Publications

Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed. 2024. « Do we really need dice? The hidden region-size biases of segmentation losses ». Medical Image Analysis. vol. 91

Sukesh Adiga V, Jose Dolz, Herve Lombaert. 2024. « Anatomically-aware uncertainty for semi-supervised image segmentation ». Medical Image Analysis. vol. 91

Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo Lopez. 2024. « Facial expression analysis using decomposed multiscale spatiotemporal networks ». Expert Systems with Applications. vol. 236

Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin. 2024. « A scalable dynamic ensemble selection using fuzzy hyperboxes ». Information Fusion. vol. 102

Faramarz Farhangian, Rafael M. O. Cruz, George D. C. Cavalcanti. 2024. « Fake news detection: Taxonomy and comparative study ». Information Fusion. vol. 103

Mariana A. Souza, Robert Sabourin, Geroge D. C. Cavalcanti, Rafael M. O. Cruz. 2024. « A dynamic multiple classifier system using graph neural network for high dimensional overlapped data ». Information Fusion. vol. 103

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2023. « TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos ». 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 02-07, 2023) p. 137-146. Institute of Electrical and Electonics Engineers Inc..

Ismail Ben Ayed. 2023. « High-order models in semantic image segmentation ». Elsevier. 168 p.

Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Celine Hudelot, Ismail Ben Ayed. 2023. « Open-set likelihood maximization for few-shot learning ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) p. 24007-24016. Institute of Electrical and Electonics Engineers Inc..

Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz. 2023. « A strong baseline for generalized few-shot semantic segmentation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) p. 11269-11278. IEEE.

Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz. 2023. « Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ». Medical Image Analysis. vol. 83

Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed. 2023. « Class adaptive network calibration ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) p. 16070-16079. IEEE Computer Society.

Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz. 2023. « Trust your neighbours: Penalty-based constraints for model calibration ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023) p. 572-581. Springer Science and Business Media Deutschland GmbH.

Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz. 2023. « Calibrating segmentation networks with margin-based label smoothing ». Medical Image Analysis. vol. 87

David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers. 2023. « TTTFlow: Unsupervised Test-Time Training with Normalizing Flow ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) p. 2125-2133. Institute of Electrical and Electronics Engineers Inc..

Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida. 2023. « Adversarial robustness via Fisher-Rao Regularization ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 45 , nº 3. 12 p. p. 2698-2710.

Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed. 2023. « Proximal splitting adversarial attack for semantic segmentation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) p. 20524-20533. Institute of electrical and Electonics Engineers Inc..

Julio Silva-Rodríguez, José Dolz, Ismail Ben Ayed. 2023. « Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops : ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023 : Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023) p. 213-224. Springer Science and Business Media.

R. Gnana Praveen, Patrick Cardinal, Eric Granger. 2023. « Audio-visual fusion for emotion recognition in the valence-arousal space using joint cross-attention ». IEEE Transactions on Biometrics, Behavior, and Identity Science. vol. 5 , nº 3. p. 360-373.

Guillaume Simard, Cédric Melançon, Patrick Cardinal, Julien Gascon-Samson. 2023. « Performance characterization of MQTT brokers in a device-local edge deployment ». MiddleWEdge 2023 - Proceedings of the 2nd International Workshop on Middleware for the Edge (Bologna, Italia, Dec. 11, 2023) p. 13-18. Association for Computing Machinery, Inc.

Farzad Beizaee, Michele Bona, Christian Desrosiers, Jose Dolz, Gregory Lodygensky. 2023. « Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks ». Scientific Reports. vol. 13 , nº 1.

Farzad Beizaee, Christian Desrosiers, Gregory A. Lodygensky, Jose Dolz. 2023. « Harmonizing flows: Unsupervised MR harmonization based on normalizing flows ». Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) p. 347-359. Springer.

Ahmad Chaddad, Guina Tan, Xiaojuan Liang, Lama Hassan, Saima Rathore, Christian Desrosiers, Yousef Katib, Tamim Niazi. 2023. « Advancements in MRI-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects ». Cancers. vol. 15 , nº 15.

Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert. 2023. « Active learning for medical image segmentation with stochastic batches ». Medical Image Analysis. vol. 90

Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2023. « Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation ». Medical Image Analysis. vol. 90

Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers. 2023. « Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation ». Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023) p. 717-729. Springer.

Xuan Li, Christian Desrosiers, Xue Liu. 2023. « Deep neural forest for out-of-distribution detection of skin lesion images ». IEEE Journal of Biomedical and Health Informatics. vol. 27 , nº 1. p. 157-165.

Yujie Li, Benying Tan, Shuxue Ding, Christian Desrosiers, Ahmad Chaddad. 2023. « Symmetry structured analysis sparse coding for key frame extraction ». Machine Learning for Cyber Security : 4th International Conference, ML4CS (Guangzhou, China, Dec. 02-04, 2022) p. 568-585. Springer Science and Business Media.

Djebril Mekhazni, Maximilien Dufau, Christian Desrosiers, Marco Pedersoli, Eric Granger. 2023. « Camera alignment and weighted contrastive learning for domain adaptation in video person ReID ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) p. 1624-1633. Institute of Electrical and Electronics Engineers Inc..

Christine Tremblay, Ali Mahmoudialami, Philippe Alain Ngani Sigue, Yinqing Pei, David Côté, David Boertjes, Dacian Demeter, Christian Desrosiers. 2023. « Detection and root cause analysis of performance degradation in optical networks using machine learning ». 49th European Conference on Optical Communications (ECOC) (Glasgow, Scotland, Oct. 01-05, 2023)

Ping Wang, Jizong Peng, Marco Pedersoli, Yuan-Feng Zhou, Cai-Ming Zhang, Christian Desrosiers. 2023. « CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation ». IEEE Transactions on Medical Imaging. vol. 42 , nº 8. p. 2146-2161.

Ping Wang, Jizong Peng, Marco Pedersoli, Yuan-Feng Zhou, Cai-Ming Zhang, Christian Desrosiers. 2023. « Shape-aware joint distribution alignment for cross-domain image segmentation ». IEEE Transactions on Medical Imaging. vol. 42 , nº 8. p. 2338-2347.

Somaiieh Yousefi, Hussein Chouman, Petar Djukic, Firouzeh Golaghazadeh, Christine Tremblay, Christian Desrosiers. 2023. « Forecasting lightpath quality of transmission and implementing uncertainty in the forecast models ». Journal of Lightwave Technology. vol. 41 , nº 15. p. 4871-4881.

Agostina J. Larrazabal, César Martínez, José Dolz, Enzo Ferrante. 2023. « Maximum entropy on erroneous predictions: Improving model calibration for medical image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023) p. 273-283. Springer Science and Business Media Deutschland GmbH.

Niloufar Delfan, Mohamad Forouzanfar. 2023. « Hybrid deep morpho-temporal framework for oscillometric blood pressure measurement ». IEEE Journal of Biomedical and Health Informatics. vol. 27 , nº 11. p. 5293-5301.

Kasra Nezamabadi, Neda Sardaripour, Benyamin Haghi, Mohamad Forouzanfar. 2023. « Unsupervised ECG analysis: A review ». IEEE Reviews in Biomedical Engineering. vol. 16 p. 208-224.

Melika Roshanfar, Amir Reza Ghiami Azad, Mohamad Forouzanfar. 2023. « Predicting fatigue life of shear connectors in steel-concrete composite bridges using artificial intelligence techniques ». Fatigue and Fracture of Engineering Materials and Structures. (Sous presse)

Muhammad Haseeb Aslam, Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Eric Granger. 2023. « Privileged knowledge distillation for dimensional emotion recognition in the wild ». IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023) p. 3338-3347. IEEE Computer Society.

Wheidima Carneirodemelo, Eric G. Granger, Miguel Bordallo Lopez. 2023. « MDN: A deep maximization-differentiation network for spatio-temporal depression detection ». IEEE Transactions on Affective Computing. vol. 14 , nº 1. 13 p. p. 578-590.

Thomas Dubail, Fidel Alejandro Guerrero Peña, Heitor Rapela Medeiros, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli. 2023. « Privacy-preserving person detection using low-resolution infrared cameras ». Computer Vision – ECCV 2022 Workshops (Tel Aviv, Israel, Oct. 23-27, 2022) p. 689-702. Springer Science and Business Media.

Fidel A. Guerrero Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric G. Granger, Marco Pedersoli. 2023. « Re-basin via implicit Sinkhorn differentiation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) p. 20237-20246. IEEE Computer Society.

Arthur Josi, Mahdi Alehdaghi, Rafel M. O. Cruz, Eric Granger. 2023. « Multimodal data augmentation for visual-infrared person ReID with corrupted data ». IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023) p. 32-41. Institute of Electrical and Electronics Engineers Inc..

Akhil Meethal, Eric Granger, Marco Pedersoli. 2023. « Cascaded zoom-in detector for high resolution aerial images ». IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023) p. 2046-2055. IEEE Computer Society.

Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger. 2023. « DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization ». Image and Vision Computing. vol. 140

Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger. 2023. « Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization ». IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023) p. 155-165. Institute of Electrical and Electronics Engineers Inc..

Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador Garcia, Eric Granger, Jianyi Yang. 2023. « GEN: Generative Equivariant Networks for diverse image-to-image translation ». IEEE Transactions on Cybernetics. vol. 53 , nº 2. p. 874-886.

Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger. 2023. « Image completion via dual-path cooperative filtering ». IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Rhodes Island, Greece, June 04-10, 2023) IEEE.

Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodeme, Laurent Gardes, Jie Yang. 2023. « TransVLAD: Multi-scale attention-based global descriptors for visual geo-localization ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) p. 2839-2848. Institute of Electrical and Electronics Engineers Inc..

Steve Tsham Mpinda Ataky, Alessandro Lameiras Koerich. 2023. « E-BiT: Extended bio-inspired texture descriptor for 2D texture analysis and characterization ». Electronics. vol. 12 , nº 9.

Steve Tsham Mpinda Ataky, Alessandro Lameiras Koerich. 2023. « Multiresolution texture analysis of histopathologic images using ecological diversity measures[Formula presented] ». Expert Systems with Applications. vol. 224

Steve Tsham Mpinda Ataky, Diego Saqui, Jonathan de Matos, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich. 2023. « Multiscale analysis for improving texture classification ». Applied Sciences. vol. 13 , nº 3.

Jonathan de Matos, Luiz Eduardo Soares de Oliveira, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich. 2023. « Large-margin representation learning for texture classification ». Pattern Recognition Letters. vol. 170 p. 39-47.

Bernardo Bentes Gatto, Juan Gabriel Colonna, Eulanda Mirando dos Santos, Alessandro Lameiras Koerich, Kazuhiro Fukui. 2023. « Discriminative singular spectrum classifier with applications on bioacoustic signal recognition ». Digital Signal Processing: A Review Journal. vol. 133

Eduardo V. L. Barboza, Paulo R. L. De Almeida, Alceu De Souza Britto, Rafael M. O. Cruz. 2023. « Distance functions and normalization under stream scenarios ». International Joint Conference on Neural Networks (Gold Coast, Australia, June 18-23, 2023) Institute of Electrical and Electronics Engineers.

Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023. « Dynamic ensemble algorithm post-selection using hardness-aware oracle ». IEEE Access. vol. 11 p. 86056-86070.

Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023. « The choice of scaling technique matters for classification performance ». Applied Soft Computing. vol. 133

Mariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti, Rafael Menelau Oliveira E. Cruz. 2023. « GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network ». Graph-Based Representations in Pattern Recognition : 13th IAPR-TC-15 International Workshop, GbRPR, Proceedings (Vietri sul Mare, Italy, Sept. 06-08, 2023) p. 59-69. Springer Science and Business Media.

Leandro A. Ensina, Luiz E. S. de Oliveira, Rafael M. O. Cruz, G. D. C. Cavalcanti. 2023. « Fault distance estimation for transmission lines with dynamic regressor selection ». Neural Computing & Applications. (Sous presse)

Walber M. Rodrigues, Felipe N. Walmsley, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023. « Security relevant methods of Android's API classification: A machine learning empirical evaluation ». IEEE Transactions on Computers. vol. 72 , nº 11. p. 3273-3285.

Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023. « OLP++: An online local classifier for high dimensional data ». Information Fusion. vol. 90 p. 120-137.

Talles B. Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2023. « A multi-task approach for contrastive learning of handwritten signature feature representations ». Expert Systems with Applications. vol. 217

Juan A. Rodriguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez. 2023. « OCR-VQGAN: Taming text-within-image generation ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) p. 3678-3687. Institute of Electrical and Electronics Engineers Inc..

Zahra Batool, Kaiwen Zhang, Matthew Toews. 2023-01-30. « Blockchain technologies for decentralized machine learning ». Substance ÉTS. vol.

Zahra Batool, Kaiwen Zhang, Matthew Toews. 2023-01-30. « Les chaînes de blocs pour l’apprentissage machine décentralisé ». Substance ÉTS. vol.

Nathan Molinier, Guillaume Painchaud-April, Alain Le Duff, Matthew Toews, Pierre Bélanger. 2023. « Ultrasonic imaging using conditional generative adversarial networks ». Ultrasonics. vol. 133

Ayden Watt, James Lee, Matthew Toews, Mirko S. Gilardino. 2023. « Smartphone integration of artificial intelligence for automated plagiocephaly diagnosis ». Plastic and Reconstructive Surgery - Global Open. vol. 11 , nº 5.

M. Bashir, N. Zonzini, S. L. Martel, R. M. Botez, A. Ceruti, T. Wong. 2023. « Numerical investigation of the dynamic stall reduction on the UAS-S45 aerofoil using the optimised aerofoil method ». Aeronautical Journal. (Sous presse)

Musavir Bashir, Nicola Zonzini, Ruxandra Mihaela Botez, Alessandro Ceruti, Tony Wong. 2023. « Flow control around the UAS-S45 pitching airfoil using a dynamically morphing leading edge (DMLE): A numerical study ». Biomimetics. vol. 8 , nº 1.

Hossein Havaeji, Thien-My Dao, Tony Wong. 2023. « Cost prediction in blockchain-enabled pharmaceutical supply chain under uncertain demand ». Mathematics. vol. 11 , nº 22.

Hossein Havaeji, Thien-My Dao, Tony Wong. 2023. « Supervised learning by evolutionary computation tuning: An application to blockchain-based pharmaceutical supply chain cost model ». Mathematics. vol. 11 , nº 9.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2022. « Source-free domain adaptation for image segmentation ». Medical Image Analysis. vol. 82

Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed. 2022. « Test-time adaptation with shape moments for image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings Part IV (Singapore, Singapore, Sept. 18-22, 2022) p. 736-745. Springer Science and Business Media Deutschland GmbH.

Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Éric Granger. 2022. « Negative evidence matters in interpretable histology image classification ». Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022) p. 103-129. ML Research Press.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022. « Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ». IEEE Transactions on Medical Imaging. vol. 41 , nº 3. p. 702-714.

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022. « F-CAM: Full resolution class activation maps via guided parametric upscaling ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2022) p. 3727-3736. Institute of Electrical and Electronics Engineers Inc..

Malik Boudiaf, Romain Mueller, Ismail Ben Ayed, Luca Bertinetto. 2022. « Parameter-free online test-time adaptation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022) p. 8334-8343.

A. Galdran, H. Chakor, W. Kabir, R. Kobbi, B. Liu, J. Dolz, I. Ben Ayed. 2022. « An automatic deep learning-based system for screening and management of DME ». Diabetes Research and Clinical Practice. vol. 186 , nº Suppl. 1. p. 4-5.

Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2022. « State-of-the-art retinal vessel segmentation with minimalistic models ». Scientific Reports. vol. 12 , nº 1.

H. Kervadec, J. Dolz, J. Yuan, C. Desrosiers, E. Granger, I. Ben Ayed. 2022. « Constrained deep networks: Lagrangian optimization via Log-barrier extensions ». 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022) p. 962-966. European Signal Processing Conference, EUSIPCO.

Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz. 2022. « The devil is in the margin: Margin-based label smoothing for network calibration ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022) p. 80-88.

Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed. 2022. « Towards practical few-shot query sets: Transductive minimum description length inference ». Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022) Neural information processing systems foundation.

Guillaume Baril, Patrick Cardinal, Alessandro Lameiras Koerich. 2022. « Named entity recognition for audio de-identification ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) Institute of Electrical and Electronics Engineers Inc..

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich. 2022. « From environmental sound representation to robustness of 2D CNN models against adversarial attacks ». Applied Acoustics. vol. 195

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich. 2022. « Towards robust speech-to-text adversarial attack ». 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (Singapore, Singapore, May 23-27, 2022) p. 2869-2873. Institute of Electrical and Electronics Engineers Inc..

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich. 2022. « Multidiscriminator sobolev defense-GAN against adversarial attacks for end-to-end speech systems ». IEEE Transactions on Information Forensics and Security. vol. 17 p. 2044-2058.

Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta, Franois-Xavier Devailly, Wissem Maazoun, Patrick Cardinal. 2022. « Bi-discriminator GAN for tabular data synthesis ». Pattern Recognition Letters. vol. 159 p. 204-210.

Mohammad Esmaeilpour, Nourhene Chaalia, Patrick Cardinal. 2022. « RSD-GAN: Regularized sobolev defense GAN against speech-to-text adversarial attacks ». IEEE Signal Processing Letters. vol. 29 p. 1998-2002.

R. G. Praveen, W. C. de Melo, N. Ullah, H. Aslam, O. Zeeshan, T. Denorme, M. Pedersoli, A. L. Koerich, S. Bacon, P. Cardinal, E. Granger. 2022. « A joint cross-attention model for audio-visual fusion in dimensional emotion recognition ». IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (New Orleans, LA, USA, June 19-20, 2022) p. 2485-2494. Piscataway, NJ, USA : IEEE.

Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi. 2022. « Deep radiomic signature with immune cell markers predicts the survival of glioma patients ». Neurocomputing. vol. 469 p. 366-375.

Ahmad Chaddad, Lama Hassan, Christian Desrosiers. 2022. « Deep radiomic analysis for predicting coronavirus disease 2019 in computerized tomography and X-ray images ». IEEE Transactions on Neural Networks and Learning Systems. vol. 33 , nº 1. p. 3-11.

Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William Wells, Matthew Toews. 2022. « Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets ». IEEE Transactions on Medical Imaging. vol. 41 , nº 4. p. 836-845.

Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert. 2022. « TAAL: Test-time augmentation for active learning in medical image segmentation ». Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 22, 2022) p. 43-53. Springer.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2022. « Learnable pooling in graph convolutional networks for brain surface analysis ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 44 , nº 2. p. 864-876.

Koffi Kossi, Stéphane Coulombe, Christian Desrosiers, Ghyslain Gagnon. 2022. « No-reference video quality assessment using distortion learning and temporal attention ». IEEE Access. vol. 10 p. 41010-41022.

Xuan Li, Christian Desrosiers, Xue Liu. 2022. « Symmetric contrastive loss for out-of-distribution skin lesion detection ». 19th IEEE International Symposium on Biomedical Imaging (ISBI) (Kolkata, India, Mar. 28-31, 2022) IEEE Computer Society.

Jinhua Liu, Zhiming Cui, Christian Desrosiers, Shuyi Lu, Yuanfeng Zhou. 2022. « Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation ». Medical Image Analysis. vol. 81

Jinhua Liu, Christian Desrosiers, Yuanfeng Zhou. 2022. « Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings VIII (Singapore, Singapore, Sept. 18-22, 2022) p. 140-150. Springer Science and Business Media Deutschland GmbH.

Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis. 2022. « Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems ». In Recommender systems handbook . Third edition. p. 39-89. Springer US.

Yinqing Pei, David Côté, Philippe Alain Ngani Sigue, Ali Mahmoudialami, Christine Tremblay, Christian Desrosiers. 2022-10-18. « Identifying root causes of network service degradation ».

M. Yazdanpanah, A. A. Rahman, M. Chaudhary, C. Desrosiers, M. Havaei, E. Belilovsky, S. E. Kahou. 2022. « Revisiting learnable affines for batch norm in few-shot transfer learning ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022) p. 9099-99108. Piscataway, NJ, USA : IEEE.

Sukesh Adiga V, Jose Dolz, Herve Lombaert. 2022. « Attention-based dynamic subspace learners for medical image analysis ». IEEE Journal of Biomedical and Health Informatics. vol. 26 , nº 9. p. 4599-4610.

Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert. 2022. « Leveraging labeling representations in uncertainty-based semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference ; Proceedings, Part VIII (Singapore, Singapore, Sept. 18-22, 2022) p. 265-275. Springer Science and Business Media Deutschland GmbH.

Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2022. « Incremental multi-target domain adaptation for object detection with efficient domain transfer ». Pattern Recognition. vol. 129

Gaurav Patel, Jose Dolz. 2022. « Weakly supervised segmentation with cross-modality equivariant constraints ». Medical Image Analysis. vol. 77

Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz. 2022. « Constrained unsupervised anomaly segmentation ». Medical Image Analysis. vol. 80

Martin Van Waerebeke, Gregory Lodygensky, Jose Dolz. 2022. « On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation ». Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 18, 2022) p. 36-46. Springer Science and Business Media Deutschland GmbH.

Jennifer Kwiatkowski, Mohammad Jolaei, Alexandre Bernier, Vincent Duchaine. 2022. « The good grasp, the bad grasp, and the plateau in tactile-based grasp stability prediction ». IEEE International Conference on Intelligent Robots and Systems (Kyoto, Japan, Oct. 23-27, 2022) p. 4653-4659. Institute of Electrical and Electronics Engineers Inc..

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Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger. 2022. « Generative target update for adaptive siamese tracking ». Pattern Recognition and Artificial Intelligence : Third International Conference, ICPRAI 2022 : Proceedings, Par I (Paris, France, June 01-03, 2022) p. 502-513. Springer Science and Business Media Deutschland GmbH.

Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger. 2022. « Semi-weakly supervised object detection by sampling pseudo ground-truth boxes ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) Institute of Electrical and Electronics Engineers Inc..

Pourya Shamsolmoali, Masoumeh Zareapoor, Yang Jie, Eric Granger, Jocelyn Chanussot. 2022. « Enhanced single-shot detector for small object detection in remote sensing images ». IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (Kuala Lumpur, Malaysia, July 17-22, 2022) p. 1716-1719. Piscataway, NJ, USA : IEEE.

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Bruna Rossetto Delazeri, Leonardo Leon Vera, Jean Paul Barddal, Alessandro L. Koerich, S. Britto Alceu de. 2022. « Evaluation of self-taught learning-based representations for facial emotion recognition ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) IEEE.

Thiago M. Paixao, Rodrigo F. Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos. 2022. « A human-in-the-loop recommendation-based framework for reconstruction of mechanically shredded documents ». Pattern Recognition Letters. vol. 164 8 p.

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Talles B. Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2022. « Contrastive learning of handwritten signature representations for writer-independent verification ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) IEEE.

Felipe N. Walmsley, George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz. 2022. « An investigation into the effects of label noise on Dynamic Selection algorithms ». Information Fusion. vol. 80 p. 104-120.

Zahra Batool, Kaiwen Zhang, Matthew Toews. 2022. « FL-MAB: Client selection and monetization for blockchain-based federated learning ». Proceedings of the ACM Symposium on Applied Computing (En ligne, Apr. 25-29, 2022) p. 299-307. Association for Computing Machinery.

Musavir Bashir, Simon Longtin-Martel, Ruxandra M. Botez, Tony Wong. 2022. « Aerodynamic design and shape optimization of the UAS-S45 camber adaptive winglet ». AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum) (San Diego, CA, USA - En ligne, Jan. 03-07, 2022) American Institute of Aeronautics and Astronautics Inc..

Musavir Bashir, Simon Longtin-Martel, Ruxandra M. Botez, Tony Wong. 2022. « Aerodynamic shape optimization of camber morphing airfoil based on black widow optimization ». AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum) (San Diego, CA, USA - En ligne, Jan. 03-07, 2022) American Institute of Aeronautics and Astronautics Inc..

Musavir Bashir, Simon Longtin-Martel, Ruxandra Mihaela Botez, Tony Wong. 2022. « Optimization and design of a flexible droop-nose leading-edge morphing wing based on a novel black widow optimization algorithm—part I ». Designs. vol. 6 , nº 1. 27 p.

Musavir Bashir, Simon Longtin-Martel, Nicola Zonzini, Ruxandra Mihaela Botez, Alessandro Ceruti, Tony Wong. 2022. « Optimization and design of a flexible droop nose leading edge morphing wing based on a novel black widow optimization (B.W.O.) algorithm—part II ». Designs. vol. 6 , nº 6.

Hossein Havaeji, Thien-My Dao, Tony Wong. 2022. « Cost optimization of blockchain technology-enabled supply chain system using evolutionary computation approaches: A healthcare case study ». World Wide Journal of Multidisciplinary Research and Development. vol. 8 , nº 3. p. 27-42.

Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz. 2021. « On the texture bias for few-shot CNN segmentation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021) p. 2673-2682. Institute of Electrical and Electronics Engineers.

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Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2021. « Deep active learning for joint classification segmentation with weak annotator ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) p. 3337-3346. Los Alamitos, CA, USA : IEEE Computer Society.

Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz. 2021. « Few-shot segmentation without meta-learning: A good transductive inference is all you need? ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 20-25, 2021) p. 13974-13983. IEEE.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2021. « Teach me to segment with mixed supervision: Confident students become masters ». 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, Virtual, Online, 28 June 2021 - 30 June 2021 (En ligne, June 28-20, 2021) p. 517-529. Springer.

Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed. 2021. « Deep clustering: On the link between discriminative models and K-means ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 43 , nº 6. p. 1887-1896.

Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon, Jose Dolz, Ismail Ben Ayed. 2021. « Beyond pixel-wise supervision: semantic segmentation with higher-order shape descriptors ». Proceedings of the Fourth Conference on Medical Imaging with Deep Learning (Lübeck, Germany, En ligne, July 07-09, 2021) p. 354-368. PMLR.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, José Dolz, Ismail Ben Ayed. 2021. « Boundary loss for highly unbalanced segmentation ». Medical Image Analysis. vol. 67 11 p.

Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger. 2021. « Flow guided mutual attention for person re-identification ». Image and Vision Computing. vol. 113 11 p.

Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger. 2021. « Exploiting prunability for person re-identification ». Eurasip Journal on Image and Video Processing. vol. 2021 , nº 1.

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Jerome Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed. 2021. « Augmented Lagrangian Adversarial Attacks ». 18th IEEE/CVF International Conference on Computer Vision (ICCV) (Montreal, QC, Canada - en ligne, Oct. 10-17, 2021) p. 7718-7727. Institute of Electrical and Electronics Engineers Inc..

Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed. 2021. « Realistic evaluation of transductive few-shot learning ». Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (Sydney, Australia, Dec. 06-14, 2021) p. 9290-9302. Neural information processing systems foundation.

Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Jie Chen, Huihui Zhou, Ismail Ben Ayed, Hairong Zheng. 2021. « Annotation-efficient deep learning for automatic medical image segmentation ». Nature Communications. vol. 12 , nº 1. 13 p.

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Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich. 2021. « Class-conditional defense GaN against end-to-end speech attacks ». IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Toronto, ON, Canada - En ligne, June 06-11,, 2021) p. 2565-2569. Institute of Electrical and Electronics Engineers Inc..

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R. Gnana Praveen, Eric Granger, Patrick Cardinal. 2021. « Cross attentional audio-visual fusion for dimensional emotion recognition ». 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (Jodhpur, India, Dec. 15-18, 2021) Institute of Electrical and Electronics Engineers Inc..

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Mirmohammad Saadati, Marco Pedersoli, Patrick Cardinal, Peter Oliver. 2021. « RADARSAT-2 Synthetic-Aperture radar land cover segmentation using deep convolutional neural networks ». Pattern Recognition. ICPR International Workshops and Challenges, Virtual Event, January 10-15, 2021, Proceedings Part VIII (Milan, Italy, Jan. 10-15, 2021) p. 106-117. Springer.

Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert. 2021. « Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ». Computational Diffusion MRI : International MICCAI Workshop 2020 (Lima, Peru - En ligne, Oct. 08, 2020) p. 213-224. Springer Science and Business Media.

Ahmad Chaddad, Lama Hassan, Christian Desrosiers. 2021. « Deep CNN models for predicting COVID-19 in CT and X-ray images ». Journal of medical imaging. vol. 8 , nº suppl. 1.

Ahmad Chaddad, Jiali Li, Qizong Lu, Yujie Li, Idowu Paul Okuwobi, Camel Tanougast, Christian Desrosiers, Tamim Niazi. 2021. « Can autism be diagnosed with artificial intelligence? A narrative review ». Diagnostics. vol. 11 , nº 11. 16 p.

Ahmad Chaddad, Paul Sargos, Christian Desrosiers. 2021. « Modeling texture in deep 3D CNN for survival analysis ». IEEE Journal of Biomedical and Health Informatics. vol. 25 , nº 7. p. 2454-2462.

Hussein Chouman, Petar Djukic, Christine Tremblay, Christian Desrosiers. 2021. « Forecasting lightpath QoT with deep neural networks ». Optical Fiber Communications Conference and Exhibition (OFC) - Proceedings (San Francisco, CA, USA, June 06-10, 2021) IEEE.

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Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2021. « SegRecon : Learning joint brain surface reconstruction and segmentation from images ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII (Strasbourg, France, Sept. 27-Oct. 01, 2021) p. 650-659. Springer Science and Business Media.

Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin. 2021. « Privacy preserving for medical image analysis via non-linear deformation proxy ». 32nd British Machine Vision Conference, BMVC (Online, Nov. 22-25, 2021) British Machine Vision Association, BMVA.

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Jie Mei, Christian Desrosiers, Johannes Frasnelli. 2021. « Machine learning for the diagnosis of parkinson's disease: A review of literature ». Frontiers in Aging Neuroscience. vol. 13

Jie Mei, Cecilia Tremblay, Nikola Stikov, Christian Desrosiers, Johannes Frasnelli. 2021. « Differentiation of Parkinson's disease and non-Parkinsonian olfactory dysfunction with structural MRI data ». Medical Imaging : Image Processing : Progress in Biomedical Optics and Imaging (En ligne, Feb. 15-19, 2021) SPIE.

Jizong Peng, Ping Wang, Christian Desrosiers, Marco Pedersoli. 2021. « Self-paced contrastive learning for semi-supervised medical image segmentation with meta-labels ». Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (En ligne, Dec. 06-14, 2021) p. 16686-16699. Neural information processing systems foundation.

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Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2021-03-09. « Methods and systems for determining motion vectors in a motion estimation process of a video encoder ».

Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers. 2021. « Context-aware virtual adversarial training for anatomically-plausible segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I (Strasbourg, France, Sept. 27-Oct. 01, 2021) p. 304-314. Springer Science and Business Media Deutschland GmbH.

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Guangshun Wei, Long Ma, Chen Wang, Christian Desrosiers, YuanFeng Zhou. 2021. « Multi-task joint learning of 3D keypoint saliency and correspondence estimation ». CAD Computer Aided Design. vol. 141 13 p.

Banti Laure Mathilde Yaméogo, Douglas W. Charlton, David Doucet, Christian Desrosiers, Maurice O' Sullivan, Christine Tremblay. 2021-01-25. « Detecting Performance Degradation in Fiber-Optic Cables ». Substance ÉTS. vol.

Banti Laure Mathilde Yaméogo, Douglas W. Charlton, David Doucet, Christian Desrosiers, Maurice O' Sullivan, Christine Tremblay. 2021-01-25. « Détection de dégradations de performance dans les câbles de fibre optique ». Substance ÉTS. vol.

Mark G. Bandyk, Dheeraj R. Gopireddy, Chandana Lall, K. C. Balaji, Jose Dolz. 2021. « MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons ». Computers in Biology and Medicine. vol. 134 12 p.

Gabriel Garcia, Adrian Colomer, Rafael Verdu-Monedero, Jose Dolz, Valery Naranjo. 2021. « A self-training framework for glaucoma grading in OCT B-scans ». 29th European Signal Processing Conference (EUSIPCO) (Dublin, Ireland, Aug. 23-27, 2021) p. 1281-1285. IEEE.

Agostina J. Larrazabal, César Martínez, Jose Dolz, Enzo Ferrante. 2021. « Orthogonal ensemble networks for biomedical image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III (Strasbourg, France, Sept. 27-Oct. 01, 2021) p. 594-603. Springer Science and Business Media.

L. T. Nguyen-Meidine, A. Belal, M. Kiran, J. Dolz, L. A. Blais-Morin, E. Granger. 2021. « Unsupervised multi-target domain adaptation through knowledge distillation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) p. 1338-1346. Los Alamitos, CA, USA : IEEE Computer Society.

Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger. 2021. « Knowledge distillation methods for efficient unsupervised adaptation across multiple domains ». Image and Vision Computing. vol. 108 11 p.

Julio Silva-Rodriguez, Adrián Colomer, Jose Dolz, Valery Naranjo. 2021. « Self-learning for weakly supervised gleason grading of local patterns ». IEEE Journal of Biomedical and Health Informatics. vol. 25 , nº 8. p. 3094-3104.

Ashish Sinha, José Dolz. 2021. « Multi-scale self-guided attention for medical image segmentation ». IEEE Journal of Biomedical and Health Informatics. vol. 25 , nº 1. p. 121-130.

Alizera Mohseni, Vincent Duchaine, Tony Wong. 2021. « Experimental study of path planning problem using EMCOA for a holonomic mobile robot ». Journal of Systems Engineering and Electronics. vol. 32 , nº 6. p. 1450-1462.

Jean-Philippe Roberge, Louis L'Ecuyer-Lapierre, Jennifer Kwiatkowski, Philippe Nadeau, Vincent Duchaine. 2021. « Tactile-based object recognition using a grasp-centric exploration ». IEEE 17th International Conference on Automation Science and Engineering (CASE) (Lyon, France, Aug. 23-27, 2021) p. 494-501. IEEE Computer Society.

Jean-Philippe Roberge, Louis L'Écuyer-Lapierre, Jennifer Kwiatkowski, Philippe Nadeau, Vincent Duchaine. 2021. « Tactile-based object recognition using a grasp-centric exploration ». Communication lors de la conférence : IEEE 17th International Conference on Automation Science and Engineering (CASE) ( Lyon, France, Aug. 23-27, 2021 )

Mahsa Bahrami, Mohamad Forouzanfar. 2021. « Detection of sleep apnea from single-lead ECG : Comparison of deep learning algorithms ». IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Lausanne, Switzerland - En ligne, June 23-25, 2021) Institute of Electrical and Electonics Engineers.

Massimiliano de Zambotti, Mohamad Forouzanfar, Harold Javitz, Aimée Goldstone, Stephanie Claudatos, Vanessa Alschuler, Fiona C. Baker, Ian M. Colrain. 2021. « Impact of evening alcohol consumption on nocturnal autonomic and cardiovascular function in adult men and women: a dose–response laboratory investigation ». Sleep. vol. 44 , nº 1.

Nosratallah Forghani, Keivan Maghooli, Nader Jafarnia Dabanloo, Ali Vasheghani Farahani, Mohamad Forouzanfar. 2021. « Intelligent oscillometric system for automatic detection of peripheral arterial disease ». IEEE Journal of Biomedical and Health Informatics. vol. 25 , nº 8. p. 3209-3218.

Nosratallah Forghani, Keivan Maghooli, Nader Jafarnia Dabanloo, Ali Vasheghani Farahani, Mohamad Forouzanfar. 2021. « Automated, portable, and low-cost system for home screening of peripheral arterial disease ». IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Lausanne, Switzerland - En ligne, June 23-25, 2021) Institute of Electrical and Electronics Engineers Inc..

Elham Foroozanfar, Mohamad Forouzanfar, Tahereh Farkhondeh, Saeed Samarghandian, Fatemeh Forouzanfar. 2021. « ACE2 as a potential target for management of novel coronavirus (nCoV-2019) ». Current Drug Discovery Technologies. vol. 18 , nº 6.

Mohamad Forouzanfar, Fiona C. Baker, Massimiliano de Zambotti, Stephanie Claudatos, Bing-Bing Chai, James Bergen, Jeffrey Lubin. 2021. « Physiological synchrony: A new approach toward identifying unknown presentation attacks on biometric systems ». IEEE Transactions on Instrumentation and Measurement. vol. 70

M. Hasan Azad, R. Farzam, H. Sadeghi, N. Zarif Yussefian, M. Forouzanfar. 2021. « Toward continuous estimation of cardiorespiratory parameters in oscillometry : A simulation study ». IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Lausanne, Switzerland - En ligne, June 23-25, 2021) Institute of Electrical and Electonics Engineers.

Dilara Yuksel, Fiona C. Baker, Aimee Goldstone, Stephanie A. Claudatos, Mohamad Forouzanfar, Devin E. Prouty, Ian M. Colrain, Massimiliano de Zambotti. 2021. « Stress, sleep, and autonomic function in healthy adolescent girls and boys: Findings from the NCANDA study ». Sleep Health. vol. 7 , nº 1. p. 72-78.

Theo Ayral, Marco Pedersoli, Simon Bacon, Eric Granger. 2021. « Temporal stochastic softmax for 3D CNNs : An application in facial expression recognition ». IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021) p. 3028-3037. Institute of Electrical and Electronics Engineers.

Jesús Fonseca, Miguel De-la-Torre, Salvador Cervantes, Eric Granger, Jezreel Mejia. 2021. « COMET-OCEP: A software process for research and development ». New Perspectives in Software Engineering : Proceedings of the 9th International Conference on Software Process Improvement (CIMPS 2020) (Mazatlán, Mexico, Oct. 21-23, 2020) p. 99-112. Springer.

Madhu Kiran, Gnana R. Praveen, Le Thanh Nguyen-Meidine, Soufiane Belharbi, Louis-Antoine Blais Morin, Eric Granger. 2021. « Holistic guidance for occluded person re-identification ». The 32nd British Machine Vision Conference (En ligne, Nov. 22-25, 2021) BMVC.

Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang. 2021. « Image synthesis with adversarial networks: A comprehensive survey and case studies ». Information Fusion. vol. 72 p. 126-146.

Thomas Teixeira, Eric Granger, Alessandro Lameiras Koerich. 2021. « Continuous emotion recognition with spatiotemporal convolutional neural networks ». Applied Sciences. vol. 11 , nº 24.

Safaa Allamy, Alessandro Lameiras Koerich. 2021. « 1D CNN architectures for music genre classification ». IEEE Symposium Series on Computational Intelligence (SSCI) (Orlando, FL, USA, Dec. 05-07, 2021) Institute of Electrical and Electronics Engineers Inc..

Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto, Luiz Eduardo Soares de Oliveira, Alessandro Lameiras Koerich. 2021. « Machine learning methods for histopathological image analysis: A review ». Electronics. vol. 10 , nº 5. 42 p.

Bernardo B. Gatto, Eulanda M. dos Santos, Alessandro L. Koerich, Kazuhiro Fukui, Waldir S. S. Júnior. 2021. « Tensor analysis with n-mode generalized difference subspace ». Expert Systems with Applications. vol. 171 11 p.

Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2021. « An investigation of feature selection and transfer learning for writer-independent offline handwritten signature verification ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021) p. 1475-1482. Institute of Electrical and Electronics Engineers Inc..

A. Zambelis, M. Saadati, G. M. Dallago, P. Stecko, V. Boyer, J. P. Parent, M. Pedersoli, E. Vasseur. 2021. « Automation of video-based location tracking tool for dairy cows in their housing stalls using deep learning ». Smart Agricultural Technology. vol. 1

Arthur Chapon, Daniel Pereira, Matthew Toews, Pierre Belanger. 2021. « Deconvolution of ultrasonic signals using a convolutional neural network ». Ultrasonics. vol. 111

François Duhaime, Pouyan Pirnia, Javad Manashti, Mehdi Temimi, Jean-Sébastien Dubé, Matthew Toews. 2021. « Particle size distribution from photographs: comparison of synthetic and real granular material images ». GeoNiagara 2021 : 74e conférence canadienne de géotechnique et la 14e conférence conjointe SCG/AIH-SNC sur les eaux souterraines (Niagara Falls, ON, Canada, Sept. 26-29, 2021)

Musavir Bashir, Simon Longtin-Martel, Ruxandra Mihaela Botez, Tony Wong. 2021. « Aerodynamic design optimization of a morphing leading edge and trailing edge airfoil-application on the UAS-S45 ». Applied Sciences. vol. 11 , nº 4. 33 p.

Francois Blackburn-Grenon, Alain Abran, Michel Rioux, Tony Wong. 2021. « A team-based workshop to capture organizational knowledge for identifying AI proof-of-value projects ». IEEE Engineering Management Review. vol. 49 , nº 2. p. 181-195.

Mathilde Bateson, Hoel Kervadec, José Dolz, Hervé Lombaert, Ismail Ben Ayed. 2020. « Source-relaxed domain adaptation for image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I (Lima, Peru, Oct. 04-08, 2020) p. 490-499. Springer Science and Business Media Deutschland GmbH.

Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Éric Granger. 2020. « Pose guided gated fusion for person re-identification ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020) p. 2664-2673. Institute of Electrical and Electronics Engineers Inc..

Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed. 2020. « Transductive information maximization for few-shot learning ». Neural Information Processing Systems Online Conference (NeuroIPS) (En ligne, Dec. 06-12, 2020)

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed. 2020. « A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses ». Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020) p. 548-564. Springer.

Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed. 2020. « Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ». Computerized Medical Imaging and Graphics. vol. 79

Adrian Galdran, Jihed Chelbi, Riadh Kobi, José Dolz, Hervé Lombaert, Ismail Ben Ayed, Hadi Chakor. 2020. « Non-uniform label smoothing for diabetic retinopathy grading from retinal fundus images with deep neural networks ». Translational Vision Science and Technology. vol. 9 , nº 2. 8 p.

Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2020. « Cost-sensitive regularization for diabetic retinopathy grading from eye fundus images ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V (Lima, Peru, Oct. 04-08, 2020) p. 665-674. Springer International Publishing.

Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed. 2020. « Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) p. 365-381. PLMR.

Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers. 2020. « Discretely-constrained deep network for weakly supervised segmentation ». Neural Networks. vol. 130 p. 297-308.

Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida. 2020. « On direct distribution matching for adapting segmentation networks ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) p. 624-637. PLMR.

Kumaradevan Punithakumar, Ismail Ben Ayed, Abraam S. Soliman, Aashish Goela, Ali Islam, Shuo Li, Michelle Noga. 2020. « 3D motion estimation of left ventricular dynamics using MRI and track-to-track fusion ». IEEE Journal of Translational Engineering in Health and Medicine. vol. 8 8 p.

Ruobing Shen, Bo Tang, Andrea Lodi, Andrea Tramontani, Ismail Ben Ayed. 2020. « An ILP model for multi-label MRFs with connectivity constraints ». IEEE Transactions on Image Processing. vol. 29 p. 6909-6917.

Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed. 2020. « Laplacian regularized few-shot learning ». 37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020) p. 11596-11606.

Marie-Michèle Dufour, Marc J. Lanovaz, Patrick Cardinal. 2020. « Artificial intelligence for the measurement of vocal stereotypy ». Journal of the Experimental Analysis of Behavior. vol. 114 , nº 3. p. 368-380.

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich. 2020. « A robust approach for securing audio classification against adversarial attacks ». IEEE Transactions on Information Forensics and Security. vol. 15 , nº 1. p. 2147-2159.

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich. 2020. « Unsupervised feature learning for environmental sound classification using Weighted Cycle-Consistent Generative Adversarial Network ». Applied Soft Computing Journal. vol. 86

Gnana R. Praveen, Eric Granger, Patrick Cardinal. 2020. « Deep weakly supervised domain adaptation for pain localization in videos ». 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG) (Buenos Aires, Argentina, Nov. 16-20, 2020) p. 473-480. IEE Computer Society.

Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal. 2020. « Adversarially training for audio classifiers ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy, Jan. 10-15, 2021) p. 9569-9576. Piscataway, NJ, USA : IEEE.

Mohamed Senoussaoui, Milton O. Saria-Paja, Patrick Cardinal, Tiago H. Falk, François Michaud. 2020. « State-of-the-art speaker recognition methods applied to speakers with dysarthria ». In Voice Technologies for Speech Reconstruction and Enhancement Coll. «Speech Technology and Text Mining in Medicine and Health Care», . p. 7-34. De Gruyter.

Benoit Anctil-Robitaille, Christian Desrosiers, Hervé Lombaert. 2020. « Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ». MICCAI 2020 Workshop on Computational Diffusion MRI (En ligne, Oct. 08, 2020)

A. Chaddad, M. Zhang, C. Desrosiers, T. Niazi. 2020. « Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma ». 1st International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, October 13, 2019 - October 13, (Shenzen, China, Oct. 13, 2019) p. 36-43. Springer.

Ahmad Chaddad, Michael J. Kucharczyk, Christian Desrosiers, Idowu Paul Okuwobi, Yousef Katib, Mingli Zhang, Saima Rathore, Paul Sargos, Tamim Niazi. 2020. « Deep radiomic analysis to predict gleason score in prostate cancer ». IEEE Access. vol. 8 p. 167767-167778.

Laurent Chauvin, Kuldeep Kumar, Christian Wachinger, Marc Vangel, Jacques de Guise, Christian Desrosiers, William Wells, Matthew Toews. 2020. « Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives ». NeuroImage. vol. 204 9 p.

Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Hervé Lombaert. 2020. « Adversarial normalization for multi domain image segmentation ». IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020) p. 849-853. IEEE.

Firouzeh Golaghazadeh, Petar Djukic, Christine Tremblay, Christian Desrosiers. 2020. « Forecasting SNR margins has low-complexity ». Proceedings OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF) (Washington, DC, USA, July 13-16, 2020) OSA - The Optical Society.

Karthik Gopinath, Christian Desrosiers, Hervé Lombaert. 2020. « Graph domain adaptation for alignment-invariant brain surface segmentation ». Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, (Lima, Peru, Oct. 08, 2020) p. 152-163. Springer.

Jin-Gong Jia, Yuan-Feng Zhou, Xing-Wei Hao, Feng Li, Christian Desrosiers, Cai-Ming Zhang. 2020. « Two-stream temporal convolutional networks for skeleton-based human action recognition ». 计算机科学技术学报 = Journal of Computer Science and Technology. vol. 35 , nº 3. p. 538-550.

Kaveh Kamali, Ali Akbar Akbari, Christian Desrosiers, Alireza Akbarzadeh, Martin J. D. Otis, Johannes C. Ayena. 2020. « Low-rank and sparse recovery of human gait data ». Sensors. vol. 20 , nº 16. 13 p.

Kaveh Kamali, Ilian A. Bonev, Christian Desrosiers. 2020. « Real-time motion planning for robotic teleoperation using dynamic-goal deep reinforcement learning ». 17th Conference on Computer and Robot Vision (CRV) (Ottawa, ON, Canada, May 13, 2020 - May 15, 2020) p. 182-189. Institute of Electrical and Electronics Engineers Inc..

Jinhua Liu, Christian Desrosiers, Yuanfeng Zhou. 2020. « Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation ». Neurocomputing. vol. 411 p. 139-148.

Ameni Mezni, Douglas W. Charlton, Christine Tremblay, Christian Desrosiers. 2020. « Deep learning for multi-step performance prediction in operational optical networks ». Conference on Lasers and Electro-Optics (CLEO) (San Jose, CA, USA, May 10-15, 2020) IEEE.

Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers. 2020. « Deep co-training for semi-supervised image segmentation ». Pattern Recognition. vol. 107 13 p.

Jizong Peng, Marco Pedersoli, Christian Desrosiers. 2020. « Mutual information deep regularization for semi-supervised segmentation ». Proceedings of the Third Conference on Medical Imaging with Deep Learning (Montreal, QC, Canada, July 06-08, 2020) p. 601-613. PMLR.

He Ran, Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2020. « Spectral graph transformer networks for brain surface parcellation ». IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020) p. 372-376. Piscataway, NJ, USA : IEEE.

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2020. « Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC ». Signal Processing : Image Communication. vol. 81 14 p.

Banti Laure M. Yaméogo, Douglas W. Charlton, David Doucet, Christian Desrosiers, Maurice O' Sullivan, Christine Tremblay. 2020. « Trends in optical span loss detected using the time series decomposition method ». Journal of Lightwave Technology. vol. 38 , nº 18. p. 5026-5035.

Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra Khundrakpam, Noor Al-Sharif, Greg Kiar, Pedro Valdes-Sosa, Jean-Baptiste Poline, Alan Evans. 2020. « Brain status modeling with non-negative projective dictionary learning ». NeuroImage. vol. 206

Yang Ding, Ronaldo Acosta, Vicente Enguix, Sabrina Suffren, Janosch Ortmann, David Luck, Jose Dolz, Gregory A. Lodygensky. 2020. « Using deep convolutional neural networks for neonatal brain image segmentation ». Frontiers in Neuroscience. vol. 14 10 p.

Nguyen-Meidine Le Thanh, Eric Granger, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin. 2020. « Joint progressive knowledge distillation and unsupervised domain adaptation ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Piscataway, NJ, USA : IEEE.

Massimiliano de Zambotti, Aimee Goldstone, Mohamad Forouzanfar, Harold Javitz, Stephanie Claudatos, Ian M. Colrain, Fiona C. Baker. 2020. « The falling asleep process in adolescents ». Sleep. vol. 43 , nº 6. 10 p.

D. Yüksel, A. Goldstone, D. Prouty, M. Forouzanfar, S. Claudatos, Q. Lee, R. Wang, T. Dulai, N. Arra, L. Volpe, I. Durley, F. Baker, M. de Zambotti. 2020. « 0916 The Use of Immersive Virtual Reality and Slow Breathing to Enhance Relaxation and Sleep in Adolescents ». Sleep. vol. 43 , nº Suppl. 1. p. A348.

Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon. 2020. « Feature learning from spectrograms for assessment of personality traits ». IEEE Transactions on Affective Computing. vol. 11 , nº 1. p. 25-31.

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger. 2020. « Robust face tracking using multiple appearance models and graph relational learning ». Machine Vision and Applications. vol. 31 , nº 4. 17 p.

Wheidima Carneiro De Melo, Eric Granger, Miguel Bordallo Lopez. 2020. « Encoding temporal information for automatic depression recognition from facial analysis ». IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Barcelona, Spain, May 04-08, 2020) p. 1080-1084. Institute of Electrical and Electronics Engineers Inc..

George Ekladious, Hugo Lemoine, Eric Granger, Kaveh Kamali, Salim Moudache. 2020. « Dual-triplet metric learning for unsupervised domain adaptation in video face recognition ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Piscataway, NJ, USA : IEEE.

Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger. 2020. « Convolutional STN for weakly supervised object localization ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021) p. 10157-10164. IEEE.

Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger. 2020. « Unsupervised domain adaptation in the dissimilarity space for person re-identification ». Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020) p. 159-174. Springer.

Fania Mokhayeri, Eric Granger. 2020. « A paired sparse representation model for robust face recognition from a single sample ». Pattern Recognition. vol. 100

Fania Mokhayeri, Eric Granger. 2020. « Video face recognition using siamese networks with block-sparsity matching ». IEEE Transactions on Biometrics, Behavior, and Identity Science. vol. 2 , nº 2. p. 133-144.

Fania Mokhayeri, Kaveh Kamali, Éric Granger. 2020. « Cross-Domain face synthesis using a controllable GAN ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020) p. 241-249. Institute of Electrical and Electronics Engineers Inc..

Le Thanh Nguyen-Meidine, Eric Granger, Madhu Kiran, Marco Pedersoli, Louis-Antoine Blais-Morin. 2020. « Progressive gradient pruning for classification, detection and domain adaptation ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - en ligne, Jan. 10-15, 2021) p. 2795-2802. Institute of Electrical and Electronics Engineers Inc..

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2020. « F-measure curves: A tool to visualize classifier performance under imbalance ». Pattern Recognition. vol. 100 19 p.

Sevegni Odilon Clement Allognon, Alceu S. De Britto, Alessandro Lameiras Koerich. 2020. « Continuous emotion recognition via deep convolutional autoencoder and support vector regressor ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Institute of Electrical and Electronics Engineers Inc..

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich. 2020. « Detection of adversarial attacks and characterization of adversarial subspace ». IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, Spain, May 04-08, 2020) p. 3097-3101. Piscataway, NJ, USA : IEEE.

Alexandre R. Mello, Marcelo R. Stemmer, Alessandro L. Koerich. 2020. « Incremental and decremental fuzzy bounded twin support vector machine ». Information Sciences. vol. 526 p. 20-38.

Karl Michel Koerich, Mohammad Esmailpour, Sajjad Abdoli, Alceu De S. Britto, Alessandro Lameiras Koerich. 2020. « Cross-representation transferability of adversarial attacks: From spectrograms to audio waveforms ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) IEEE.

Steve Tsham Mpinda Ataky, Jonathan De Matos, Alceu De S. Britto, Luiz E. S. Oliveira, Alessandro L. Koerich. 2020. « Data augmentation for histopathological images based on gaussian-laplacian pyramid blending ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) Institute of Electrical and Electronics Engineers Inc..

Thiago M. Paixao, Rodrigo F. Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos. 2020. « Fast(er) reconstruction of shredded text documents via self-supervised deep asymmetric metric learning ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (En ligne, June 13-19, 2020) p. 14331-14339. IEEE Computer Society.

Thiago M. Paixão, Rodrigo F. Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos. 2020. « Self-supervised deep reconstruction of mixed strip-shredded text documents ». Pattern Recognition. vol. 107 11 p.

Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti. 2020. « DESlib: A dynamic ensemble selection library in python ». Journal of Machine Learning Research. vol. 21 5 p.

Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz. 2020. « Multi-label learning for dynamic model type recommendation ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) IEEE.

Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2020. « A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification ». Expert Systems with Applications. vol. 154 15 p.

Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2020. « Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control ». Genetic and Evolutionary Computation Conference (GECCO) (Cancun, Mexico, July 08-12, 2020) p. 69-70. Association for Computing Machinery Inc.

Quentin Boyadjian, Nicolas Vanderesse, Matthew Toews, Philippe Bocher. 2020. « Detecting defects in materials using deep convolutional neural networks ». Image Analysis and Recognition : 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I (Póvoa de Varzim, Portugal, June 24-26, 2020) p. 293-306. Springer.

Sarah Frisken, Ma Luo, Parikshit Juvekar, Adomas Bunevicius, Ines Machado, Prashin Unadkat, Melina M. Bertotti, Matt Toews, William M. Wells, Michael I. Miga, Alexandra J. Golby. 2020. « A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection ». International Journal of Computer Assisted Radiology and Surgery. vol. 15 , nº 1. p. 75-85.

Étienne Pepin, Jean-Baptiste Carluer, Laurent Chauvin, Matthew Toews, Rola Harmouche. 2020. « Large-Scale unbiased neuroimage indexing via 3D GPU-SIFT filtering and keypoint masking ». Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology. Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020. Held in Conjunction with MICCAI 2020, 4-8 Oct. 2020 (Lima, Peru, Oct. 04-08, 2020) p. 108-118. Cham, Switzerland : Springer International Publishing.

Christian Wachinger, Matthew Toews, Georg Langs, William Wells, Polina Golland. 2020. « Keypoint transfer for fast whole-body segmentation ». IEEE Transactions on Medical Imaging. vol. 39 , nº 2. p. 273-282.

David Communier, Ruxandra Mihaela Botez, Tony Wong. 2020. « Design and validation of a new morphing camber system by testing in the price-païdoussis subsonic wind tunnel ». Aerospace. vol. 7 , nº 3. 22 p.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2019. « Constrained domain adaptation for segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019) p. 326-334. Springer.

Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2019. « Tutorial : Weakly supervised CNN segmentation: Models and optimization ». Communication lors de la conférence : Medical Image Computing and Computer Assisted Intervention (MICCAI) ( Shenzen, China, Oct. 13-17, 2019 )

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2019. « Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities ». Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I (Granada, Spain, Sept. 16, 2018) p. 271-282. Cham, Switzerland : Springer.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2019. « IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet ». Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers (Granada, Spain, Sept. 16, 2018) p. 130-143. Springer Verlag.

Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed. 2019. « HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ». IEEE Transactions on Medical Imaging. vol. 38 , nº 5. p. 1116-1126.

Adrian Galdran, Hadi Chakor, Abdulaziz Abdulaziz, Ryad Kobbi, Argyrios Christodoulidis, Jihed Chelbi, Marc-André Racine, Ismail Ben Ayed. 2019. « Automatic classification and triage of diabetic retinopathy from retinal images based on a convolutional neural networks (CNN) method ». Acta Ophthalmologica. vol. 97 p. 2.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed. 2019. « Boundary loss for highly unbalanced segmentation ». Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR) (London, England, July 08-10, 2019) p. 285-296. PMLR.

Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed. 2019. « Curriculum semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct 13-17, 2019) p. 568-576. Springer.

Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2019. « Constrained-CNN losses for weakly supervised segmentation ». Medical Image Analysis. vol. 54 p. 88-99.

Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov. 2019. « Beyond gradient descent for regularized segmentation losses ». 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019) p. 10179-10188. IEEE.

Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Y. Boykov. 2019. « Kernel clustering: density biases and solutions ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 41 , nº 1. p. 136-147.

Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger. 2019. « Decoupling direction and norm for efficient gradient-based L2 adversarial attacks and defenses ». 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019) p. 4317-4325. IEEE.

Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov. 2019. « Kernel cuts: Kernel and spectral clustering meet regularization ». International Journal of Computer Vision. vol. 127 , nº 5. p. 477-511.

Li Wang, Dong Nie, Li Guannan, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen. 2019. « Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ». IEEE Transactions on Medical Imaging. vol. 38 , nº 9. p. 2219-2230.

Xiaopan Xu, Xi Zhang, Qian Tian, Huanjun Wang, Long-Biao Cui, Shurong Li, Xing Tang, Baojun Li, Jose Dolz, Ismail Ben Ayed, Zhengrong Liang, Jing Yuan, Peng Du, Hongbing Lu, Yang Liu. 2019. « Quantitative identification of nonmuscle-invasive and muscle-invasive bladder carcinomas: a multiparametric MRI radiomics analysis ». Journal of Magnetic Resonance Imaging. vol. 49 , nº 5. p. 1489-1498.

Sajjad Abdoli, Patrick Cardinal, Alessandro Lameiras Koerich. 2019. « End-to-end environmental sound classification using a 1D convolutional neural network ». Expert Systems with Applications. vol. 136 p. 252-263.

Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger. 2019. « Emotion recognition with spatial attention and temporal softmax pooling ». Image Analysis and Recognition : 16th International Conference, ICIAR : Proceedings (Waterloo, ON, Canada, Aug. 27-29, 2019) p. 323-331. Cham, Switzerland : Springer International Publishing.

Rachel Bouserhal, Milton Sarria-Paja, Patrick Cardinal, Jérémie Voix. 2019. « Classification of nonverbal human produced audio events: a pilot study ». Communication lors de la conférence : National Hearing Conservation Association Annual Conference 2019 ( Grapevine, TX, USA, Feb. 07-09, 2019 )

Marc J. Lanovaz, Patrick Cardinal, Mary Francis. 2019. « Using a visual structured criterion for the analysis of alternating-treatment designs ». Behavior Modification. vol. 43 , nº 1. p. 115-131.

Marc J. Lanovaz, Stéphanie Turgeon, Patrick Cardinal, Tara L. Wheatley. 2019. « Using single-case designs in practical settings: Is within-subject replication always necessary? ». Perspectives on Behavior Science. vol. 42 , nº 1. p. 153-162.

Juan D. S. Ortega, Patrick Cardinal, Alessandro L. Koerich. 2019. « Emotion recognition using fusion of audio and video features ». IEEE International Conference on Systems, Man and Cybernetics (SMC) (Bari, Italy, Oct. 06-09, 2019) p. 3847-3852. Institute of Electrical and Electronics Engineers Inc..

Fodil Belghait, Alain April, Pavel Hamet, Johanne Tremblay, Christian Desrosiers. 2019. « A large-scale and extensible platform for precision medicine research ». 9th International Conference on Digital Public Health (DPH) (Marseille, France, Nov. 20-23, 2019) p. 47-54. Association for Computing Machinery.

Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim. 2019. « Novel radiomic features based on joint intensity matrices for predicting glioblastoma patient survival time ». IEEE Journal of Biomedical and Health Informatics. vol. 23 , nº 2. p. 795-804.

Ahmad Chaddad, Paul Daniel, Siham Sabri, Christian Desrosiers, Bassam Abdulkarim. 2019. « Integration of radiomic and multi-omic analyses predicts survival of newly diagnosed IDH1 wild-type glioblastoma ». Cancers. vol. 11 , nº 8. 16 p.

Ahmad Chaddad, Christian Desrosiers, Bassam Abdulkarim, Tamim Niazi. 2019. « Predicting the gene status and survival outcome of lower grade glioma patients with multimodal MRI features ». IEEE Access. vol. 7 p. 75976-75984.

Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi. 2019. « Deep radiomic analysis based on modeling information flow in convolutional neural networks ». IEEE Access. vol. 7 p. 97242-97252.

Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques De Guise, William Wells, Matthew Toews. 2019. « Analyzing brain morphology on the bag-of-features manifold ». Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019) p. 45-56. Springer Verlag.

Jing Dong Cheng, Qiu Le Sun, Jian Xin Zhang, Christian Desrosiers, Bin Liu, Jian Lu, Qiang Zhang. 2019. « Deep high-order supervised hashing ». Optik. vol. 180 p. 847-857.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2019. « Adaptive graph convolution pooling for brain surface analysis ». Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019) p. 86-98. Springer Verlag.

Karthik Gopinath, Christian Desrosiers, Herve Lombaert. 2019. « Graph convolutions on spectral embeddings for cortical surface parcellation ». Medical Image Analysis. vol. 54 p. 297-305.

Kuldeep Kumar, Kaleem Siddiqi, Christian Desrosiers. 2019. « White matter fiber analysis using kernel dictionary learning and sparsity priors ». Pattern Recognition. vol. 95 p. 83-95.

Mohamed Mhiri, Christian Desrosiers, Mohamed Cheriet. 2019. « Word spotting and recognition via a joint deep embedding of image and text ». Pattern Recognition. vol. 88 p. 312-320.

Nicolas Tremblay, Kaveh Kamali, Philippe Cardou, Christian Desrosiers, Marc Gouttefarde, Martin J.-D. Otis. 2019. « Eye-on-hand calibration method for cable-driven parallel robots ». Cable-Driven Parallel Robots: 4th International Conference on Cable-Driven Parallel Robots (Krakow, Poland, June 30-July 04, 2019) p. 345-356. Springer Netherlands.

Mingli Zhang, Christian Desrosiers. 2019. « High-quality image restoration using low-rank patch regularization and global structure sparsity ». IEEE Transactions on Image Processing. vol. 28 , nº 2. p. 868-879.

Iñigo Iturrate, Etienne Roberge, Esben Hallundbæk Østergaard, Vincent Duchaine, Thiusius Rajeeth Savarimuthu. 2019. « Improving the generalizability of robot assembly tasks learned from demonstration via CNN-based segmentation ». IEEE 15th International Conference on Automation Science and Engineering (CASE) (Vancouver, BC, Canada, Aug. 22-26, 2019) p. 553-560. Piscataway, NJ, USA : IEEE.

Jennifer Kwiatkowski, Jean-Simon Lavertu, Chloé Gourrat, Vincent Duchaine. 2019. « Determining object properties from tactile events during grasp failure ». IEEE 15th International Conference on Automation Science and Engineering (CASE) (Vancouver, BC, Canada, Aug. 22-26, 2019) p. 1692-1698. Piscataway, NJ, USA : IEEE.

Fiona C. Baker, Mohamad Forouzanfar, Aimée M. Goldstone, Stephanie A Claudatos, Harold Javitz, John Trinder, Massimiliano de Zambotti. 2019. « 0684 Impact of hot flash-associated sleep disruption on the cardiovascular system in perimenopausal women ». Sleep. vol. 42 , nº Suppl. 1. p. A274.

Fiona C. Baker, Mohamad Forouzanfar, Aimée Goldstone, Stephanie A. Claudatos, Harold Javitz, John Trinder, Massimiliano de Zambotti. 2019. « Changes in heart rate and blood pressure during nocturnal hot flashes associated with and without awakenings ». Sleep. vol. 42 , nº 11. 13 p.

Massimiliano de Zambotti, Ellen Smith, Aimee Goldstone, Mohamad Forouzanfar, Stephanie Claudatos, Maureen Gil, Vanessa Alschuler, Yun Qi Lim, Leonardo Rosas, Devin Prouty, Lena Kardos, Ian Colrain, Fiona Baker. 2019. « 0137 The falling asleep process in adolescents ». Sleep. vol. 42 , nº Suppl. 1. p. A56.

Mohamad Forouzanfar, Fiona C. Baker, Ian M. Colrain, Massimiliano de Zambotti. 2019. « Automatic artifact detection in impedance cardiogram using pulse similarity index ». 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Berlin, Allemagne, July 23-27, 2019) p. 2629-2632. IEEE.

Mohamad Forouzanfar, Fiona C. Baker, Ian M. Colrain, Massimiliano de Zambotti. 2019. « Electroencephalographic slow-wave activity during sleep in different phases of blood pressure and respiration oscillations ». 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Berlin, Allemagne, July 23-27, 2019) p. 2564-2567. IEEE.

Mohamad Forouzanfar, Fiona C. Baker, Ian M. Colrain, Aimée Goldstone, Massimiliano de Zambotti. 2019. « Automatic analysis of pre-ejection period during sleep using impedance cardiogram ». Psychophysiology. vol. 56 , nº 7.

Dilara Yüksel, Ellen Smith, Yun Qi Lim, Aimee Goldstone, Stephanie Claudatos, Mohamad Forouzanfar, Vanessa Alschuler, Maureen Gil, Ian M. Colrain, Devin Prouty, Massimiliano de Zambotti, Fiona Baker. 2019. « 0112 First night effect on sleep and heart rate in adolescent boys and girls: Findings from the NCANDA study ». Sleep. vol. 42 , nº Suppl. 1. p. A46.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Mostafa Parchami. 2019. « Deep learning architectures for face recognition in video surveillance ». In Deep learning in object detection and recognition . p. 133-154. Springer.

Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon. 2019. « Bag-level aggregation for multiple-instance active learning in instance classification problems ». IEEE Transactions on Neural Networks and Learning Systems. vol. 30 , nº 5. p. 1441-1451.

Francis Charette Migneault, Eric Granger, Fania Mokhayeri. 2019. « Using adaptive trackers for video face recognition from a single sample per person ». 8th International Conference on Image Processing Theory, Tools and Applications (IPTA 2018) - Proceedings (Xi'an, China, Nov. 7-10, 2018) Institute of Electrical and Electronics Engineers Inc..

Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid. 2019. « Combining global and local convolutional 3D networks for detecting depression from facial expressions ». 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG): Proceedings (Lille, France, May 14-18, 2019) Institute of Electrical and Electronics Engineers Inc..

Wheidima Carneiro De Melo, Eric Granger, Abdenour Hadid. 2019. « Depression detection based on deep distribution learning ». 26th IEEE International Conference on Image Processing (ICIP) (Taipei, Taiwan, Sept. 22-25, 2019) p. 4544-4548. Taipei, Taiwan : IEEE Computer Society.

Frank M. Hafner, Amran Bhuiyan, Julian F. P. Kooij, Eric Granger. 2019. « RGB-depth cross-modal person re-identification ». 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019) Piscataway, NJ, USA : IEEE.

Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine, Louis-Antoine Blais Morin, Eric Granger. 2019. « On the interaction between deep detectors and siamese trackers in video surveillance ». 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019) Piscataway, NJ, USA : IEEE.

Fania Mokhayeri, Eric Granger. 2019. « Robust video face recognition from a single still using a synthetic plus variational model ». 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) (Lille, France, May 14-18, 2019) Piscataway, NJ, USA : IEEE.

Fania Mokhayeri, Eric Granger, Guillaume-Alexandre Bilodeau. 2019. « Domain-specific face synthesis for video face recognition from a single sample per person ». IEEE Transactions on Information Forensics and Security. vol. 14 , nº 3. p. 757-772.

Wu Xiaoting, Éric Granger, Tomi H. Kinnunen, Feng Xiaoyi, Abdenour Hadid. 2019. « Audio-visual kinship verification in the wild ». International Conference on Biometrics (ICB) (Crete, Greece, June 04-07, 2019) Piscataway, NJ, USA : IEEE.

Jonathan de Matos, Alceu de S. Britto Jr, Luiz E. S. de Oliveira, Alessandro L. Koerich. 2019. « Texture CNN for histopathological image classification ». IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) (Cordoba, Spain, June 05-07, 2019) p. 580-583. Los Alamitos, CA, USA : IEEE Computer Society.

Jonathan de Matos, Alceu Jr. de S. Britto, Luiz E. S. Oliveira, Alessandro L. Koerich. 2019. « Double transfer learning for breast cancer histopathologic image classification ». International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019) Piscataway, NJ, USA : IEEE.

D. C. Tannugi, A. S. Britto, A. L. Koerich. 2019. « Memory integrity of CNNs for cross-dataset facial expression recognition ». Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (Bari, Italy, Oct. 06-09, 2019) p. 3826-3831. Institute of Electrical and Electronics Engineers Inc..

Daniel Vriesman, Alceu S. Britto, Alessandro Zimmer, Alessandro L. Koerich, Rodrigo Paludo. 2019. « Automatic visual inspection of thermoelectric metal pipes ». Signal, Image and Video Processing. vol. 13 , nº 5. p. 975-983.

Daniel Vriesman, Alceu S. Britto, Alessandro Zimmer, Alessandro Lameiras Koerich. 2019. « Texture CNN for thermoelectric metal pipe image classification ». IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Los Alamitos, CA, USA, Nov. 04-06, 2019) p. 569-574. IEEE Computer Society.

K. L. Wiggers, A. S. Britto, L. Heutte, A. L. Koerich, L. S. Oliveira. 2019. « Image retrieval and pattern spotting using siamese neural network ». Proceedings of the International Joint Conference on Neural Networks (Budapest, Hungary, July 14-19, 2019) Institute of Electrical and Electronics Engineers Inc..

Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin. 2019. « FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection ». Pattern Recognition. vol. 85 p. 149-160.

Rafael M. O. Cruz, Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti. 2019. « Dynamic ensemble selection and data preprocessing for multi-class imbalance learning ». International Journal of Pattern Recognition and Artificial Intelligence. vol. 33 , nº 11.

Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin. 2019. « On evaluating the online local pool generation method for imbalance learning ». International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019) Piscataway, NJ, USA : IEEE.

Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin. 2019. « Online local pool generation for dynamic classifier selection ». Pattern Recognition. vol. 85 p. 132-148.

Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2019. « Characterization of handwritten signature images in dissimilarity representation space ». Computational Science : ICCS 2019 : 19th International Conference : Proceedings, Part III (Faro, Portugal, June 12-14, 2019) p. 192-206. Springer Verlag.

Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2019. « On dissimilarity representation and transfer learning for offline handwritten signature verification ». International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019) Piscataway, NJ, USA : IEEE.

Sherif Abuelwafa, Marco Pedersoli, Mohamed Cheriet. 2019. « Unsupervised exemplar-based learning for improved document image classification ». IEEE Access. vol. 7 p. 133738-133748.

S. Frisken, M. Luo, I. MacHado, P. Unadkat, P. Juvekar, A. Bunevicius, M. Toews, W. M. Wells, M. I. Miga, A. J. Golby. 2019. « Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound ». Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling (San Diego, CA, USA, Feb. 17-19, 2019) SPIE.

Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra Golby, Masashi Sugiyama, William M. Wells, Sarah Frisken. 2019. « On the applicability of registration uncertainty ». Medical Image Computing and Computer Assisted Intervention - MICCAI 2019. 22nd International Conference : Proceedings (Shenzhen, China, Oct. 13-17, 2019) p. 410-419. Cham, Switzerland : Springer International Publishing.

Inês Machado, Matthew Toews, Elizabeth George, Prashin Unadkat, Walid Essayed, Jie Luo, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah Frisken, Alexandra Golby, William Wells III, Yangming Ou. 2019. « Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: accuracy and generality in multi-site data ». NeuroImage. vol. 202 19 p.

D. Communier, R. M. Botez, T. Wong. 2019. « Experimental validation of a new morphing trailing edge system using Price – Païdoussis wind tunnel tests ». Chinese Journal of Aeronautics. vol. 32 , nº 6. p. 1353-1366.

David Communier, Franck Le Besnerais, Ruxandra Mihaela Botez, Tony Wong. 2019. « Design, manufacturing, and testing of a new concept for a morphing leading edge using a subsonic blow down wind tunnel ». Biomimetics. vol. 4 , nº 4.

Mahdi Zaag, Ruxandra Mihaela Botez, Tony Wong. 2019. « CESSNA citation X engine model identification using neural networks and extended great deluge algorithms ». INCAS Bulletin. vol. 11 , nº 2. p. 195-207.

Ismail Ben Ayed, Dmitry Pavlov, Kumaradevan Punithakumar, Seyed-Parsa Hojjat, Gregory Garvin. 2018-02-06. « Methods and apparatus to label radiology images ».

Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Deana Crocetti, Bennett A. Landman, Stewart H. Mostofsky, Paul M. Thompson, Jerry L. Prince. 2018. « Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ». NeuroImage. vol. 183 p. 150-172.

Jose Dolz, Ismail Ben Ayed, Yuan Jing, Christian Desrosiers. 2018. « Isointense infant brain segmentation with a hyper-dense connected convolutional neural network ». IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Washington, DC, USA, Apr. 04-07, 2018) p. 616-620. Piscataway, NJ, USA : IEEE.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2018. « 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ». NeuroImage. vol. 170 15 p. p. 456-470.

Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Éric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu. 2018. « Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ». Medical Physics. vol. 45 , nº 12. p. 5482-5493.

Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2018. « Constrained-CNN losses for weakly supervised segmentation ». 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018)

Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov. 2018. « On regularized losses for weakly-supervised CNN segmentation ». Computer Vision – ECCV 2018 : 15th European Conference : Proceedings (Munich, Germany, Sept. 08-14, 2018) p. 524-540. Springer.

Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed. 2018. « Scalable Laplacian K-modes ». 32nd Conference on Neural Information Processing Systems (NIPS) (Montreal, QC, Canada, Dec. 02-08, 2018) p. 10041-10051. La Jolla : Neural Information Processing Systems (NIPS).

Rachel E. Bouserhal, Philippe Chabot, Milton Sarria-Paja, Patrick Cardinal, Jérémie Voix. 2018. « Classification of nonverbal human produced audio events: A pilot study ». 19th Annual Conference of the International Speech Communication (INTERSPEECH 2018) (Hyderabad, India, Sept. 02-06, 2018) p. 1512-1516. International Speech Communication Association.

Rachel Bouserhal, Milton Sarria-Paja, Patrick Cardinal, Jérémie Voix. 2018. « Classification of nonverbal human produced audio events: a pilot study ». Communication lors de la conférence : Workshop on machine hearing and learning ( Montreal, QC, Canada, Sept. 21, 2018 )

Ahmad Chaddad, Christian Desrosiers, Tamim Niazi. 2018. « Deep radiomic analysis of MRI related to Alzheimer's disease ». IEEE Access. vol. 6 p. 58213-58221.

Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, Jacques de Guise, Matthew Toews. 2018. « Diffusion Orientation Histograms (DOH) for diffusion weighted image analysis ». Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Montreal, QC, Canada, Sept. 10, 2017) p. 91-99. Springer International Publishing.

Kuldeep Kumar, Laurent Chauvin, Matthew Toews, Olivier Colliot, Christian Desrosiers. 2018. « Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI ». Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Québec, QC, Canada, 10 sept. 2017) p. 219-228. Springer International Publishing.

Kuldeep Kumar, Matthew Toews, Laurent Chauvin, Olivier Colliot, Christian Desrosiers. 2018. « Multi-modal brain fingerprinting: A manifold approximation based framework ». NeuroImage. vol. 183 p. 212-226.

Prasun Lala, Félix Langevin Harnois, Ghizlaine El Boussaidi, Christian Desrosiers, Catherine Laporte. 2018. « Providing sustainable scientific writing support for graduate engineering students by creating a local scientific learning community ». 2018 ASEE Annual Conference & Exposition (Salt Lake City, UT, USA, June 24-27, 2018) American Society for Engineering Education.

Prasun Lala, Félix Langevin Harnois, Ghizlaine El Boussaidi, Christian Desrosiers, Catherine Laporte. 2018. « Providing sustainable scientific writing support for graduate engineering students by creating a local scientific learning community ». Communication lors de la conférence : 2018 ASEE Annual Conference & Exposition ( Salt Lake City, UT, USA, June 24-27, 2018 )

Félix Langevin Harnois, Jerome Harrison, Prasun Lala, Ghizlaine El Boussaidi, Christian Desrosiers, Catherine Laporte. 2018. « Promoting good scientific communication habits by leveraging the community of practice within a single research group ». Communication lors de la conférence : 2018 ASEE Annual Conference & Exposition ( Salt Lake City, UT, USA, June 24-27, 2018 )

Félix Langevin Harnois, Jerome Harrison, Prasun Lala, Ghizlaine El Boussaidi, Christian Desrosiers, Catherine Laporte. 2018. « Promoting good scientific communication habits by leveraging the community of practice within a single research group ». 2018 ASEE Annual Conference & Exposition (Salt Lake City, UT, USA, June 24-27, 2018) American Society for Engineering Education.

Mohamed Mhiri, Sherif Abuelwafa, Christian Desrosiers, Mohamed Cheriet. 2018. « Hierarchical representation learning using spherical k-means for segmentation-free word spotting ». Pattern Recognition Letters. vol. 101 p. 52-59.

Mohamed Mhiri, Christian Desrosiers, Mohamed Cheriet. 2018. « Convolutional pyramid of bidirectional character sequences for the recognition of handwritten words ». Pattern Recognition Letters. vol. 111 p. 87-93.

Zhang Mingli, Christian Desrosiers, Guo Yuhong, Zhang Caiming, Budhachandra Khundrakpam, Alan Evans. 2018. « Brain status prediction with non-negative projective dictionary learning ». Machine Learning in Medical Imaging. 9th International Workshop (MLMI 2018) held in conjunction with MICCAI 2018, 16 Sept. 2018 (Granada, Spain, Sept. 16, 2018) p. 152-160. Cham, Switzerland : Springer International Publishing.

Jizong Peng, Christian Desrosiers, Marco Pedersoli. 2018. « DC-SegNet: a discretely constrained deep network for weakly supervised segmentation ». 32nd Conference on Neural Information Processing Systems (NIPS 2018) - Medical Imaging Meets NIPS Workshop (MED-NEURIPS 2018) (Montreal, QC, Canada, Dec. 08, 2018)

Luc Normand Trudeau, Stephane Coulombe, Christian Desrosiers. 2018-06-26. « Method and system for rate-constrained search ordering ».

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2018. « Cost-based search ordering for rate-constrained motion estimation applied to HEVC ». IEEE Transactions on Broadcasting. vol. 64 , nº 4. p. 922-932.

Mingli Zhang, Christian Desrosiers. 2018. « Structure preserving image denoising based on low-rank reconstruction and gradient histograms ». Computer Vision and Image Understanding. vol. 171 p. 48-60.

Mingli Zhang, Christian Desrosiers, Caiming Zhang. 2018. « Atlas-based reconstruction of high performance brain MR data ». Pattern Recognition. vol. 76 p. 549-559.

Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli. 2018. « An attention model for group-level emotion recognition ». 20th ACM International Conference on Multimodal Interaction (ICIM '18) (Boulder, CO, USA, Oct. 16-20, 2018) p. 611-615. ACM.

Jean-Baptiste Chossat, Alexis Maslyczyk, Jean-Simon Lavertu, Vincent Duchaine. 2018. « The programmable permanent magnet actuator: A paradigm shift in efficiency for low-speed torque-holding robotic applications ». IEEE Robotics and Automation Letters. vol. 3 , nº 3. p. 1751-1758.

Jennifer Kwiatkowski, Jean-Philippe Roberge, Nicholas A. Nadeau, Louis L'Écuyer-Lapierre, Vincent Duchaine. 2018. « An extrinsic dexterity approach to the IROS 2018 fan robotic challenge ». 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Madrid, Spain, Oct. 1-5, 2018) p. 4139-4144. Piscataway, NJ, USA : IEEE.

Jean-Philippe Roberge, Wilson Ruotolo, Vincent Duchaine, Mark Cutkosky. 2018. « Improving industrial grippers with adhesion-controlled friction ». IEEE Robotics and Automation Letters. vol. 3 , nº 2. p. 1041-1048.

M. Colrain, A. Goldstone, M. Forouzanfar, F. C. Baker, S. Claudatos, M. Gil, V. Alschuler, Y. Q. Lim, L. Rosas, D. Prouty, M. de Zambotti. 2018. « Effect of evening alcohol intake on nocturnal cardiovascular function in normal adults ». Alcoholism: Clinical and Experimental Research. vol. 42 , nº suppl. 1.

Mohamad Forouzanfar, Fiona C. Baker, Massimiliano de Zambotti, Corey McCall, Laurent Giovangrandi, Gregory T. A. Kovacs. 2018. « Toward a better noninvasive assessment of preejection period: A novel automatic algorithm for B-point detection and correction on thoracic impedance cardiogram ». Psychophysiology. vol. 55 , nº 8.

Mohamad Forouzanfar, Massimiliano de Zambotti, Aimée Goldstone, Fiona C. Baker. 2018. « Automatic detection of hot flash occurrence and timing from skin conductance activity ». 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Honolulu, HI, USA, July 18-21, 2018) p. 1090-1093. IEEE.

Ibtihel Amara, Eric Granger, Abdenour Hadid. 2018. « Contextual weighting of patches for local matching in still-to-video face recognition ». 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018) (Xi'an, China, May 15-19, 2018) p. 756-763. Los Alamitos, CA, USA : IEEE Computer Society.

Marc-André Carbonneau, Veronika Cheplygina, Eric Granger, Ghyslain Gagnon. 2018. « Multiple instance learning: A survey of problem characteristics and applications ». Pattern Recognition. vol. 77 p. 329-353.

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger. 2018. « Tracking using numerous anchor points ». Machine Vision and Applications. vol. 29 , nº 2. 15 p. p. 247-261.

Jérôme Rony, Luiz Gustavo, Robert Sabourin, Eric Granger. 2018. « Decoupling direction and norm for efficient gradient-based l2 adversarial attacks ». NeurIPS 2018 Workshop on Security in Machine Learning (Montreal, QC, Canada, Dec. 7, 2018)

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2018. « F-Measure curves for visualizing classifier performance with imbalanced data ». Artificial Neural Networks in Pattern Recognition : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings (Siena, Italy, Sept. 19-21, 2018) p. 165-177. Springer.

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2018. « Progressive boosting for class imbalance and its application to face re-identification ». Expert Systems with Applications. vol. 10 21 p. p. 271-291.

Voncarlos M. Araújo, Alceu S. Jr. Britto, André L. Brun, Luiz E. S. Oliveira, Alessandro L. Koerich. 2018. « Fine-grained hierarchical classification of plant leaf images using fusion of deep models ». IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) (Volos, Greece, Nov. 5-7, 2018) p. 1-5. IEEE Computer Society.

Kelly L. Wiggers, Alceu S. Britto, Laurent Heutte, Alessandro L. Koerich, Luiz Eduardo S. Oliveira. 2018. « Document image retrieval using deep features ». 2018 International Joint Conference on Neural Networks (IJCNN 2018) (Rio de Janeiro, Brazil, July 08-13, 2018) Piscataway, NJ, USA : IEEE.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2018. « Dynamic classifier selection: Recent advances and perspectives ». Information Fusion. vol. 41 p. 195-216.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2018. « Prototype selection for dynamic classifier and ensemble selection ». Neural Computing and Applications. vol. 29 , nº 2. 11 p. p. 447-457.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2018. « On dynamic ensemble selection and data preprocessing for multi-class imbalance learning ». Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI'2018) (Montréal, QC, Canada, May 13-17, 2018) p. 189-194. CENPARMI, Concordia University.

D. V. R. Oliveira, G. D. C. Cavalcanti, T. N. Porpino, R. M. O. Cruz, R. Sabourin. 2018. « K-Nearest oracles borderline dynamic classifier ensemble selection ». 2018 International Joint Conference on Neural Networks (IJCNN 2018) (Rio de Janeiro, Brazil, July 08-13, 2018) IEEE.

Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2018. « A study on combining dynamic selection and data preprocessing for imbalance learning ». Neurocomputing. vol. 286 p. 179-192.

Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2018. « An ensemble generation method based on instance hardness ». 2018 International Joint Conference on Neural Networks (IJCNN) (Rio de Janeiro, Brazil, July 08-13, 2018) Piscataway, NJ, USA : IEEE.

Florent Langenfeld, Apostolos Axenopoulos, Anargyros Chatzitofis, Daniela Craciun, Petros Daras, Bowen Du, Andrea Giachetti, Yu-Kun Lai, Haisheng Li, Yingbin Li, Majid Masoumi, Yuxu Peng, Paul L. Rosin, Jeremy Sirugue, Li Sun, Spyridon Thermos, Matthew Toews, Yang Wei, Yujuan Wu, Yujia Zhai, Tianyu Zhao, Yanping Zheng, Matthieu Montes. 2018. « SHREC 2018 - Protein shape retrieval ». 11th Eurographics Workshop on 3D Object Retrieval (3DOR) (Delft, Netherlands, Apr. 16, 2018) p. 53-61. Eurographics Association.

Jie Luo, Sarah Frisken, Ines Machado, Mlaomlao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashln Unadkat, Alireza Sedghi, Haoyln Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chleh Cheng, Alexandra Golby, Masashi Sugiyama, William M. III Wells. 2018. « Using the variogram for vector outlier screening: application to feature-based image registration ». International Journal of Computer Assisted Radiology and Surgery. vol. 13 , nº 12. p. 1871-1880.

Jie Luo, Matthew Toews, Ines Machado, Sarah Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra Golby, Masashi Sugiyama, William M. Wells Iii. 2018. « A feature-driven active framework for ultrasound-based brain shift compensation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 : 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV (Granada, Spain, Sept. 16-20, 2018) p. 30-38. Springer.

Inês Machado, Matthew Toews, Jie Luo, Pashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah Frisken, Alexandra Golby, William III Wells. 2018. « Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching ». International Journal of Computer Assisted Radiology and Surgery. vol. 13 , nº 10. p. 1525-1538.

Ines Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah Frisken, Alexandra Golby, William Wells, Yangming Ou. 2018. « Deformable MRI-ultrasound registration via attribute matching and mutual-saliency weighting for image-guided neurosurgery ». Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation : International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceed (Granada, Spain, Sept. 16-20, 2018) p. 165-171. Springer Verlag.

Matthew Toews, M. William Wells. 2018. « Phantomless auto-calibration and online calibration assessment for a tracked freehand 2-D ultrasound probe ». IEEE Transactions on Medical Imaging. vol. 37 , nº 1. p. 262-272.

Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max Law, Ali Islam, Aashish Goela, Terry Peters, Shuo Li. 2017-08-29. « Automating Cardiac Disease Detection ». Substance ÉTS. vol.

Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max Law, Ali Islam, Aashish Goela, Terry Peters, Shuo Li. 2017-08-29. « Automatiser le dépistage des maladies cardiaques ». Substance ÉTS. vol.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017. « DOPE: distributed optimization for pairwise energies ». IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Honolulu, HI, USA, July 21-26, 2017) p. 4095-4104. IEEE Computer Society.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017. « Unbiased shape compactness for segmentation ». Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I (Quebec City, QC, Canada, Sept. 11-13, 2017) p. 755-763. Springer Verlag.

Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2017. « Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ». Medical Physics. vol. 44 , nº 12. p. 6341-6352.

Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong. 2017. « Local submodularization for binary pairwise energies ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 39 , nº 10. p. 1985-1999.

Seyed-Parsa Hojjat, Ismail Ayed, Gregory J. Garvin, Kumaradevan Punithakumar. 2017. « Spine labeling in MRI via regularized distribution matching ». International Journal of Computer Assisted Radiology and Surgery. vol. 12 , nº 11. 12 p. p. 1911-1922.

Byong jun Hwang, Jinchang Ren, Samuel McCormack, Craig Berry, Ismail Ben Ayed, Hans C. Graber, Erchan Aptoula. 2017. « A practical algorithm for the retrieval of floe size distribution of Arctic sea ice from high-resolution satellite Synthetic Aperture Radar imagery ». Elementa : Science of Anthropocene. vol. 38 , nº 5. 23 p.

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed. 2017. « Regularised differentiation for image derivatives ». IET Image Processing. vol. 11 , nº 5. p. 310-316.

I. Verduyckt, P. Cardinal, A. Loubnani, A. Alpan. 2017. « MyOrtho – A vocal coach application with visual feed-back for monitoring and storing of patient progress in a home environment ». 10th International Workshop Models and Analysis of Vocal Emissions for Biomedical Applications (Firenze, Italy, Dec. 13-15, 2017) p. 31-34. Firenze University Press.

Eya Barkallah, Johan Freulard, Martin J. D. Otis, Suzy Ngomo, Johannes C. Ayena, Christian Desrosiers. 2017. « Wearable devices for classification of inadequate posture at work using neural networks ». Sensors. vol. 17 , nº 9.

Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Camel Tanougast. 2017. « Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder ». BMC Neuroscience. vol. 18 , nº 1. p. 52.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2017. « Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age ». Scientific Reports. vol. 7

Ahmad Chaddad, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim. 2017. « Predicting survival time of lung cancer patients using radiomic analysis ». Oncotarget. vol. 8 , nº 61. p. 104393-104407.

Hawraa Haj-Hassan, Ahmad Chaddad, Youssef Harkouss, Christian Desrosiers, Matthew Toews, Camel Tanougast. 2017. « Classifications of multispectral colorectal cancer tissues using convolution neural network ». Journal of Pathology Informatics. vol. 8 , nº 1. 7 p.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017. « Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis ». NeuroImage. vol. 158 p. 242-259.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017-11-14. « Fiberprint: Human Brain Wiring Shows Unique Fingerprint ». Substance ÉTS. vol.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews. 2017-11-14. « L’empreinte cérébrale : une image des connexions du cerveau ». Substance ÉTS. vol.

Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers. 2017. « White matter fiber segmentation using functional varifolds ». Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec (Québec, QC, Canada, Sept. 10-14, 2017) p. 92-100. Springer.

Faten M’hiri, Luc Duong, Christian Desrosiers, Nagib Dahdah, Joaquim Miró, Mohamed Cheriet. 2017. « Automatic evaluation of vessel diameter variation from 2D X-ray angiography ». International Journal of Computer Assisted Radiology and Surgery. vol. 12 , nº 11. p. 1867-1876.

Mohamed Mhiri, Sherif Abuelwafa, Christian Desrosiers, Mohamed Cheriet. 2017. « Footnote-based document image classification using 1D convolutional neural networks and histograms ». Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Montreal, QC, Canada, Nov. 28 - Dec. 01, 2017) Piscataway, NJ, USA : IEEE.

Mohamed Mhiri, Mohamed Cheriet, Christian Desrosiers. 2017. « Query-by-example word spotting using multiscale features and classification in the space of representation differences ». IEEE International Conference on Image Processing (ICIP) (Beijing, China, Sept. 17-20, 2017) p. 1112-1116. Piscataway, NJ, USA : IEEE.

Mingli Zhang, Christian Desrosiers. 2017. « Image completion with global structure and weighted nuclear norm regularization ». 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017) p. 4187-4193. Piscataway, NJ, USA : IEEE.

Mingli Zhang, Christian Desrosiers. 2017. « Image denoising based on sparse representation and gradient histogram ». IET Image Processing. vol. 11 , nº 1. p. 54-63.

Mingli Zhang, Christian Desrosiers, Caiming Zhang. 2017. « Effective compressive sensing via reweighted total variation and weighted nuclear norm regularization ». IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (New Orleans, LA, USA, Mar. 05-09, 2017) p. 1802-1806. IEEE.

Deen Cockburn, Jean-Philippe Roberge, Le Thuy-Hong-Loan, Alexis Maslyczyk, Vincent Duchaine. 2017. « Grasp stability assessment through unsupervised feature learning of tactile images ». 2017 IEEE International Conference on Robotics and Automation (ICRA) (Singapore, Singapore, May 29- June 03, 2017) p. 2238-2244. Piscataway, NJ, USA : IEEE.

Jennifer Kwiatkowski, Deen Cockburn, Vincent Duchaine. 2017. « Grasp stability assessment through the fusion of proprioception and tactile signals using convolutional neural networks ». IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Vancouver, BC, Canada, Sept. 24-28, 2017) p. 286-292. Piscataway, NJ, USA : IEEE.

Thuy-Hong-Loan Le, Alexis Maslyczyk, Jean-Philippe Roberge, Vincent Duchaine. 2017. « A highly sensitive multimodal capacitive tactile sensor ». 2017 IEEE International Conference on Robotics and Automation (ICRA) (Singapore, Singapore, May 29- June 03, 2017) p. 407-412. Piscataway, NJ, USA : IEEE.

Sayed Alireza Mohseni, Vincent Duchaine, Tony Wong. 2017. « A comparative study of the optimal control design using evolutionary algorithms: Application on a close-loop system ». Intelligent Systems Conference (IntelliSys) (London, UK, Sept. 07-08, 2017) p. 942-948. Piscataway, NJ, USA : IEEE.

M. Reza Motamedi, David Florant, Vincent Duchaine. 2017. « Comparing the exteroceptive feedback of normal stress, skin stretch, and vibrotactile stimulation for restitution of static events ». Frontiers in Robotics and AI. vol. 4 9 p.

M. Reza Motamedi, Jean-Philippe Roberge, Vincent Duchaine. 2017. « The Use of vibrotactile feedback to restore texture recognition capabilities, and the effect of subject training ». IEEE Transactions on Neural Systems and Rehabilitation Engineering. vol. 25 , nº 8. p. 1230-1239.

M. Reza Motamedi, Martin Otis, Vincent Duchaine. 2017. « The Impact of Simultaneously Applying Normal Stress and Vibrotactile Stimulation for Feedback of Exteroceptive Information ». Journal of Biomechanical Engineering. vol. 139 , nº 6. 9 p.

Samuel Rispal, Axay K. Rana, Vincent Duchaine. 2017. « Texture roughness estimation using dynamic tactile sensing ». 3rd International Conference on Control, Automation and Robotics (ICCAR) (Nagoya, Japan, April 22-24, 2017) p. 555-562. Piscataway, NJ, USA : IEEE.

Samuel Rispal, Axay Rana, Vincent Duchaine. 2017. « Textures recognition through tactile exploration for robotic applications ». 3rd International Conference on Control, Automation and Robotics (ICCAR) (Nagoya, Japan, April 22-24, 2017) p. 121-128. IEEE.

Etienne Roberge, Vincent Duchaine. 2017. « Detecting insertion tasks using convolutional neural networks during robot teaching-by-demonstration ». IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Vancouver, BC, Canada, Setp. 24-28, 2017) p. 3210-3216. Piscataway, NJ, USA : IEEE.

Seddigheh Baktash, Mohamad Forouzanfar, Izmail Batkin, Miodrag Bolic, Voicu Z. Groza, Saif Ahmad, Hilmi R. Dajani. 2017. « Characteristic ratio-independent arterial stiffness-based blood pressure estimation ». IEEE Journal of Biomedical and Health Informatics. vol. 21 , nº 5. p. 1263-1270.

Mohamad Forouzanfar, Mohamed Mabrouk, Sreeraman Rajan, Miodrag Bolic, Hilmi R. Dajani, Voicu Z. Groza. 2017. « Event recognition for contactless activity monitoring using phase-modulated continuous wave radar ». IEEE Transactions on Biomedical Engineering. vol. 64 , nº 2. p. 479-491.

Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maeir-Hein, Stefanie Demirci, Éric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo%I Springer Carneiro. 2017. « Intravascular imaging and computer assisted stenting, and large-scale annotation of biomedical data and expert label synthesis : 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017 : Proceedings ». 166 p.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2017. « Dynamic ensembles of exemplar-SVMs for still-to-video face recognition ». Pattern Recognition. vol. 69 p. 61-81.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2017. « Dynamic selection of exemplar-SVMs forwatch-list screening through domain adaptation ». 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017) (Porto, Portugal, Feb. 24-26, 2017) p. 738-745. SciTePress.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2017. « Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations ». Machine Vision and Applications. vol. 28 , nº 1/2. p. 219-241.

George Ekladious, Robert Sabourin, Eric Granger. 2017. « Learning global-local distance metrics for signature-based biometric cryptosystems ». Cryptography. vol. 1 , nº 3. 22 p.

Nguyen-Meidine Le Thanh, Eric Granger, Madhu Kiran, Louis-Antoine Blais-Morin. 2017. « A comparison of CNN-based face and head detectors for real-time video surveillance applications ». Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Montreal, QC, Canada, Nov. 28 - Dec. 01, 2017) Piscataway, NJ, USA : IEEE.

Farshad Nourbakhsh, Eric Granger, Giorgio Fumera. 2017. « An extended sparse classification framework for domain adaptation in video surveillance ». Computer Vision – ACCV 2016 Workshops : ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III (Taipei, Taiwan, Nov. 20-24, 2016) p. 360-376. Springer Verlag.

Mostafa Parchami, Saman Bashbaghi, Eric Granger. 2017. « CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person ». 14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (Lecce, Italy, Aug. 29 - Sept. 01 2017) Piscataway, NJ, USA : IEEE.

Mostafa Parchami, Saman Bashbaghi, Eric Granger. 2017. « Video-based face recognition using ensemble of haar-like deep convolutional neural networks ». 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017) p. 4625-4632. Piscataway, NJ, USA : IEEE.

Mostafa Parchami, Saman Bashbaghi, Eric Granger, Saif Sayed. 2017. « Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition ». 14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (Lecce, Italy, Aug. 29 - Sept. 01 2017) IEEE.

Xihan Wang, Xiaoyi Feng, Zhaoqiang Xia, Jinye Peng, E. Granger. 2017. « Multi-orientation scene text detection leveraging background suppression ». 9th International Conference on Image and Graphics, ICIG 2017; Shanghai; China; 13 September 2017 through 15 September 2017 (Shanghai, China, Sept. 13-15, 2017) p. 555-566. Springer.

Voncarlos Araújo, Alceu S. Britto, André L. Brun, Alessandro L. Koerich, Rosane Palate. 2017. « Multiple classifier system for plant leaf recognition ». 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (Banff, AB, Canada, Oct. 05-08, 2017) p. 1880-1885. IEEE.

Jhony K. Pontes, Clinton Fookes, Alceu Britto Jr, Alessandro L. Koerich. 2017. « Two-stage facial age prediction using group-specific features ». 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (New Orleans, LA, USA, Mar. 05-09, 2017) p. 2577-2581. IEEE.

Eunelson J. Silva, Alceu S. Britto, Luiz S. Oliveira, Fabricio Enembreck, Robert Sabourin, Alessandro L. Koerich. 2017. « A two-step cascade classification method ». 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017) p. 573-580. Piscataway, NJ, USA : IEEE.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2017. « Analyzing different prototype selection techniques for dynamic classifier and ensemble selection ». International Joint Conference on Neural Networks (Anchorage, AK, USA, May 14-19, 2017) p. 3959-3966. IEEE.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2017. « META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection ». Information Fusion. vol. 38 p. 84-103.

Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti. 2017. « Dynamic ensemble selection VS K-NN: why and when dynamic selection obtains higher classification performance? ». Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017) (Montréal, QC, Canada, 28 nov. - 1er dec. 2017) Piscataway, NJ, USA : IEEE.

Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin. 2017. « On the characterization of the Oracle for dynamic classifier selection ». International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 08-12, 2017) p. 332-339. IEEE.

Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool. 2017. « DeepProposals: Hunting objects and actions by cascading deep convolutional layers ». International Journal of Computer Vision. vol. 124 , nº 2. 17 p. p. 115-131.

Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek. 2017. « Areas of attention for image captioning ». 2017 IEEE International Conference on Computer Vision (ICCV) (Venice, Italy, Oct. 22-29, 2017) p. 1251-1259. IEEE.

Frank Preiswerk, Matthew Toews, Cheng-Chieh Cheng, Jr-yuan George Chiou, Chang-Sheng Mei, Lena F. Schaefer, W. Scott Hoge, Benjamin M. Schwartz, Lawrence P. Panych, Bruno Madore. 2017. « Hybrid MRI-Ultrasound acquisitions, and scannerless real-time imaging ». Magnetic Resonance in Medicine. vol. 78 , nº 3. p. 897-908.

Theo Andre, David Communier, Manuel Flores, Ruxandra Botez, Oscar Carranza Moyao, Tony Wong, Guy Gauthier. 2017-11-07. « Measuring Impact of an Aileron on Aerodynamic Behaviour in a Wind Tunnel ». Substance ÉTS. vol.

Theo Andre, David Communier, Manuel Flores, Ruxandra Botez, Oscar Carranza Moyao, Tony Wong, Guy Gauthier. 2017-11-07. « Mesure de l’influence d’un aileron sur le comportement aérodynamique en soufflerie ». Substance ÉTS. vol.

Antoine Machetto, David Communier, Ruxandra Botez, Oscar Carranza Moyao, Tony Wong. 2017-04-05. « Automating Wing Angle Changes inside the LARCASE Price – Païdoussis Wind Tunnel ». Substance ÉTS. vol.

Antoine Machetto, David Communier, Ruxandra Botez, Oscar Carranza Moyao, Tony Wong. 2017-04-05. « Automatisation du changement d’angle d’une aile dans la soufflerie Price – Païdoussis du LARCASE ». Substance ÉTS. vol.

Y. Mathlouthi, A. Mitiche, I. Ben Ayed. 2016. « Calcul variationnel des dérivées d’une image et application à l’estimation du flot optique et du flot de scène ». Reconnaissance des Formes et l'Intelligence Artificielle (RFIA'16) (Clermont Ferrand, France, 27 juin - 1 juil. 2016)

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed. 2016. « Boundary preserving variational image differentiation ». Pattern Recognition : 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings (Hannover, Germany, Sept. 12-15, 2016) p. 355-364. Springer International Publishing.

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed. 2016. « Monocular, boundary-preserving joint recovery of scene flow and depth ». Frontiers in ICT. vol. 3 , nº 21.

Brandon Miles, Ismail Ben Ayed, Seyed-Parsa Hojjat, Michael H. Wang, Shuo Li, Aaron Fenster, Gregory J. Garvin. 2016. « Spine labeling in axial magnetic resonance imaging via integral kernels ». Computerized Medical Imaging and Graphics. vol. 54 p. 27-34.

Kumaradevan Punithakumar, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga. 2016. « Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences ». Computer Methods and Programs in Biomedicine. vol. 124 p. 58-66.

Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox. 2016. « Shape distances for binary image segmentation ». In Perspectives in Shape Analysis Coll. «Mathematics and Visualization», . p. 137-154. Springer Heidelberg.

Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov. 2016. « Normalized Cut Meets MRF ». Computer Vision - ECCV 2016 : 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II (Amsterdam, Netherlands, Oct. 08-16, 2016) p. 748-765. Springer International Publishing.

Ahmed Ali, Najim Dehak, Patrick Cardinal, Sameer Khurana, Sree Harsha Yella, James Glass, Peter Bell, Steve Renals. 2016. « Automatic dialect detection in Arabic broadcast speech ». 17th Annual Conference of the International Speech Communication Association, (INTERSPEECH) (San Francisco, CA, USA, Sept. 08-16, 2016) p. 2934-2938. Baixas, France : International Speech and Communication Association.

Patrice Boucher, Pierre Dufour, Pierrich Plusquellec, Najim Dehak, Pierre Dumouchel, Patrick Cardinal. 2016. « PHYSIOSTRESS: A multimodal corpus of data on acute stress and physiological activation ». Workshop on Multimodal Corpora : Computer vision and language processing (MMC 2016) (Portoroz, Slovenia, May 23-28, 2016) p. 45-48. European Language Resources Association (ELRA).

Mohammed Senoussaoui, Patrick Cardinal, Najim Dehak, Alessandro L. Koerich. 2016. « Native language detection using the i-vector framework ». 17th Annual Conference of the International Speech Communication Association (INTERSPEECH) (San Francisco, CA, USA, Sept. 08-16, 2016) p. 2398-2402. Baixas, France : International Speech and Communication Association.

Ahmad Chaddad, Christian Desrosiers, Ahmed Bouridane, Matthew Toews, Lama Hassan, Camel Tanougast. 2016. « Multi texture analysis of colorectal cancer continuum using multispectral imagery ». PLoS ONE. vol. 11 , nº 2. 17 p.

Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Camel Tanougast. 2016. « A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome ». The British Journal of Radiology. vol. 89 , nº 1068.

Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews. 2016. « Multispectral texture analysis of histopathological abnormalities in colorectal tissues ». IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016) p. 2628-2632. IEEE.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016. « GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes ». Medical Imaging 2016: Image Processing (San Diego, CA, USA, Fev. 28-Mar. 2, 2016) SPIE.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016. « Local discriminative characterization of MRI for Alzheimer's disease ». 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016) p. 1-5. Piscataway, NJ, USA : IEEE.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016. « Phenotypic characterization of glioblastoma identified through shape descriptors ». Medical Imaging 2016: Computer-Aided Diagnosis (San Diego, CA, USA, Feb. 28-Mar. 02, 2016) SPIE.

Ahmad Chaddad, Christian Desrosiers, Matthew Toews. 2016. « Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme ». 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Orlando, FL, USA, Aug. 16-20, 2016) p. 4035-4038. Piscataway, NJ, USA : IEEE.

Kuldeep Kumar, Christian Desrosiers. 2016. « A sparse coding approach for the efficient representation and segmentation of white matter fibers ». 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016) p. 915-919. Piscataway, NJ, USA : IEEE.

Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews. 2016. « Spatially constrained sparse regression for the data-driven discovery of neuroimaging biomarkers ». 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016) p. 2162-2167. IEEE.

Faten M'Hiri, Luc Duong, Christian Desrosiers, Mohamed Leye, Joaquim Miró, Mohamed Cheriet. 2016. « A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences ». Computers in Biology and Medicine. vol. 79 p. 45-58.

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2016. « Sub-partition reuse for fast optimal motion estimation in HEVC successive elimination algorithms ». IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016) p. 2003-2007. IEEE.

Mingli Zhang, Christian Desrosiers. 2016. « Robust MRI reconstruction via re-weighted total variation and non-local sparse regression ». IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) (Montreal, QC, Canada, Sept. 21-23, 2016) IEEE.

Mingli Zhang, Christian Desrosiers, Qiang Qu, Fenghua Guo, Caiming Zhang. 2016. « Medical image super-resolution with non-local embedding sparse representation and improved IBP ». 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Shanghai, China, Mar. 20-25, 2016) p. 888-892. IEEE.

Mingli Zhang, Kuldeep Kumar, Christian Desrosiers. 2016. « A weighted total variation approach for the atlas-based reconstruction of brain MR data ». IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016) p. 4329-4333. IEEE.

Mingli Zhang, Qiang Qu, Sadegh Nobari, Christian Desrosiers. 2016. « LRI: a low rank approach to non-local sparse representation for image interpolation ». International Joint Conference on Neural Networks (IJCNN) (Vancouver, BC, Canada, July 24-29, 2016) p. 3016-3022. Piscataway, NJ, USA : IEEE.

J. Dolz, H. A. Kirisli, T. Fechter, S. Karnitzki, O. Oehlke, U. Nestle, M. Vermandel, L. Massoptier. 2016. « Interactive contour delineation of organs at risk in radiotherapy: clinical evaluation on NSCLC patients ». Medical Physics. vol. 43 , nº 5. p. 2569-2580.

Jose Dolz, Nacim Betrouni, Mathilde Quidet, Dris Kharroubi, Henri A. Leroy, Nicolas Reyns, Laurent Massoptier, Maximilien Vermandel. 2016. « Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study ». Computerized Medical Imaging and Graphics. vol. 52 p. 8-18.

Rachid Bekhti, Philippe Cardou, Vincent Duchaine. 2016. « Designing multi-axis force-torque sensors by minimizing the amplitudes of their nonlinear displacements ». Journal of Mechanical Design. vol. 138 , nº 3.

Rachid Bekhti, Vincent Duchaine, Philippe Cardou. 2016. « A novel force sensing method based on stress imaging analysis ». IEEE Sensors Journal. vol. 16 , nº 7. p. 1926-1936.

Vincent Duchaine. 2016-07-18. « Why tactile intelligence is the future of robotic grasping ». IEEE Spectrum : Blogs. vol.

Seyed Alireza Mohseni, Tony Wong, Vincent Duchaine. 2016. « MCOA: mutated and self-adaptive cuckoo optimization algorithm ». Evolutionary Intelligence. vol. 9 , nº 1-2. p. 21-36.

M. Reza Motamedi, Jean-Baptiste Chossat, Jean-Philippe Roberge, Vincent Duchaine. 2016. « Haptic feedback for improved robotic arm control during simple grasp, slippage, and contact detection tasks ». 2016 IEEE International Conference on Robotics and Automation (ICRA) (Stockholm, Sweden, May 16-21, 2016) p. 4894-4900. IEEE.

Axaykumar Rana, Jean-Philippe Roberge, Vincent Duchaine. 2016. « An improved soft dielectric for a highly sensitive capacitive tactile sensor ». IEEE Sensors Journal. vol. 16 , nº 22. 11 p. p. 7853-7863.

Jean-Philippe Roberge, Samuel Rispal, Tony Wong, Vincent Duchaine. 2016. « Unsupervised feature learning for classifying dynamic tactile events using sparse coding ». 2016 IEEE International Conference on Robotics and Automation (ICRA) (Stockholm, Sweden, May 16-21, 2016) p. 2675-2681. IEEE.

Tony Wong, Pascal Bigras, Vincent Duchaîne, Jean-Philippe Roberge. 2016. « Empirical comparison of differential evolution variants for industrial controller design ». International Journal of Computational Intelligence Systems. vol. 9 , nº 5. p. 957-970.

David Abolarin, Mohamad Forouzanfar, Voicu Z. Groza, Sreeraman Rajan, Hilmi R. Dajani, Emil M. Petriu. 2016. « Model-based filtering and compression of oscillometric blood pressure pulses ». IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Benevento, Italy, May 15-18, 2016) IEEE.

Mohamad Forouzanfar, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic, Sreeraman Rajan, Izmail Batkin. 2016. « Bayesian fusion algorithm for improved oscillometric blood pressure estimation ». Medical Engineering & Physics. vol. 38 , nº 11. p. 1300-1304.

Mohamed Mabrouk, Sreeraman Rajan, Miodrag Bolic, Mohamad Forouzanfar, Hilmi R. Dajani, Izmail Batkin. 2016. « Human breathing rate estimation from radar returns using harmonically related filters ». Journal of Sensors. vol. 2016

Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon. 2016. « Score thresholding for accurate instance classification in multiple instance learning ». Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) (Oulu, Finland, Dec. 12-15, 2016) Piscataway, NJ, USA : IEEE.

Marc-André Carbonneau, Éric Granger, Alexandre J. Raymond, Ghyslain Gagnon. 2016. « Robust multiple-instance learning ensembles using random subspace instance selection ». Pattern Recognition. vol. 58 p. 83-99.

Marc-André Charbonneau, Éric Granger, Ghyslain Gagnon. 2016. « Witness identification in multiple instance learning using random subspaces ». 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016) p. 3639-3644. IEEE.

M. Ali Akber Dewan, É. Granger, G. L. Marcialis, R. Sabourin, F. Roli. 2016. « Adaptive appearance model tracking for still-to-video face recognition ». Pattern Recognition. vol. 49 p. 129-151.

Dmitry O Gorodnichy, David Bissessar, Eric Granger, Robert Laganiére. 2016. « Recognizing people and their activities in surveillance video: technology state of readiness and roadmap ». 13th Conference on Computer and Robot Vision (Victoria, BC, Canada, June 1-3, 2016) p. 250-259. IEEE.

Farshad Nourbakhsh, Eric Granger. 2016. « Learning of graph compressed dictionaries for sparse representation classification ». Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016) (Rome, Italy, Feb. 24-26, 2016) p. 309-316. SciTePress.

Donavan Prieur, Éric Granger, Yvon Savaria, Claude Thibeault. 2016. « Efficient identification of faces in video streams using low-power multi-core devices ». In Handbook of Pattern Recognition and Computer Vision . 5th ed.. p. 427-454. World Scientific.

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2016. « Classifier ensembles with trajectory under-sampling for face re-identification ». Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016) (Rome, Italy, Feb. 24-26, 2016) p. 97-108. SciTePress.

Roghayeh Soleymani, Eric Granger, Giorgio Fumera. 2016. « Loss factors for learning Boosting ensembles from imbalanced data ». 23rd International Conference on Pattern Recognition (ICPR) (Cancun, Mexico, Dec. 4-8, 2016) p. 204-209. IEEE.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2016. « A dual-purpose memory approach for dynamic particle swarm optimization of recurrent problems ». In Recent Advances in Computational Intelligence in Defense and Security Coll. «Studies in Computational Intelligence», Part III. p. 367-389. Springer International Publishing.

Marcelo J. Cossetin, Julio C. Nievola, Alessandro L. Koerich. 2016. « Facial expression recognition using a pairwise feature selection and classification approach ». 2016 International Joint Conference on Neural Networks (IJCNN) (Vancouver, BC, Canada, July 24-29, 2016) p. 5149-5155. IEEE.

Jhony K. Pontes, Alceu S. Britto, Clinton Fookes, Alessandro L. Koerich. 2016. « A flexible hierarchical approach for facial age estimation based on multiple features ». Pattern Recognition. vol. 54 p. 34-51.

Rafael Menelau Oliveira E. Cruz. 2016. « Dynamic selection of ensemble of classifiers using meta-learning ». 293 p. Thèse de doctorat. Montréal , École de technologie supérieure

Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2016. « Meta-learning recommendation of default size of classifier pool for META-DES ». Neurocomputing. vol. 216 12 p. p. 351-362.

Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2016. « Meta-regression based pool size prediction scheme for dynamic selection of classifiers ». 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016) p. 216-221. Piscataway, NJ, USA : IEEE.

Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars. 2016. « Towards automatic image editing: learning to see another you ». Proceedings of the British Machine Vision Conference (York County, United kingdom, Sept. 19-22, 2016) BMVA Press.

Jorn Bersvendsen, Matthew Toews, Adriyana Danudibroto, William M. Wells, Stig Urheim, Raul San José Estepar, Eigil Samset. 2016. « Robust spatio-temporal registration of 4D cardiac ultrasound sequences ». Medical Imaging 2016: Ultrasonic Imaging and Tomography (San Diego, CA, USA, Feb. 28-29, 2016) SPIE.

Matthew Toews, William M. Wells. 2016. « How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features ». 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, Czech Republic, Apr. 13-16, 2016) p. 847-850. Piscataway, NJ, USA : IEEE.

Ismail Ben Ayed. 2015. « Optimisation et apprentissage pour l'analyse d'images médicales ». Communication lors de la conférence : Centre de recherche du Centre hospitalier de l’Université de Montréal (CRCHUM) ( Montréal, QC, Canada, Nov. 2015 )

Ismail Ben Ayed, Kumaradevan Punithakumar, Sukhdeep Gill, Gregory John Garvin. 2015-02-24. « Automatic detection of vertebrae boundaries in spine images ».

Ismail Ben Ayed, Kumaradevan Punithakumar, Seyed-parsa Hojjat, Gregory Garvin. 2015-06-23. « Methods and apparatus to generate three-dimensional spinal renderings ».

Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li. 2015. « Distribution matching with the Bhattacharyya similarity: a bound optimization framework ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 37 , nº 9. p. 1777-1791.

Yuri Boykov, Hossam Isack, Carl Olsson, Ismail Ben Ayed. 2015. « Volumetric bias in segmentation and reconstruction: Secrets and solutions ». Communication lors de la conférence : IEEE International Conference on computer vision ( Santiago, Chile, Dec. 11-18, 2015 )

Yuri Boykov, Hossam Isack, Carl Olsson, Ismail Ben Ayed. 2015. « Volumetric bias in segmentation and reconstruction: secrets and solutions ». 2015 IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 7-13, 2015) p. 1769-1777. Los Alamitos, CA, USA : IEEE Computer Society.

Amar Mitiche, Yosra Mathlouthi, Ismail Ben Ayed. 2015. « Monocular concurrent recovery of structure and motion scene flow ». Frontiers in ICT. vol. 2

Ines Njeh, Lamia Sallemi, Ismail Ben Ayed, Khalil Chtourou, Stephane Lehericy, Damien Galanaud, Ahmed Ben Hamida. 2015. « 3D multimodal MRI brain glioma tumor and edema segmentation: a graph cut distribution matching approach ». Computerized Medical Imaging and Graphics. vol. 40 p. 108-119.

Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, M. Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, Maria J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Guray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andres Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan. 2015. « Right ventricle segmentation from cardiac MRI: a collation study ». Medical Image Analysis. vol. 19 , nº 1. p. 187-202.

Kumaradevan Punithakumar, Michelle Noga, Ismail Ben Ayed, Pierre Boulanger. 2015. « Right ventricular segmentation in cardiac MRI with moving mesh correspondences ». Computerized Medical Imaging and Graphics. vol. 43 p. 15-25.

Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov. 2015. « Secrets of GrabCut and Kernel K-Means ». 2015 IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 7-13, 2015) p. 1555-1563. Los Alamitos, CA, USA : IEEE Computer Society.

Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov. 2015. « Secrets of GrabCut and Kernel K-Means ». Communication lors de la conférence : IEEE International Conference on computer vision ( Santiago, Chile, Dec. 11-18, 2015 )

Simon Boutin, Réal Tremblay, Patrick Cardinal, Doug Peters, Pierre Dumouchel. 2015. « Audio quotation marks for natural language understanding ». INTERSPEECH 2015. 16th Annual Conference of the International Speech Communication Association (Dresden, Germany, Sept. 6-10, 2015) p. 1349-1352. International Speech Communication Association.

Patrick Cardinal, Najim Dehak, Alessandro Koerich Lameiras, Jahangir Alam, Patrice Boucher. 2015. « ETS System for AV+EC 2015 Challenge ». Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge (Brisbane, Australia, Oct. 26-30, 2015) p. 17-23. ACM.

Patrick Cardinal, Najim Dehak, Yu Zhang, James Glass. 2015. « Speaker adaptation using the I-vector technique for bottleneck features ». INTERSPEECH 2015. 16th Annual Conference of the International Speech Communication Association (Dresden, Germany, Sept. 6-10, 2015) p. 2867-2871. International Speech Communication Association.

Alvine Boaye Belle, Ghizlane El boussaidi, Christian Desrosiers, Hafedh Mili. 2015. « ReALEITY : a tool for recovering software layers from object-oriented systems ». Affiche présentée lors de la conférence : 2015 12th Working IEEE/IFIP Conference on Software Architecture (WICSA) ( Montreal, QC, Canada, May 4-7, 2015 )

Alvine Boaye Belle, Ghizlane El Boussaidi, Christian Desrosiers, Segla Kpodjedo, Hafedh Mili. 2015. « The layered architecture recovery as a quadratic assignment problem ». Software Architecture : 9th European Conference, ECSA 2015, Dubrovnik/Cavtat, Croatia, September 7–11, 2015, Proceedings (Cham, Switzerland, Sept. 7-11, 2015) p. 339-354. Springer International Publishing.

Tarik Boukhalfi, Christian Desrosiers, Eric Paquette. 2015. « A machine learning approach to automate facial expressions from physical activity ». 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Full Papers Proceedings (Pilsen, Czech Republic, June 8-12, 2015) p. 81-88. Vaclav Skala - Union Agency.

Christian Desrosiers. 2015. « Unsupervised segmentation using dynamic superpixel random walks ». 2015 International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 1772-1776. IEEE.

Stefan Karnyaczki, Christian Desrosiers. 2015. « A sparse coding method for semi-supervised segmentation with multi-class histogram constraints ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 3215-3219. Piscataway, NJ, USA : IEEE.

Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi. 2015. « Brain fiber clustering using non-negative kernelized matching pursuit ». Machine Learning in Medical Imaging. 6th International Workshop, MLMI 2015, held in conjunction with MICCAI 2015. Proceedings (Munich, Germany, Oct. 5, 2015) p. 144-152. Cham, Switzerland : Springer International Publishing.

J. P. Martin, C. Desrosiers, L. Duong. 2015. « Utilisation d'un fantôme multimodalité cardiothoracique (XCAT) pour la validation d'algorithmes de compensation de mouvement ». Communication lors de la conférence : 6e Journée Cardio-pédiatrique et Foeto-maternelle en recherche (JCF 2015) ( Montréal, QC, Canada, 19 mars 2015 )

Faten M'Hiri, T. Hoang Ngan Le, Luc Duong, Christian Desrosiers, Mohamed Cheriet. 2015. « Hierarchical segmentation and tracking of coronary arteries in 2D X-ray angiography sequences ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 1707-1711. Piscataway, NJ, USA : IEEE.

Xia Ning, Christian Desrosiers, George Karypis. 2015. « A comprehensive survey of neighborhood-based recommendation methods ». In Recommender Systems Handbook Part I. Second Edition. p. 37-76. Springer US.

Alpa Jayesh Shah, Christian Desrosiers, Robert Sabourin. 2015. « Contextual anomaly detection using log-linear tensor factorization ». Advances in Knowledge Discovery and Data Mining : 19th Pacific-Asia Conference, PAKDD 2015. Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II (Ho Chi Minh City, Vietnam, May 19-22, 2015) p. 165-176. Cham, Switzerland : Springer International Publishing.

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2015. « An adaptive search ordering for rate-constrained successive elimination algorithms ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 207-211. IEEE.

Mingli Zhang, Christian Desrosiers, Caiming Zhang, Mohamed Cheriet. 2015. « Effective document image deblurring via gradient histogram preservation ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 779-783. Piscataway, NJ, USA : IEEE.

J. Dolz, H. A. Leroy, N. Reyns, L. Massoptier, M. Vermandel. 2015. « A fast and fully automated approach to segment optic nerves on MRI and its application to radiosurgery ». 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) (New York, NY, USA, April 16-19, 2015) p. 1102-1105. Piscataway, NJ, USA : IEEE.

J. B. Chossat, Tao Yiwei, Vincent Duchaine, Park Yong-Lae. 2015. « Wearable soft artificial skin for hand motion detection with embedded microfluidic strain sensing ». 2015 IEEE International Conference on Robotics and Automation (ICRA). Proceedings (Seattle, WA, USA, May 26-30, 2015) p. 2568-2573. Piscataway, NJ, USA : IEEE.

Jean-Baptiste Chossat, Hee-Sup Shin, Yong-Lae Park, Vincent Duchaine. 2015. « Soft tactile skin using an embedded ionic liquid and tomographic imaging ». Journal of Mechanisms and Robotics. vol. 7 , nº 2.

M. Reza Motamedi, David Florant, Vincent Duchaine. 2015. « A wearable haptic device based on twisting wire actuators for Feedback of tactile pressure information ». Journal of Robotics and Mechatronics. vol. 27 , nº 4. p. 419-429.

M. Reza Motamedi, Jean-Philippe Roberge, Vincent Duchaine. 2015. « Tactile sensation transmission from a robotic arm to the human body via a haptic interface ». 2015 IEEE World Haptics Conference (WHC) (Evanston, Il, USA, June 22-26, 2015) p. 139-145. Piscataway, NJ, USA : IEEE.

Izmail Batkin, Saif Ahmad, Miodrag Bolic, Voicu Groza, R. Dajani Hilmi, Mohamad Forouzanfar. 2015-02-24. « Apparatus and method for electrocardiogram-assisted blood pressure measurement ».

Mohamad Forouzanfar, Saif Ahmad, Izmail Batkin, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic. 2015. « Model-based mean arterial pressure estimation using simultaneous electrocardiogram and oscillometric blood pressure measurements ». IEEE Transactions on Instrumentation and Measurement. vol. 64 , nº 9. p. 2443-2452.

Mohamad Forouzanfar, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic, Sreeraman Rajan, Izmail Batkin. 2015. « Oscillometric blood pressure estimation: Past, present, and future ». IEEE Reviews in Biomedical Engineering. vol. 8 p. 44-63.

Hamed Samimi, Mohamad Forouzanfar, Hilmi R. Dajani. 2015. « Automatic recognition of speech-evoked brainstem responses to English vowels ». IASTED International Conference on Computational Intelligence (CI 2015) (Innsbruck, Austria, Feb. 16-17, 2015) p. 207-211. Acta Press.

Ajita Rattani, Fabio Roli, Éric Granger. 2015. « Adaptive Biometric Systems: Recent Advances and Challenges ». Springer International Publishing. 134 p.

I. Amara, Eric Granger, A. Hadid. 2015. « On the effects of illumination normalization with LBP-based watchlist screening ». Computer Vision - ECCV 2014 Workshops. Proceedings: LNCS 8926 (Zurich, Switzerland, Sept. 6-12, 2014) p. 173-188. Cham, Switzerland : Springer International Publishing.

Saman Bashbaghi, Éric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2015. « Ensembles of exemplar-SVMs for video face recognition from a single sample per person ». 2015 12th IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS) (Karlsruhe, Germany, Aug. 25-28 2015) IEEE.

Marc-André Carbonneau, Alexandre J. Raymond, Éric Granger, Ghyslain Gagnon. 2015. « Real-time visual play-break detection in sport events using a context descriptor ». 2015 IEEE International Symposium on Circuits and Systems (ISCAS). Proceedings (Lisbon, Portugal, May 24-27, 2015) p. 2808-2811. Piscataway, NJ, USA : IEEE.

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger. 2015. « Contextual object tracker with structure encoding ». 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 4937-4941. IEEE.

Miguel De La Torre, Éric Granger, Robert Sabourin. 2015. « Adaptive skew-sensitive fusion of ensembles and their application to face re-identification ». International Joint Conference on Neural Networks 2015 (Killarney, Ireland, July 12-17, 2015)

Miguel De-la-Torre, Éric Granger, Paulo V. W. Radtke, Robert Sabourin, Dmitry O. Gorodnichy. 2015. « Partially-supervised learning from facial trajectories for face recognition in video surveillance ». Information Fusion. vol. 24 p. 31-53.

Miguel De-la-Torre, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2015. « Adaptive skew-sensitive ensembles for face recognition in video surveillance ». Pattern Recognition. vol. 48 , nº 11. p. 3385-3406.

Miguel De-la-Torre, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2015. « An adaptive ensemble-based system for face recognition in person re-identification ». Machine Vision and Applications. vol. 26 , nº 6. p. 741-773.

Miguel De-la-Torre, Eric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2015. « Individual-specific management of reference data in adaptive ensembles for face re-identification ». IET Computer Vision. vol. 9 , nº 5. p. 732-740.

M. Ali Akber Dewan, E. Granger, R. Sabourin, G. L. Marcialis, F. Roli. 2015. « Video face recognition from a single still image using an adaptive appearance model tracker ». 2015 IEEE Symposium Series on Computational Intelligence (Cape Town, South Africa, Dec. 7-10, 2015) p. 196-202. IEEE.

Samaneh Khoshrou, Jaime S. Cardoso, Eric Granger, Luis F. Teixeira. 2015. « Spatio-temporal fusion for learning of regions of interests over multiple video streams ». Advances in Visual Computing : 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II (Las Vegas, NV, USA, Dec. 14-16, 2015) p. 509-520. Springer Verlag.

Fania Mokhayeri, Éric Granger, Guillaume-Alexandre Bilodeau. 2015. « Synthetic face generation under various operational conditions in video surveillance ». IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015) p. 4052-4056. IEEE.

C. Pagano, E. Granger, R. Sabourin, G. L. Marcialis, F. Roli. 2015. « Adaptive classification for person re-identification driven by change detection ». ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings (Lisbon, Portugal, Jan. 10-15, 2015) p. 45-55. SciTePress.

C. Pagano, E. Granger, R. Sabourin, P. Tuveri, G. L. Marcialis, F. Roli. 2015. « Context-sensitive self-updating for adaptive face recognition ». In Adaptive Biometric Systems: Recent Advances and Challenges Coll. «Advances in Computer Vision and Pattern Recognition», . p. 9-34. Springer International Publishing.

Vitaliy Tayanov, Éric Granger, Miguel Bordallo, Abdenour Hadid. 2015. « Super-resolution pipeline for fast adjudication in watchlist screening ». IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA) (Orleans, France, Nov. 10-13, 2015) p. 273-278. IEEE.

Paulo R. L. De Almeida, Luiz S. Oliveira, Alceu S. Britto, Eunelson J. Silva, Alessandro L. Koerich. 2015. « PKLot-A robust dataset for parking lot classification ». Expert Systems with Applications. vol. 42 , nº 11. p. 4937-4949.

Andreia Marini, A. J. Turatti, A. S. Britto, Alessandro L. Koerich. 2015. « Visual and acoustic identification of bird species ». Proceedings of the International Conference on Acoustics, Speech and Signal Processing ICASSP 2015 (Brisbane, Australia, Apr. 19-24, 2015) p. 2309-2313.

Leila M. Vriesmann, Alceus S. Jr. Britto, Luiz S. Oliveira, Alessandro L. Koerich, Robert Sabourin. 2015. « Combining overall and local class accuracies in an oracle-based method for dynamic ensemble selection ». 2015 International Joint Conference on Neural Networks (IJCNN) (Killarney, Ireland, July 12-17, 2015) Piscataway, NJ, USA : IEEE.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2015. « META-DES.H: A dynamic ensemble selection technique using meta-learning and a dynamic weighting approach ». 2015 International Joint Conference on Neural Networks (IJCNN) (Killarney, Ireland, July 12-17, 2015) Piscataway, NJ, USA : IEEE.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren. 2015. « META-DES: A dynamic ensemble selection framework using meta-learning ». Pattern Recognition. vol. 48 , nº 5. p. 1925-1935.

Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars. 2015. « Weakly supervised object detection with convex clustering ». IEEE Conference on Computer Vision and Pattern Recognition, (CVPR) (Boston, MA, USA, June 07-12, 2015) p. 1081-1089. IEEE Computer Society.

Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool. 2015. « Deepproposal: Hunting objects by cascading deep convolutional layers ». 15th IEEE International Conference on Computer Vision ( ICCV) (Santiago, Chile, Dec. 11-18, 2015) p. 2578-2586. IEEE.

Amir Ghodrati, Xu Jia, Marco Pedersoli, Tinne Tuytelaars. 2015. « Swap retrieval: Retrieving images of cats when the query shows a dog ». 5th ACM International Conference on Multimedia Retrieval (ICMR) (Shanghai, China, June 23-26, 2015) p. 395-402. Association for Computing Machinery.

Josep M. Gonfaus, Marco Pedersoli, Jordi Gonzàlez, Andrea Vedaldi, F. Xavier Roca. 2015. « Factorized appearances for object detection ». Computer Vision and Image Understanding. vol. 138 p. 92-101.

Ivan Huerta, Marco Pedersoli, Jordi Gonzàlez, Albert Sanfeliu. 2015. « Combining where and what in change detection for unsupervised foreground learning in surveillance ». Pattern Recognition. vol. 48 , nº 3. p. 709-719.

Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool. 2015. « An elastic deformation field model for object detection and tracking ». International Journal of Computer Vision. vol. 111 , nº 2. p. 137-152.

Marco Pedersoli, Tinne Tuytelaars. 2015. « Learning where to position parts in 3D ». 15th IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 11-15, 2015) p. 136-144. IEEE.

Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez, Xavier Roca. 2015. « A coarse-to-fine approach for fast deformable object detection ». Pattern Recognition. vol. 48 , nº 5. p. 1844-1853.

Frank Preiswerk, Matthew Toews, W. Scott Hoge, Jr-yuan George Chiou, Lawrence P. Panych, William M. Wells, Bruno Madore. 2015. « Hybrid utrasound and MRI acquisitions for high-speed imaging of respiratory organ motion ». Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings (Munich, Germany, Oct. 5-9, 2015) p. 315-322. Springer International Publishing.

Matthew Toews, Christian Wachinger, Raul San Jose Estepar, William M. Wells III. 2015. « A feature-based approach to Big Data medical image analysis ». Communication lors de la conférence : Information Processing in Medical Imaging (IPMI 2015) ( Isle of Skye, Scotland, June 28 - July 3, 2015 )

Matthew Toews, Christian Wachinger, Raul San Jose Estepar, William M. III Wells. 2015. « A Feature-based approach to big data analysis of medical images ». Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings (Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015) p. 339-350. Springer International Publishing.

C. Wachinger, M. Toews, G. Langs, W. Wells, P. Golland. 2015. « Keypoint transfer segmentation ». Information Processing in Medical Imaging : 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings (Sabhal Mor Ostaig, Isle of Skye, UK, June 28-July 3, 2015) p. 233-245. Springer International Publishing.

T. Wong. 2015. « A multi-neighborhood multi-operator algorithm for the uncapacitated exam proximity problem ». WMSCI 2015 - 19th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings (Orlando, FL, USA, July 12-15, 2015) p. 195-200. International Institute of Informatics and Systemics.

Tony Wong, Salah Assal. 2015. « A multi-neighborhood multi-operator algorithm for the uncapacitated exam proximity problem ». Journal of Systemics, Cybernetics and Informatics. vol. 13 , nº 5. p. 56-61.

Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max Law, Ali Islam, Aashish Goela, Terry Peters, Shuo Li. 2014. « Regional assessment of cardiac left ventricular myocardial function via MRI statistical features ». IEEE Transactions on Medical Imaging. vol. 33 , nº 2. p. 481-494.

Ismail Ben Ayed. 2014. « Distribution matching approaches to medical image segmentation ». In Computer Vision in Medical Imaging Coll. «Series in Computer Vision», . p. 19-33. World Scientific Publishing Co. Pte. Ltd..

Ismail Ben Ayed, Michael Wang, Brandon Miles, Gregory J. Garvin. 2014. « TRIC: Trust region for invariant compactness and its application to abdominal aorta segmentation ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I (Boston, MA, USA, Sept. 14-18, 2014) p. 381-388. Springer Verlag.

Mohamed Ben Salah, Ismail Ben Ayed, Yuan Jing, Zhang Hong. 2014. « Convex-relaxed kernel mapping for image segmentation ». IEEE Transactions on Image Processing. vol. 23 , nº 3. p. 1143-1153.

Yuri Boykov, Ismail Ben Ayed, Daniel Cremers, Milan Sonka. 2014. « Medical image segmentation: beyond level-sets (MICCAI 2014 Tutorial) ». Communication lors de la conférence : Medical Image Computing and Computer Assited Intervention Conference (MICCAI 2014) ( Cambridge, MA, USA, Sept. 14-18, 2014 )

Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong. 2014. « Submodularization for binary pairwise energies ». 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, USA, June 23-28, 2014) p. 1154-1161. IEEE.

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed. 2014. « Direct estimation of dense scene flow and depth from a monocular sequence ». Advances in Visual Computing : 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I (Cham, Switzerland, Dec. 8-10, 2014) p. 107-117. Springer International Publishing.

Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross, Ali Islam, Richard Rankin. 2014-08-19. « Methods, apparatus and articles of manufacture to track endocardial motion ».

Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li. 2014. « Detecting left ventricular impaired relaxation using MR imaging ». 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 (Valencia, Spain, June 1-4, 2014) p. 310-313. IEEE Computer Society.

Meng Tang, Ismail Ben Ayed, Yuri Boykov. 2014. « Pseudo-bound optimization for binary energies ». Computer Vision – ECCV 2014. 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V (Zurich, Switzerland, Sept. 6-12, 2014) p. 691-707. Springer International Publishing.

Ahmed Ali, Yifan Zhang, Patrick Cardinal, Najim Dehak, Stephan Vogel, James Glass. 2014. « A complete KALDI recipe for building Arabic speech recognition systems ». 2014 IEEE Spoken Language Technology Workshop (STL) (South Lake Tahoe, NV, USA, Dec. 7-10, 2014) p. 525-529. IEEE.

Patrick Cardinal, Ahmed Ali, Najim Dehak, Yu Zhang, Tuka Al Hanai, Yifan Zhang, James R. Glass, Stephan Vogel. 2014. « Recent advances in ASR applied to an Arabic transcription system for Al-Jazeera ». INTERSPEECH 2014. 15th Annual Conference of the International Speech Communication Association (Singapore, Singapore, Sept. 14-18, 2014) p. 2088-2092. International Speech Communication Association.

Vishwa Gupta, Gilles Boulianne, Patrick Cardinal. 2014-09-09. « Content based audio copy detection ».

Christian Desrosiers. 2014. « A fast and adaptive random walks approach for the unsupervised segmentation of natural images ». 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014) p. 130-135. Los Alamitos, CA, USA : IEEE Computer Society.

Christian Desrosiers. 2014. « An unsupervised random walk approach for the segmentation of brain MRI ». 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (Beijing, China, Apr. 29 - May 2, 2014) p. 337-340. Institute of Electrical and Electronics Engineers Inc..

Christian Desrosiers, Philippe Galinier, Pierre Hansen, Alain Hertz. 2014. « Automated generation of conjectures on forbidden subgraph characterization ». Discrete Applied Mathematics. vol. 162 p. 177-194.

K.uldeep Kumar, Christian Desrosiers. 2014. « Group sparse kernelized dictionary learning for the clustering of white matter fibers ». Affiche présentée lors de la conférence : Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings ( Boston, MA, USA, Sept. 14-18, 2014 )

Luc Trudeau, Stéphane Coulombe, Christian Desrosiers. 2014. « Rate distortion-based motion estimation search ordering for rate-constrained successive elimination algorithms ». 2014 IEEE International Conference on Image Processing (ICIP) (Paris, France, Oct. 27-30, 2014) p. 3175-3179. Institute of Electrical and Electronics Engineers.

Erick Velazquez-Godinez, Sylvie Ratté, Christian Desrosiers. 2014. « Alignement informatif d'un corpus bilingue de nouvelles ». Communication lors de la conférence : Congrès de l'ACFAS ( Montréal, QC, Canada, 12-16 mai 2014 )

R. Bekhti, Vincent Duchaine, P. Cardou. 2014. « Miniature capacitive three-axis force sensor ». 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014) (Chicago, IL, USA, Sept. 14-18, 2014) p. 3939-3946. Piscataway, N. J., USA : IEEE.

Rachid Bekhti, Vincent Duchaine, Philippe Cardou. 2014. « Structural optimisation of a force-torque sensor through its input-output relationship ». Transactions of the Canadian Society for Mechanical Engineering. vol. 38 , nº 2. p. 199-212.

P. Fortin, M. J. D. Otis, Vincent Duchaine, J. R. Cooperstock. 2014. « Event-based haptic vibration synthesis using a recursive filter for lower limb prosthetics ». 2014 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE). Proceedings (Richardson, TX, USA, Oct. 10-11, 2014) p. 47-52. Piscataway, N. J., USA : IEEE.

Dalong Gao, Diane Marie Wegner, Roland J. Menassa, Alexandre Lecours, Clément Gosselin, Thierry Laliberté, Simon Foucault, Vincent Duchaine. 2014-02-04. « Sensor for handling system ».

Mohamad Forouzanfar, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic. 2014. « Model-based oscillometric blood pressure estimation ». IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Lisbon, Portugal, June 11-12, 2014) IEEE.

Mohamad Forouzanfar, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic, Sreeraman Rajan, Izmail Batkin. 2014. « Ratio-independent blood pressure estimation by modeling the oscillometric waveform envelope ». IEEE Transactions on Instrumentation and Measurement. vol. 63 , nº 10. p. 2501-2503.

Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau. 2014. « Watch-list screening using ensembles based on multiple face representations ». Proceedings - International Conference on Pattern Recognition (Stockholm, Sweden, Aug. 24-28, 2014) p. 4489-4494. IEEE.

Tanushri Chakravorty, Guillaume-Alexandre Bilodeau, Éric Granger. 2014. « Automatic image registration in infrared-visible videos using polygon vertices ». arXiv. 7 p.

M. De-la-Torre, Eric Granger, P. Radtke, R. Sabourin, D. O. Gorodnichy. 2014. « Self-updating with facial trajectories for video-to-video face recognition ». 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014) p. 1669-1674. Los Alamitos, CA, USA : IEEE Computer Society.

George S. Eskander, Robert Sabourin, Éric Granger. 2014. « A bio-cryptographic system based on offline signature images ». Information Sciences. vol. 259 p. 170-191.

George S. Eskander, Robert Sabourin, Éric Granger. 2014. « Improving signature-based biometric cryptosystems using Cascaded Signature Verification-Fuzzy Vault (SV-FV) approach ». Proceedings. 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Heraklion, Sept. 1-4, 2014) p. 187-192. Los Alamitos, CA, USA : IEEE Computer Society.

George S. Eskander, Robert Sabourin, Éric Granger. 2014. « Offline signature-based fuzzy vault: A review and new results ». 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Orlando, FL, USA, Dec. 9-12, 2014) p. 45-52. IEEE Computer Society.

Dmitry O. Gorodnichy, Eric Granger, Paolo Radtke. 2014. « Survey of commercial technologies for face recognition in video ». «Contract Report» Agence des services frontaliers du Canada = Canada Border Services Agency. 35 p.

Dmitry Gorodnichy, Éric Granger. 2014. « Target-based evaluation of face recognition technology for video surveillance applications ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Orlando, FL, USA, Dec. 9-12, 2014) p. 110-117. IEEE Computer Society.

E. Granger, D. O. Gorodnichy, E. Choy, W. Khreich, P. Radtke, J.-P. Bergeron, D. Bissessar. 2014. « Results from evaluation of three commercial off-the-shelf face recognition systems on chokepoint dataset ». «Contract Report» Agence des services frontaliers du Canada = Canada Border Services Agency. 76 p.

Eric Granger, Dmitry O. Gorodnichy. 2014. « Evaluation methodology for face recognition technology in video surveillance applications ». «Contract Report» Agence des services frontaliers du Canada = Canada Border Services Agency. 76 p.

Eric Granger, Paolo Radtke, Dmitry O. Gorodnichy. 2014. « Survey of academic research and prototypes for face recognition in video ». «Contract Report» Agence des services frontaliers du Canada = Canada Border Services Agency. 35 p.

C. Pagano, É. Granger, R. Sabourin, A. Rattani, G. L. Marcialis, F. Roli. 2014. « Efficient adaptive face recognition systems based on capture conditions ». 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM). Proceedings (Orlando, FL, U.S.A, Dec. 9-12, 2014) p. 60-67. Piscataway, NJ, USA : IEEE.

C. Pagano, Éric Granger, Robert Sabourin, G. L. Marcialis, F. Roli. 2014. « Adaptive ensembles for face recognition in changing video surveillance environments ». Information Sciences. vol. 286 p. 75-101.

Christophe Pagano, Éric Granger, Robert Sabourin, Gian Luca Marcialis, Fabio Roli. 2014. « Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams ». Artificial Neural Networks in Pattern Recognition. 6th IAPR TC 3 International Workshop, ANNPR 2014. Proceedings (Montreal, QC, Canada, Oct. 6-8, 2014) p. 105-116. Cham, Switzerland : Springer International Publishing.

Bassem S. Rabil, Robert Sabourin, Éric Granger. 2014. « Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking ». Machine Vision and Applications. vol. 25 , nº 2. p. 277-300.

Paulo V. W. Radtke, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2014. « Skew-sensitive boolean combination for adaptive ensembles - An application to face recognition in video surveillance ». Information Fusion. vol. 20 , nº 1. p. 31-48.

V. Godoy, A. S. Britto, A. Koerich, J. Facon, L. E. S. Oliveira. 2014. « An HMM-based gesture recognition method trained on few samples ». 2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI) (Limassol, Cyprus, Nov. 10-12, 2014) p. 640-646.

Rodrigo A. Seger, Marcelo M. Wanderley, Alessandro Koerich L.. 2014. « Automatic detection of musicians’ ancillary gestures based on video analysis ». Expert Systems with Applications. vol. 41 , nº 4, Part 2. p. 2098-2106.

R. M. O. Cruz, Robert Sabourin, G. D. C. Cavalcanti. 2014. « On meta-learning for dynamic ensemble selection ». 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014) p. 1230-1235. Los Alamitos, CA, USA : IEEE Computer Society.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2014. « Analyzing dynamic ensemble selection techniques using dissimilarity analysis ». Artificial Neural Networks in Pattern Recognition : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014. Proceedings (Montreal, QC, Canada, Oct. 6-8, 2014) p. 59-70. Cham, Switzerland : Springer International Publishing.

Hakan Bilen, Marco Pedersoli, Vinay P. Namboodiri, Tinne Tuytelaars, Luc Van Gool. 2014. « Object classification with adaptable regions ». 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, USA, June 23-28, 2014) p. 3662-3669. IEEE Computer Society.

Hakan Bilen, Marco Pedersoli, Tinne Tuytelaars. 2014. « Weakly supervised object detection with posterior regularization ». Proceedings British Machine Vision Conference (Nottingham, United Kingdom, Sept. 01-05, 2014) BMVA Press.

Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars. 2014. « Coupling video segmentation and action recognition ». 2014 IEEE Winter Conference on Applications of Computer Vision (WACV) (Steamboat Springs, CO, USA, Mar. 24-26, 2014) p. 618-625. IEEE Computer Society.

Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars. 2014. « Is 2D information enough for viewpoint estimation? ». Proceedings British Machine Vision Conference (Nottingham, United kingdom, Sept. 01-05, 2014) BMVA Press.

Amir Ghodrati, Marco Pedersoli, Tinne Tuytelaars. 2014. « Is 2D information enough for viewpoint estimation? ». Communication lors de la conférence : 25th British Machine Vision Conference (BMVC) ( Nottingham, United kingdom, Sept. 01-05, 2014 )

Markus Mathias, Marco Pedersoli, Luc Van Gool, Rodrigo Benenson, Luc Van Gool. 2014. « Face detection without bells and whistles ». Computer Vision - ECCV 2014 : 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV (Zurich, Switzerland, Sept. 6-12, 2014) p. 720-735. Springer International Publishing.

Markus Mathias, Marco Pedersoli, Luc Van Gool, Rodrigo Benenson, Luc Van Gool. 2014. « Face detection without bells and whistles ». Communication lors de la conférence : 13th European Conference on Cuomputer Vision (ECCV) ( Zurich, Switzerland, Sept. 6-12, 2014 )

Marco Pedersoli, Jordi Gonzalez, Xu Hu, Xavier Roca. 2014. « Toward real-time pedestrian detection based on a deformable template model ». IEEE Transactions on Intelligent Transportation Systems. vol. 15 , nº 1. p. 355-364.

Marco Pedersoli, Radu Timofte, Tinne Tuytelaars, Luc Van Gool. 2014. « An Elastic Deformation Field Model for Object Detection and Tracking ». «KU Leuven technical report» KU leuven. 19 p.

Marco Pedersoli, Tinne Tuytelaars. 2014. « A scalable 3D HOG model for fast object detection and viewpoint estimation ». 2nd International Conference on 3D Vision (3DV) (Tokyo, Japan, Dec. 08-11, 2014) p. 163-170. IEEE.

Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool. 2014. « Using a deformation field model for localizing faces and facial points under weak supervision ». IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, United states, June 23-28, 2014) p. 3694-3701. IEEE Computer Society.

G. Gill, M. Toews, R. R. Beichel. 2014. « Robust initialization of active shape models for lung segmentation in CT scans: a feature-based atlas approach ». International Journal of Biomed Imaging. p. 479154.

Tina Kapur, Jan Egger, Jagadeesan Jayender, Matthew Toews, William M. Wells III. 2014. « Registration and segmentation for image-guided therapy ». In Intraoperative Imaging and Image-Guided Therapy . p. 79-91. Springer New York.

Bernard Ng, Matthew Toews, Stanley Durrleman, Yonggang Shi. 2014. « Shape analysis for brain structures ». In Shape analysis in medical image analysis Coll. «Lecture Notes in Computational Vision and Biomechanics», 14. p. 3-49. Springer International Publishing.

Matthew Toews, Alexandra J. Golby, William M. Wells III. 2014. « Inter-slice correspondence for 2D ultrasound-guided procedures ». Clinical Image-Based Procedures. Translational Research in Medical Imaging (Nagoya, Japan, Sept. 24, 2013) p. 143-150. Springer International Publishing.

Matthew Toews, Chan-Sheng Mei, Renxin Chu, W. Scott Hoge, Lawrence P. Panych, Bruno Madore. 2014. « Detecting rapid organ motion using a hybrid MR-ultrasound setup and Bayesian data processing ». Communication lors de la conférence : Joint Annual Meeting ISMRM-ESMRMB 2014 ( Milan, Italy, May 10-16, 2014 )

Demian Wassermann, Matthew Toews, Marc Niethammer, William M. Wells III. 2014. « Probabilistic diffeomorphic registration: representing uncertainty ». Biomedical Image Registration : 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings (London, UK, July 7-8, 2014) p. 72-82. Springer International Publishing.

Ismail Ben Ayed, Lena Gorelick, Yuri Boykov. 2013. « Auxiliary cuts for general classes of higher order functionals ». 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Portland, OR, USA, June 23-28, 2013) p. 1304-1311. IEEE Computer Society.

Brandon Miles, Ismail Ben Ayed, Max W. K. Law, Greg Garvin, Aaron Fenster, Shuo Li. 2013. « Spine image fusion via graph cuts ». IEEE Transactions on Biomedical Engineering. vol. 60 , nº 7. p. 1841-1850.

Cyrus M. S. Nambakhsh, Yuan Jing, Kumaradevan Punithakumar, Aashish Goela, Martin Rajchl, Terry M. Peters, Ismail Ben Ayed. 2013. « Left ventricle segmentation in MRI via convex relaxed distribution matching ». Medical Image Analysis. vol. 17 , nº 8. p. 1010-1024.

Cyrus M. S. Nambakhsh, Terry M. Peters, Ali Islam, Ismail Ben Ayed. 2013. « Right ventricle segmentation with probability product kernel constraints ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III (Nagoya, Japan, Sept. 22-26, 2013) p. 509-517. Springer Verlag.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, Shuo Li. 2013. « Regional heart motion abnormality detection: An information theoretic approach ». Medical Image Analysis. vol. 17 , nº 3. p. 311-324.

Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross, Ali Islam, Richard Rankin. 2013-07-02. « Methods, apparatus and articles of manufacture to process cardiac images to detect heart motion abnormalities ».

Patrick Cardinal. 2013. « Speech recognition on multi-core processors and GPUs ». 145 p. Thèse de doctorat. Montréal , École de technologie supérieure

Patrick Cardinal, Pierre Dumouchel, Gilles Boulianne. 2013. « Large vocabulary speech recognition on parallel architectures ». IEEE Transactions on Audio, Speech and Language Processing. vol. 21 , nº 11. p. 2290-2300.

Alvine Boaye-Belle, Ghizlane El Boussaidi, Christian Desrosiers, Hafedh Mili. 2013. « The layered architecture revisited: Is it an optimization problem? ». Proceedings of the Twenty-Fifth International Conference on Software Engineering & Knowledge Engineering (SEKE 2013) (Boston, MA, USA, June 27-29, 2013) p. 344-349. Knowledge Systems Institute Graduate School.

Faten M'Hiri, Luc Duong, Christian Desrosiers, Mohamed Cheriet. 2013. « Vessel Walker: Coronary Arteries Segmentation Using Random Walks And Hessian-Based Vesselness Filter ». 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2013) (San Francisco, CA, USA, Apr. 7-11, 2013) p. 918-921. Piscataway, NJ, USA : IEEE.

R. Bekhti, Vincent Duchaine, P. Cardou. 2013. « Structural optimization of force-torque sensor using a symbolic analysis ». Communication lors de la conférence : 2013 CCToMM Symposium on Mechanisms, Machines, and Mechatronics (2013 CCToMM M3 Symposium) ( Montreal, QC, Canada, May 30-31, 2013 )

Rachid Bekhti, Vincent Duchaine, Philippe Cardou. 2013. « Structural optimization of force-torque sensor using a symbolic analysis ». Symposium CCToMM 2013 sur les mécanismes, machines et mécatronique (Montréal, QC, Canada, May 30-31, 2013)

J. B. Chossat, Y. L. Park, Vincent Duchaine. 2013. « Use of Ionic liquid and electrical impedance tomography for touch‐sensitive skins in robotics ». IROS 2013 Workshop on Soft Technologies for Wearable Robots (Tokyo, Japan, Nov. 7, 2013)

J. B. Chossat, Park Yong-Lae, R. J. Wood, Vincent Duchaine. 2013. « A Soft Strain Sensor Based on Ionic and Metal Liquids ». IEEE Sensors Journal. vol. 13 , nº 9. p. 3405-3414.

Vincent Duchaine, C.M. Gosselin. 2013. « Passive contact reaction for enhancing human-robot collaboration ». Communication lors de la conférence : 2013 ACM/IEEE International Conference on Human-Robot Interaction ( Tokyo, Japon, Mar. 3-6, 2013 )

Vincent Duchaine, Clément Gosselin. 2013. « Passive Contact Reaction for Enhancing Human-Robot Collaboration ». 8th ACM/IEEE International Conference on Human-Robot Interaction : Workshop on Collaborative Manipulation (Tokyo, Japan, May 3-6, 2013)

Vincent Duchaine, Noémie Paradis, Thierry Laliberté, Boris Mayer-St-Onge, Clément Gosselin, Dalong Gao. 2013-03-05. « Photo-interrupter based force sensing handle and method of use ».

Clément Gosselin, Thierry Laliberté, Boris Mayer-St-Onge, Simon Foucault, Alexandre Lecours, Vincent Duchaine, Noémie Paradis, Dalong Gao, Roland Menassa. 2013. « A friendly beast of burden: A human-assistive robot for handling large payloads ». IEEE Robotics and Automation Magazine. vol. 20 , nº 4. p. 139-147.

A. Rana, Vincent Duchaine. 2013. « Improved Soft Dielectric for Highly Sensitive Capacitive Tactile Sensor ». 2013 IEEE International Conference on Robotics and Automation : Workshop on Research Frontiers in Electronic Skin Technology (Karlsruhe, Germany, May 6-10, 2013)

A. Rana, Vincent Duchaine. 2013. « Improved soft dielectric for highly sensitive capacitive tactile sensor ». Communication lors de la conférence : 2013 IEEE International Conference on Robotics and Automation ( Karlsruhe, Allemagne, May 6-10, 2013 )

Mohamad Forouzanfar, Saif Ahmad, Izmail Batkin, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic. 2013. « Coefficient-free blood pressure estimation based on pulse transit time-cuff pressure dependence ». IEEE Transactions on Biomedical Engineering. vol. 60 , nº 7. p. 1814-1824.

Jean-François Connolly, Eric Granger, Robert Sabourin. 2013. « Dynamic multi-objective evolution of classifier ensembles for video face recognition ». Applied Soft Computing Journal. vol. 13 , nº 6. p. 3149-3166.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2013. « Evolving classifier ensembles using dynamic multi-objective swarm intelligence ». Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (Barcelona, Spain, Feb. 15-18, 2013) p. 206-215. SciTePress.

M. De-la-Torre, Éric Granger, Robert Sabourin, D. O. Gorodnichy. 2013. « An Individual-Specific Strategy for Management of Reference Data in Adaptive Ensembles for Person Re-Identification ». 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013) (London, UK, Dec. 16-17, 2013) Stevenage, UK : IET.

M. Ali Akber Dewan, Éric Granger, F. Roli, Robert Sabourin, G. L. Marcialis. 2013. « Comparison of adaptive appearance methods for tracking faces in video surveillance ». 5th International Conference on Imaging for Crime Detection and Prevention, ICDP 2013 (London, UK, Dec. 16-17, 2013) Institution of Engineering and Technology.

George S. Eskander, Robert Sabourin, Éric Granger. 2013. « A dissimilarity-based approach for biometric fuzzy vaults - Application to handwritten signature images ». New Trends in Image Analysis and Processing - ICIAP 2013 International Workshops, Naples, Italy, September 9-13, 2013. Proceedings (Naples, Italy, Sept. 9-13, 2013) p. 95-102. Heidelberg, Germany : Springer Verlag.

George S. Eskander, Robert Sabourin, Eric Granger. 2013. « Dissimilarity representation for handwritten signature verification ». CEUR Workshop Proceedings (Washington D.C., USA, Aug. 22-23, 2013) p. 26-30. CEUR-WS.

George S. Eskander, Robert Sabourin, Éric Granger. 2013. « Hybrid writer-independent writer-dependent offline signature verification system ». IET Biometrics. vol. 2 , nº 4. p. 169-181.

George S. Eskander, Robert Sabourin, Éric Granger. 2013. « On the dissimilarity representation and prototype selection for signature-based bio-cryptographic systems ». Similarity-Based Pattern Recognition : Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings (York, UK, July 3-5, 2013) p. 265-280. Heidelberg, Germany : Springer Verlag.

George S. Eskander, Robert Sabourin, Eric Granger. 2013. « Towards automated transactions based on the offline handwritten signatures ». Machine Learning and Data Mining in Pattern Recognition : 1st WIPRA Workshop on Intelligent Pattern Recognition and Analysis : Poster and WIPRA Workshop Proceedings (New York, NY, USA, July 19-25, 2013) p. 141-150. Ibai Publishing.

Bassem S. Rabil, Robert Sabourin, Eric Granger. 2013. « Securing mass biometric templates using blockwise multi-resolution clustering watermarking ». Machine Learning and Data Mining in Pattern Recognition : 1st WIPRA Workshop on Intelligent Pattern Recognition and Analysis : Poster and WIPRA Workshop Proceedings (New York, NY, USA, July 19-25, 2013) p. 89-98. Ibai Publishing.

Bassem S. Rabil, Safa Tliba, Éric Granger, Robert Sabourin. 2013. « Securing high resolution grayscale facial captures using a blockwise coevolutionary GA ». Expert Systems with Applications. vol. 40 , nº 17. p. 6693-6706.

Paulo Radtke, Robert Sabourin, Dmitry Gorodnichy. 2013. « Adaptive ensemble selection for face re-identification under class imbalance ». Multiple Classifier Systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings (Nanjing, China, May 15-17, 2013) p. 95-108. Springer-Verlag.

Dominique Rivard, Éric Granger, Robert Sabourin. 2013. « Multi-feature extraction and selection in writer-independent off-line signature verification ». International Journal on Document Analysis and Recognition. vol. 16 , nº 1. p. 83-103.

Saeed Samet, Ali Miri, Éric Granger. 2013. « Incremental learning of privacy-preserving Bayesian networks ». Applied Soft Computing. vol. 13 , nº 8. p. 3657-3667.

E. Vellasques, Robert Sabourin, Éric Granger. 2013. « Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations ». Applied Soft Computing. vol. 13 , nº 6. p. 3130-3148.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2013. « DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams ». Expert Systems with Applications. vol. 40 , nº 13. p. 5240-5259.

Paulo Almeida, Luiz S. Oliveira, Eunelson Silva Jr, Alceu Britto Jr, Alessandro Koerich. 2013. « Parking space detection using textural descriptors ». 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, October 13, 2013 - October 16, 2013 (Manchester, UK, Oct. 13-16, 2013) p. 3603-3608. Manchester, United Kingdom : IEEE Computer Society.

Y. Costa, L. Oliveira, A. Koerich, F. Gouyon. 2013. « Music genre recognition based on visual features with dynamic ensemble of classifiers selection ». 2013 International Conference on Systems, Signals and Image Processing (IWSSIP), 7-9 July 2013 (Bucharest, Romania, July 7-9, 2013) p. 55-58. Piscataway, NJ, USA : IEEE.

Yandre Costa, Luiz Oliveira, Alessandro Koerich, Fabien Gouyon. 2013. « Music genre recognition using gabor filters and LPQ texture descriptors ». 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, November 20, 2013 - November 23, 2013 (Havana, Cuba, Nov. 20-23, 2013) p. 67-74. Havana, Cuba : Springer Verlag.

Alessandro L. Koerich. 2013. « Improving the reliability of music genre classification using rejection and verification ». Proceedings of the 14th International Society for Music Information Retrieval, ISMIR 2013 (Curitiba, Brasil, Nov. 4-8, 2013) p. 511-516.

Andreia Marini, Jacques Facon, Alessandro L. Koerich. 2013. « Bird species classification based on color features ». 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, October 13, 2013 - October 16, 2013 (Manchester, UK, Oct. 13-16, 2013) p. 4336-4341. IEEE Computer Society.

Andréia Marini, Alessandro L. Koerich, Irapuru H. Florido. 2013. « Classificação de espécies de pássaros utilizando características de textura ». X Encontro Nacional de Inteligencia Artificial e Computacional (ENIAC) (Fortaleza, Ceara, Brasil, Oct. 20-24, 2013)

R. Ribeiro, F. Favarim, M. A. C. Barbosa, A. L. Koerich, F. Enembreck. 2013. « Combining learning algorithms: An approach to Markov decision processes ». Enterprise Information Systems : 14th International Conference, ICEIS 2012, Wroclaw, Poland, June 28 - July 1, 2012, Revised Selected Papers (Wroclaw, Poland, June 28-July 01, 2012) p. 172-188. Springer Verlag.

R. A. Seger, M. M. Wanderley, A. L. Koerich. 2013. « Detecçao de movimentos auxiliares de clarinetistas atraves de visao computacional ». 14th SBCM - Brazilian Symposium on Computer Music 2013, Proceedings (Brazilia, Brasil, Oct. 31-Nov. 2, 2013) p. 117-126.

Hideson Alves da Silva, Alceu de Souza Britto Jr, Luiz Eduardo Soares de Oliveira, Alessandro L. Koerich. 2013. « Network infrastructure design with a multilevel algorithm ». Expert Systems with Applications. vol. 40 , nº 9. p. 3471-3480.

Thiago H. H. Zavaschi, Alceu S. Britto Jr, Luiz E. S. Oliveira, Alessandro Koerich L.. 2013. « Fusion of feature sets and classifiers for facial expression recognition ». Expert Systems with Applications. vol. 40 , nº 2. p. 646-655.

R. M. O. Cruz, G. D. C. Cavalcanti, Tsang Ing Ren, Robert Sabourin. 2013. « Feature representation selection based on Classifier Projection Space and Oracle analysis ». Expert Systems with Applications. vol. 40 , nº 9. p. 3813-3827.

Marc Castelló, Jordi Gonzàlez, Ariel Amato, Pau Baiget, Carles Fernández, Josep M. Gonfaus, Ramón A. Mollineda, Marco Pedersoli, Nicolás Pérez de la Blanca, F. Xavier Roca. 2013. « Exploiting multimodal interaction techniques for video-surveillance ». In Multimodal interaction in image and video applications Coll. «Intelligent systems reference library», . p. 135-151. Springer Berlin Heidelberg.

Gurman Gill, Matthew Toews, Reinhard R. Beichel. 2013. « An automated initialization system for robust model-based segmentation of lungs in CT data ». The Fifth International Workshop on Pulmonary Image Analysis (Nagoya, Japan, Sept. 26, 2013) p. 111-122. MICCAI.

Aditya Gupta, Matthew Toews, Ravikiran Janardhana, Yogesh Rathi, John Gilmore, Maria Escolar, Martin Styner. 2013. « Fiber feature map based landmark initialization for highly deformable DTI registration ». Proceedings of SPIE 8669, Medical Imaging 2013: Image Processing (Orlando, FL, USA, Mar. 13, 2013) p. 866907-866907.

Matthew Toews, Chang-Sheng Mei, Renxin Chu, W. Scott Hoge, Benjamin M. Schwarts, Guangyu Wang, Lawrence P. Panych, Bruno Madore. 2013. « Boosting MR temporal resolution using rapid ultrasound measurements for motion tracking purposes ». Communication lors de la conférence : ISMRM 21st Annual Meeting and Exhibition ( Salt Lake City, UT, USA, Apr. 20-26, 2013 )

Matthew Toews, William M. Wells III. 2013. « Efficient and robust model-to-image alignment using 3D scale-invariant features ». Medical Image Analysis. vol. 17 , nº 3. p. 271-282.

Matthew Toews, Lilla Zöllei, William M. Wells. 2013. « Feature-based alignment of volumetric multi-modal images ». Information processing in medical imaging : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings (Asilomar, CA, USA, June 28–July 3, 2013) p. 25-36. Springer Berlin Heidelberg.

Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li. 2012. « Global assessment of cardiac function using image statistics in MRI ». Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012. Proceedings 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Berlin, Germany, Oct. 1-5, 2012) p. 535-543. Springer Verlag.

Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian Ross, Terry Peters, Shuo Li. 2012. « Estimation of the cardiac ejection fraction from image statistics ». 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Proceedings (Barcelona, Spain, May 2-5, 2012) p. 824-827. IEEE Computer Society.

Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian Ross, Shuo Li. 2012. « Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure ». Medical Image Analysis. vol. 16 , nº 1. p. 87-100.

Ismail Ben Ayed, Kumaradevan Punithakumar, Rashid Minhas, Rohit Joshi, Gregory J. Garvin. 2012. « Vertebral body segmentation in MRI via convex relaxation and distribution matching ». Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I (Berlin, Germany, Oct. 1-5, 2012) p. 520-527. Springer Verlag.

M. Ben Salah, I. Ben Ayed, J. Yuan, Z. Wang, H. Zhang. 2012. « Convex relaxation for image segmentation by kernel mapping ». 2012 19th IEEE International Conference on Image Processing (ICIP 2012) (Orlando, FL, USA, Sept. 30-Oct. 3, 2012) p. 289-292. IEEE.

Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche. 2012. « Active curve recovery of region boundary patterns ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 34 , nº 5. p. 834-849.

Shuo Li, Ismail Ben Ayed, Ian Ross, Richard Rankin. 2012-03-27. « Systems and methods for tracking images ».

Brandon Miles, Max W. K. Law, Ismail Ben-Ayed, Greg Garvin, Aaron Fenster, Shuo Li. 2012. « Pixel level image fusion for medical imaging: An energy minimizing approach ». Progress in Biomedical Optics and Imaging (San Diego, CA, USA, Feb. 7-9, 2012) p. 83151-1. SPIE.

Ines Njeh, Ismail Ben Ayed, Ahmed Ben Hamida. 2012. « A distribution-matching approach to MRI brain tumor segmentation ». 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Proceedings (Barcelona, Spain, May 2-5, 2012) p. 1707-1710. IEEE Computer Society.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li. 2012. « Regional heart motion abnormality detection via multiview fusion ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Nice, France, Oct. 1-5, 2012) p. 527-534. Springer Verlag.

Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov. 2012. « A convex max-flow approach to distribution-based figure-ground separation ». SIAM Journal on Imaging Sciences. vol. 5 , nº 4. p. 1333-1354.

Patrick Cardinal, Gilles Boulianne, Pierre Dumouchel. 2012. « The A* speech recognition system on parallel architectures ». 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) (Montreal, QC, Canada, July 2-5, 2012) p. 108-113. Washington, DC : IEEE Computer Society.

Patrick Cardinal, Gilles Boulianne, Pierre Dumouchel. 2012. « Using A* for the parallelization of speech recognition systems ». 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Kyoto, Japan, Mar. 25-30, 2012) p. 4433-4436. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..

Vishwa Nath Gupta, Gilles Boulianne, Patrick Cardinal. 2012. « CRIM’s content-based audio copy detection system for TRECVID 2009 ». Multimedia Tools and Applications. vol. 60 , nº 2. p. 371-387.

Tarik Boukhalfi, Christian Desrosiers, Eric Paquette. 2012. « A machine learning approach to automate facial expressions from physical activity ». Affiche présentée lors de la conférence : Grand 2012 Conference ( Montréal, QC, Canada, May 2-4, 2012 )

Jonathan Hadida, Christian Desrosiers, Luc Duong. 2012. « Stochastic 3D motion compensation of coronary arteries from monoplane angiograms ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I (Nice, France, Oct. 1-5, 2012) p. 651-658. Berlin, Germany : Springer Verlag.

Faten M'Hiri, Luc Duong, Christian Desrosiers. 2012. « Combining Laplacian eigenmaps and vesselness filters for vessel segmentation in X-ray angiography ». 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Providence, RI, USA, June 16-21, 2012) p. 70-75. Piscataway, N.J. : IEEE Computer Society.

Jean-Philippe Morin, Christian Desrosiers, Luc Duong. 2012. « A random walk approach for multiatlas-based segmentation ». 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012) p. 3636-3639. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..

Jean-Philippe Morin, Christian Desrosiers, Luc Duong. 2012. « Atlas-based segmentation of brain magnetic resonance imaging using random walks ». 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Providence, RI, USA, June 16-21, 2012) p. 44-49. Piscataway, N.J. : IEEE Computer Society.

Jean-Philippe Morin, Christian Desrosiers, Luc Duong. 2012. « Image segmentation using random-walks on the histogram ». Medical Imaging 2012: Image Processing (San Diego, CA, USA, Feb. 6-9, 2012) SPIE.

J. B. Chossat, J. W. Park, R. J. Wood, Vincent Duchaine. 2012. « A Soft Elastomer Strain Sensor Based on an EGaIn/Ionic Solution Hybrid Construction ». ATBio: Workshop on smart materials and alternative technologies for bio-inspired robots and systems part of IEEE/RSJ International Conference on Intelligent Robots and Systems (Vilamoura, Portugal, Oct. 7-12, 2012)

J-B. Chossat, Y-L. Park, R.J. Wood, Vincent Duchaine. 2012. « A soft elastomer strain sensor based on an EGaln/ionic solution hybrid construction ». Communication lors de la conférence : IEEE International Conference on Intelligent Robots and Systems ( Vilamoura, Portugal, Oct. 1-12, 2012 )

V. Duchaine, B. Mayer St.-Onge, Gao Dalong, C. Gosselin. 2012. « Stable and intuitive control of an intelligent assist device ». IEEE Transactions on Haptics. vol. 5 , nº 2. p. 148-159.

Mohamad Forouzanfar, Balakumar Balasingam, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic, Sreeraman Rajan, Emil M. Petriu. 2012. « Mathematical modeling and parameter estimation of blood pressure oscillometric waveform ». IEEE Symposium on Medical Measurements and Applications (MeMeA) (Budapest, Hungary, May 18-19, 2012) p. 208-213. IEEE Computer Society.

L. Batista, E. Granger, R. Sabourin. 2012. « Dynamic selection of generative-discriminative ensembles for off-line signature verification ». Pattern Recognition. vol. 45 , nº 4. p. 1326-1340.

J. F. Connolly, E. Granger, R. Sabourin. 2012. « Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition ». Pattern Recognition. vol. 45 , nº 7. p. 2460-2477.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2012. « An adaptive classification system for video-based face recognition ». Information Sciences. vol. 192 p. 50-70.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2012. « On the correlation between genotype and classifier diversity ». 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012) p. 1068-1071. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..

M. De-la-Torre, Éric Granger, P. V. W. Radtke, Robert Sabourin, D. O. Gorodnichy. 2012. « Incremental update of biometric models in face-based video surveillance ». The 2012 International Joint Conference on Neural Networks (IJCNN) (Brisbane, Australia, June 10-15, 2012) Piscataway, NJ, USA : IEEE.

M. De-la-Torre, P. V. W. Radtke, Éric Granger, Robert Sabourin, D. O. Gorodnichy. 2012. « A comparison of adaptive matchers for screening of faces in video surveillance ». 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA) (Ottawa, ON, Canada, July 11-13, 2012) Piscataway, NJ, USA : IEEE.

George S. Eskander, Robert Sabourin, Éric Granger. 2012. « Adaptation of writer-independent systems for offline signature verification ». 2012 International Conference on Frontiers in Handwriting Recognition (ICFHR) (Bari, Italy, Sept.18-20, 2012) p. 434-439. Los Alamitos, CA : IEEE Computer Society.

Éric Granger, W. Khreich, Robert Sabourin, D. O. Gorodnichy. 2012. « Fusion of biometric systems using Boolean combination: an application to iris-based authentication ». International Journal of Biometrics. vol. 4 , nº 3. p. 291-315.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2012. « A survey of techniques for incremental learning of HMM parameters ». Information Sciences. vol. 197 p. 105-130.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2012. « Adaptive ROC-based ensembles of HMMs applied to anomaly detection ». Pattern Recognition. vol. 45 , nº 1. p. 208-230.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2012. « Graphical EM for on-line learning of grammatical probabilities in radar electronic support ». Applied Soft Computing. vol. 12 , nº 8. p. 2362-2378.

Gian Luca Marcialis, Luca Didaci, Alessandro Pisano, Éric Granger, Fabio Roli. 2012. « Why template self-update should work in biometric authentication systems? ». 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) (Montreal, QC, Canada, July 2-5, 2012) p. 1086-1091. Washington, DC : IEEE Computer Society.

Christophe Pagano, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy. 2012. « Detector ensembles for face recognition in video surveillance ». The 2012 International Joint Conference on Neural Networks (IJCNN) (Brisbane, Australia, June 10-15, 2012) Piscataway, N.J. : Institute of Electrical and Electronics Engineers Inc..

Paulo V. W. Radtke, Éric Granger, Robert Sabourin, Dmitry Gorodnichy. 2012. « Adaptive selection of ensembles for imbalanced class distributions ». 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012) p. 2980-2984. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..

Ajita Rattani, Gian Luca Marcialis, Éric Granger, Fabio Roli. 2012. « A dual-staged classification-selection approach for automated update of biometric templates ». 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012) p. 2972-2975. Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2012. « Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems ». GECCO'12 : Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference (Philadelphia, PA, USA, July 7-11, 2012) p. 73-80. New York, N.Y. : Association for Computing Machinery.

Y. M. G. Costa, L. S. Oliveira, A. L. Koerich, F. Gouyon, J. G. Martins. 2012. « Music genre classification using LBP textural features ». Signal Processing. vol. 92 , nº 11. p. 2723-2737.

Yandre M. G. Costa, Luiz S. Oliveira, Alessandro L. Koerich, Fabien Gouyon. 2012. « Comparing textural features for music genre classification ». 2012 Annual International Joint Conference on Neural Networks, IJCNN 2012, Part of the 2012 IEEE World Congress on Computational Intelligence, WCCI 2012, June 10, 2012 - June 15, 2012 (Brisbane, Australia, June 10-15, 2012) p. 1867-1872. Brisbane, QLD, Australia : Institute of Electrical and Electronics Engineers Inc..

F. Dittrich, A. L. Koerich, L. E. S. Oliveira. 2012. « People counting in crowded scenes using multiple cameras ». 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP) (Vienna, Austria, Apr. 11-13, 2012) p. 138-141.

P. R. Lisboa de Almeida, A. de Souza Britto, E. J. da Silva Junior, L. E. Soares de Oliveira, T. Montes Celinski, A. L. Koerich. 2012. « Music genre classification using dynamic selection of ensemble of classifiers ». 2012 IEEE International Conference on Systems, Man and Cybernetics (SMC2012). Proceedings (Seoul, South Korea, Oct. 14-17, 2012) p. 2700-2705. Piscataway, NJ, USA : IEEE.

R. Ribeiro, F. Favarim, M. A. C. Barbosa, A. Pinz Borges, O. Betazzi Dordal, A. L. Koerich, F. Enembreck. 2012. « Unified algorithm to improve reinforcement learning in dynamic environments an instance-based approach ». ICEIS 2012. 14th International Conference on Enterprise Information Systems. Proceedings (Wroclaw, Poland, June 28-July 1, 2012) p. 229-238. Setubal, Portugal : INSTICC Press.

Marco Pedersoli. 2012. « Hierarchical multiresolution models for fast object detection ». Thèse de doctorat. Barcelona , Universitat Autònoma de Barcelona

Bruno Madore, Matthew Toews, Chan-Sheng Mei, Renxin Chu, W. Scott Hoge, Lawrence P. Panych. 2012. « Strategy for simultaneous region-tracking and temperature-monitoring in the liver during free-breathing ». Affiche présentée lors de la conférence : The International Society for Magnetic Resonance in Medicine 20th Scientific Meeting & Exhibition ( Melbourne, Australia, May 5-11, 2012 ) p. 1576.

Matthew Toews, William M. Wells III, Lilla Zöllei. 2012. « A feature-based developmental model of the infant brain in structural MRI ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Nice, France, Oct. 1-5, 2012) p. 204-211. Springer Berlin Heidelberg.

Mariam Afshin, Ismail Ben Ayed, Ali Islam, Ian Ross, Terry Peters, Shuo Li. 2011. « Variational level-set segmentation and tracking of left ventricle using field prior ». Progress in Biomedical Optics and Imaging (Lake Buena Vista, FL, USA, Feb. 14-16, 2011) SPIE.

Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian Ross, Terry Peters, Shuo Li. 2011. « Assessment of regional myocardial function via statistical features in MR images ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III (Toronto, ON, Canada, Sept. 18-22, 2011) p. 107-114. Springer Verlag.

Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory Garvin, Walter Romano, Shuo Li. 2011. « Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation ». Information Processing in Medical Imaging. 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings (Kloster Irsee, Germany, July 3-8, 2011) p. 221-232. Springer Verlag.

Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed. 2011. « Multiregion image segmentation by parametric kernel graph cuts ». IEEE Transactions on Image Processing. vol. 20 , nº 2. p. 545-557.

Amar Mitiche, Ismail Ben Ayed. 2011. « Variational and level set methods in image segmentation ». Springer Berlin Heidelberg. 190 p.

M. S. Nambakhsh, Kumaradevan Punithakumar, Ismail Ben Ayed, Aashish Goela, Ali Islam, Terry Peters, Shuo Li. 2011. « A neural network learned information measures for heart motion abnormality detection ». Progress in Biomedical Optics and Imaging (Lake Buena Vista, FL, USA, Feb. 14-16, 2011) SPIE.

Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry Peters, Shuo Li. 2011. « A convex max-flow segmentation of LV using subject-specific distributions on cardiac MRI ». Information Processing in Medical Imaging. 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings (Kloster Irsee, Germany, July 3-8, 2011) p. 171-183. Springer Verlag.

Christian Desrosiers, Philippe Galinier, Alain Hertz, Pierre Hansen. 2011. « Improving constrained pattern mining with first-fail-based heuristics ». Data Mining and Knowledge Discovery. vol. 23 , nº 1. p. 63-90.

Christian Desrosiers, George Karypis. 2011. « A Comprehensive Survey of Neighborhood-based Recommendation Methods ». In Recommender systems handbook Coll. «Computer Science», . p. 107-144. Springer.

Jonathan Hadida, Christian Desrosiers, Luc Duong. 2011. « Intensity-based hierarchical clustering in CT-scans : application to interactive segmentation in cardiology ». Medical Imaging : Visualization, Image-Guided Procedures, and Modeling (Lake Buena Vista, FL, USA, Feb. 13-15, 2011) Bellingham, WA, USA : SPIE - The International Society for Optical Engineering.

Daniel Aukes, Barrett Heyneman, Vincent Duchaine, Mark R. Cutkosky. 2011. « Varying spring preloads to select grasp strategies in an adaptive hand ». IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (San Francisco, CA, USA, Sept. 25-30, 2011) p. 1373-1379. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Vincent Duchaine, Clément Gosselin. 2011. « Unified robot control scheme for cooperative motion, autonomous motion and contact reaction ». Journal of Robotics and Mechatronics. vol. 23 , nº 4. p. 557-566.

B. Balasingam, M. Forouzanfar, M. Bolic, H. Dajani, V. Groza, S. Rajan. 2011. « Arterial blood pressure parameter estimation and tracking using particle filters ». IEEE International Symposium on Medical Measurements and Applications (Bari, Italy, May 30-31, 2011) p. 473-476. IEEE.

Mohamad Forouzanfar, Hamid Abrishami-Moghaddam. 2011. « Ultrasound speckle reduction in the complex wavelet domain ». In Principles of Waveform Diversity and Design . p. 558-577. Institution of Engineering and Technology.

Mohamad Forouzanfar, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic, Sreeraman Rajan. 2011. « Feature-based neural network approach for oscillometric blood pressure estimation ». IEEE Transactions on Instrumentation and Measurement. vol. 60 , nº 8. p. 2786-2796.

Azar Tolouee, Hamid Abrishami Moghaddam, Mohamad Forouzanfar, Masumeh Gity, Rahil Garnavi. 2011. « Image based diagnostic aid system for interstitial lung diseases ». Expert Systems with Applications. vol. 38 , nº 6. p. 7755-7765.

Luana Batista, Éric Granger, Robert Sabourin. 2011. « Dynamic ensemble selection for off-line signature verification ». 10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011) p. 157-166. Germany : Springer Verlag.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2011. « Comparing dynamic PSO algorithms for adapting classifier ensembles in video-based face recognition ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011) p. 1-8. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

George S. Eskander, Robert Sabourin, Éric Granger. 2011. « Signature based Fuzzy Vaults with boosted feature selection ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011) p. 131-138. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Dmitry O. Gorodnichy, Elan Dubrofsky, Richard Hoshino, Wael Khreich, Éric Granger, Robert Sabourin. 2011. « Exploring the upper bound performance limit of iris biometrics using score calibration and fusion ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011) p. 54-61. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2011. « Incremental boolean combination of classifiers ». 10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011) p. 340-349. Germany : Springer Verlag.

Richard Lepage, Éric Granger. 2011. « Méthodes d'évaluation de l'achalandage du quartier des spectacles : étape 1 : revue de documentation ». Montréal, Canada. «Rapport technique (École de technologie supérieure)» École de technologie supérieure. 41 p.

Samuel Nault, Thierry Blaise, Tasse Fotso, Richard Lepage, Éric Granger. 2011. « Dénombrement de foule lors d’événements au quartier des spectacles de Montréal ». 79e Congrès de l'ACFAS (Sherbrooke, Canada, 9-13 mai 2011)

Bassem S. Rabil, Robert Sabourin, Éric Granger. 2011. « Impact of watermarking on offline signature verification in intelligent bio-watermarking systems ». IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011) p. 13-20. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Bassem S. Rabil, Robert Sabourin, Éric Granger. 2011. « Watermarking stack of grayscale face images as dynamic multi-objective optimization problem ». International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (New York, NY, USA, Aug. 30-Sept. 3, 2011) p. 63-77. Germany : IbaI Publishing.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2011. « A high throughput system for intelligent watermarking of bi-tonal images ». Applied Soft Computing. vol. 11 , nº 8. p. 5215-5229.

Y.M.G. Costa, F. Gouyon, A. L. Koerich, L.E.S. Oliveira. 2011. « Classificaçao de gêneros musicais por texturas no espaço de frequência ». XXXVIII Seminário Integrado de Software e Hardware (SEMISH 2011) (Natal, Brasil, July, 2010) p. 1352-1365.

Yandre M. G. Costa, Luiz S. Oliveira, Alessandro L. Koerich, Fabien Gouyon. 2011. « Music genre recognition using spectrograms ». 2011 18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011, June 16, 2011 - June 18, 2011 (Sarajevo, Bosnia and Herzegovina, June 16-18, 2011) p. 151-154. IEEE Computer Society.

M. T. Lopes, C. A. A. Kaestner, C. N. Silla Jr., A. L. Koerich. 2011. « Identificação automática de espécies de pássaros a partir da análise do canto ». 13th Brazilian Symposium on Computer Music (SBCM) (Vitoria, Brasil, Aug. 31-Sept. 3, 2011) p. 1-4.

M. T. Lopes, A. Lameiras Koerich, C. Jnr Nascimento Silla, C. A. Alves Kaestner. 2011. « Feature set comparison for automatic bird species identification ». 2011 IEEE International Conference on Systems, Man and Cybernetics, 9-12 Oct. 2011 (Anchorage, AK, USA, Oct. 9-12, 2011) p. 965-970. Piscataway, NJ, USA : IEEE.

Marcelo T. Lopes, Lucas L. Gioppo, Thiago T. Higushi, Celso A. A. Kaestner, Carlos N. Silla Jr, Alessandro L. Koerich. 2011. « Automatic bird species identification for large number of species ». Proceedings - 2011 IEEE International Symposium on Multimedia, ISM 2011 (Dana Point, CA, USA, Dec. 5-7, 2011) p. 117-122. Dana Point, CA, USA : IEEE Computer Society.

M. Mansano, L. Pavesi, L. S. Oliveira, A. Britto Jr, A. Koerich. 2011. « Inspection of metallic surfaces using Local Binary Patterns ». 37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011, November 7, 2011 - November 10, 2011 (Melbourne, VIC, Australia, Nov. 7-10, 2011) p. 2227-2231. Melbourne, VIC, Australia : IEEE Computer Society.

L. Oliveira, A. L. Koerich, M. Mansano, A. S. Britto. 2011. « 2D principal component analysis for face and facial-expression recognition ». Computing in Science & Engineering. vol. 13 , nº 3. p. 9-13.

Israel Rios, Alceu de Souza Britto Jr., Alessandro Lameiras Koerich, Luis Eduardo Soares Oliveira. 2011. « An OCR free method for word spotting in printed documents: the evaluation of different features sets ». Journal of Universal Computer Science. vol. 17 , nº 1. p. 48-63.

C. N. Silla Jr., C. A. A. Kaestner, A. L. Koerich. 2011. « Classificação de gêneros musicais utilizando vetores de característica híbridos ». 13th Brazilian Symposium on Computer Music (SBCM) (Vitoria, Brasil, Aug. 31-Sept. 3, 2011) p. 32-44.

H. A. Silva, A. S. Britto, L. E. S. Oliveira, A. L. Koerich. 2011. « A multilevel algorithm for the network design problem ». IECON 2011 - 37th Annual Conference of IEEE Industrial Electronics, 7-10 Nov. 2011 p. 2300-2304. Piscataway, NJ, USA : IEEE.

T. H. H. Zavaschi, A. L. Koerich, L. E. S. Oliveira. 2011. « Facial expression recognition using ensemble of classifiers ». ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Prague, Czech Republic, May 22-27, 2011) p. 1489-1492. Institute of Electrical and Electronics Engineers Inc..

Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren. 2011. « A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence ». International Joint Conference on Neural Networks (San Jose, CA, USA, July 31-Aug. 05, 2011) p. 1126-1133. IEEE.

Rafael Menelau Oliveira E. Cruz. 2011. « Methods for dynamic selection and fusion of ensemble of classifiers ». Mémoire de maîtrise. Brésil , Universidade Federal de Pernambuco

Marco Pedersoli, Jordi Gonzlez, Andrew D. Bagdanov, Xavier Roca. 2011. « Efficient discriminative multiresolution cascade for real-time human detection applications ». Pattern Recognition Letters. vol. 32 , nº 13. p. 1581-1587.

Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez. 2011. « A coarse-to-fine approach for fast deformable object detection ». 2011 IEEE Conference on Computer Vision and Pattern Recognition (Colorado Springs, CO, USA, June 20-25, 2011) p. 1353-1360. IEEE Computer Society.

Marco Pedersoli, Andrea Vedaldi, Jordi Gonzàlez. 2011. « A coarse-to-fine approach for fast deformable object detection ». Communication lors de la conférence : 2011 IEEE Conference on Computer Vision and Pattern Recognition ( Colorado Springs, CO, USA, June 20-25, 2011 )

Nataliya Shapovalova, Wenjuan Gong, Marco Pedersoli, Francesc Xavier Roca, Jordi Gonzàlez. 2011. « On importance of interactions and context in human action recognition ». Pattern Recognition and Image Analysis : 5th Iberian Conference, IbPRIA 2011, Las Palmas de Gran Canaria, Spain, June 8-10, 2011 : Proceedings (Las Palmas de Gran Canaria, Spain, June 08-10, 2011) p. 58-66. Springer Verlag.

Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel. 2011. « Exploring cortical folding pattern variability using local image features ». Medical computer vision. Recognition techniques and applications in medical imaging : International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers (Beijing, China, Sept. 20, 2010) p. 43-53. Springer Berlin Heidelberg.

P. Radtke, R. Sabourin, T. Wong. 2011. « Impact of classifier prototyping on classification systems optimization ». VIIth Workshop on Computer Vision (Curitiba, Brazil, May 22-25, 2011) p. 312-317.

Ismail Ben Ayed, Chen Hua-mei, Kumaradevan Punithakumar, Ian Ross, Shuo Li. 2010. « Graph cut segmentation with a global constraint: recovering region distribution via a bound of the Bhattacharyya measure ». 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010) p. 3288-3295. IEEE.

Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, Shuo Li. 2010. « Finding image distributions on active curves ». 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010) p. 3225-3232. IEEE.

M. Ben Salah, A. Mitiche, I. Ben Ayed. 2010. « Image partitioning with kernel mapping and graph cuts ». 2010 Proceedings of 17th IEEE International Conference on Image Processing (ICIP 2010) (Hong Kong, China, Sept. 26-29, 2010) p. 245-248. IEEE.

Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed. 2010. « Effective level set image segmentation with a kernel induced data term ». IEEE Transactions on Image Processing. vol. 19 , nº 1. p. 220-232.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li. 2010. « Regional heart motion abnormality detection via information measures and unscented Kalman filtering ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I (Beijing, China, Sept. 20-24, 2010) p. 409-417. Springer Verlag.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li. 2010. « Tracking endocardial motion via multiple model filtering ». IEEE Transactions on Biomedical Engineering. vol. 57 , nº 8. p. 2001-2010.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong, Shuo Li. 2010. « Detection of left ventricular motion abnormality via information measures and Bayesian filtering ». IEEE Transactions on Information Technology in Biomedicine. vol. 14 , nº 4. p. 1106-1113.

Gilles Boulianne, Jean-François Beaumont, Maryse Boisvert, Julie Brousseau, Patrick Cardinal, Claude Chapdelaine, Michel Comeau, Pierre Ouellet, Frédéric Osterrath, Pierre Dumouchel. 2010. « Shadow speaking for real-time closed-captioning of TV broadcasts in french ». In Listening to subtitles : subtitles for the deaf and hard of hearing . Peter Lang International Academic Professional Publishers.

Patrick Cardinal, Vishwa Gupta, Gilles Boulianne. 2010. « Content-based advertisement detection ». INTERSPEECH 2010. 11th Annual Conference of the International Speech Communication Association (Chiba, Makuhari, Japan, Sept. 26-30, 2010) p. 2214-2217. International Speech Communication Association.

Vishwa Gupta, Gilles Boulianne, Patrick Cardinal. 2010. « CRIM's content-based audio copy detection system for TRECVID 2009 ». 2010 International Workshop on Content-Based Multimedia Indexing (CBMI) (Grenoble, France, June 23-25, 2010) IEEE.

Vishwa Gupta, Gilles Boulianne, Patrick Cardinal. 2010. « Content-based audio copy detection using nearest-neighbor mapping ». 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) (Dallas, TX, USA, Mar. 14-19, 2010) p. 261-264. IEEE.

Christian Desrosiers, George Karypis. 2010. « A novel approach to compute similarities and its application to item recommendation ». 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI) : Trends in Artificial Intelligence (Daegu, Korea, Aug. 30-Sept. 2, 2010) p. 39-51. Berlin, Germany : Springer Berlin / Heidelberg.

Christian Desrosiers, George Karypis. 2010. « Enhancing link-based similarity through the use of non-numerical labels and prior information ». Proceedings of the Eighth Workshop on Mining and Learning with Graphs (Washington, D.C., USA, July 24-25, 2010) p. 26-33. New York, NY, USA : Association for Computing Machinery.

Vincent Duchaine, Nicolas Lauzier, Clément Gosselin. 2010. « On the design of human-safe robot manipulators ». In Robot manipulators : new achievements . p. 419-434. InTech.

Marc-André Lacasse, Vincent Duchaine, Clément Gosselin. 2010. « Characterization of the electrical resistance of carbon-black-filled silicone : application to a flexible and stretchable robot skin ». IEEE International Conference on Robotics and Automation (ICRA) (Anchorage, AK, USA, May, 3-7 2010) p. 4842-4848. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Martin J. D. Otis, Vincent Duchaine, Greg Billette, Simon Perreault, Clément Gosselin, Denis laurendeau. 2010. « Cartesian control of a cable-driven haptic mechanism ». In Advances in Haptics . p. 75-102. InTech.

Armin Eftekhari, Mohamad Forouzanfar, Hamid Abrishami Moghaddam, Javad Alirezaie. 2010. « Block-wise 2D kernel PCA/LDA for face recognition ». Information Processing Letters. vol. 110 , nº 17. p. 761-766.

M. Forouzanfar, H. Abrishami-Moghaddam, M. Dehghani. 2010. « A new effective approach for enhancement of SAR images based on extraction of interscale dependencies in the wavelet domain ». Geosciences. vol. 19 , nº 76. p. 9-16.

M. Forouzanfar, H. R. Dajani, V. Z. Groza, M. Bolic, S. Rajan. 2010. « Comparison of feed-forward neural network training algorithms for oscillometric blood pressure estimation ». 4th International Workshop on Soft Computing Applications (SOFA) (Arad, Romania, July 15-17, 2010) p. 119-123. Piscataway, NJ, USA : IEEE.

Mohamad Forouzanfar, Hamid Abrishami Moghaddam, Masoumeh Gity. 2010. « A new multiscale Bayesian algorithm for speckle reduction in medical ultrasound images ». Signal, Image and Video Processing. vol. 4 , nº 3. p. 359-375.

Mohamad Forouzanfar, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic, Sreeraman Rajan. 2010. « Adaptive neuro-fuzzy inference system for oscillometric blood pressure estimation ». IEEE International Workshop on Medical Measurements and Applications (MeMeA) (Ottawa, ON, Canada, Apr. 30 - May 01, 2010) p. 125-129. IEEE Computer Society.

Mohamad Forouzanfar, Nosratallah Forghani, Mohammad Teshnehlab. 2010. « Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation ». Engineering Applications of Artificial Intelligence. vol. 23 , nº 2. p. 160-168.

Luana Batista, Éric Granger, Robert Sabourin. 2010. « A multi-classifier system for off-line signature verification based on dissimilarity representation ». 9th International Workshop on Multiple Classifier Systems (MCS) (Cairo, Egypt, Apr. 7-9, 2010) p. 264-273. Berlin, Germany : Springer Verlag.

Luana Batista, Éric Granger, Robert Sabourin. 2010. « Applying dissimilarity representation to off-line signature verification ». 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010) p. 1293-1297. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.

Luana Batista, Éric Granger, Robert Sabourin. 2010. « Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach ». International Journal on Document Analysis and Recognition. vol. 13 , nº 1. p. 33-47.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2010. « An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification ». IEEE Congress on Evolutionary Computation (Barcelona, Spain, July 18-23, 2010) Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Éric Granger, Philippe Henniges, Robert Sabourin, Luis S. Oliveira. 2010. « Match tracking strategies for fuzzy ARTMAP neural networks ». In Handbook of Pattern Recognition and Computer Vision . 4th ed.. p. 73-100. World Scientific Publishing.

Éric Granger, D. Prieur, Jean-François Connolly. 2010. « Evolving ARTMAP neural networks using multi-objective particle swarm optimization ». IEEE World Congress on Evolutionary Computation (WCCI) (Barcelona, Spain, July 18-23, 2010) Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2010. « Boolean combination of classifiers in the ROC space ». 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010) p. 4299-4303. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2010. « Iterative Boolean combination of classifiers in the ROC space : an application to anomaly detection with HMMs ». Pattern Recognition. vol. 43 , nº 8. p. 2732-2752.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2010. « On the memory complexity of the forward-backward algorithm ». Pattern Recognition Letters. vol. 31 , nº 2. p. 91-99.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2010. « Fast learning of grammar production probabilities in radar electronic support ». IEEE Transactions on Aerospace and Electronic Systems. vol. 46 , nº 3. p. 1262-1289.

Bassem S. Rabil, Robert Sabourin, Éric Granger. 2010. « Intelligent watermarking with multi-objective population based incremental learning ». 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (Darmstadt, Germany, Oct. 15-17, 2010) p. 131-134. Los Alamitos, CA : Institute of Electrical and Electronics Engineers Computer Society.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2010. « Intelligent watermarking of document images as a dynamic optimization problem ». 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (Darmstadt, Germany, Oct. 15-17, 2010) p. 139-142. Los Alamitos, CA : Institute of Electrical and Electronics Engineers Computer Society.

Eduardo Vellasques, Éric Granger, Robert Sabourin. 2010. « Intelligent watermarking systems : a survey ». In Handbook of Pattern Recognition and Computer Vision . 4th ed.. p. 687-724. World Scientific Publishing.

A. L. Koerich, A. de S Britto, L. E. S. de Oliveira. 2010. « Verification of unconstrained handwritten words at character level ». Proceedings 2010 12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010) (Kolkata, India, Nov. 16-18, 2010) p. 39-44. Los Alamitos, CA, USA : IEEE Computer Society.

Alessandro L. Koerich, Luiz Eduardo Soares de Oliveira, Alceu S. Britto Jr.. 2010. « Face recognition using selected 2DPCA coefficients ». IWSSIP 2010 - 17th International Conference on Systems, Signals and Image Processing (Rio de Janeiro, Brazil, June 17-19, 2010) p. 490-494.

Thomas Lidy, Carlos N. Silla Jr, Olmo Cornelis, Fabien Gouyon, Andreas Rauber, Celso A. A. Kaestner, Alessandro L. Koerich. 2010. « On the suitability of state-of-the-art music information retrieval methods for analyzing, categorizing and accessing non-Western and ethnic music collections ». Signal Processing. vol. 90 , nº 4. p. 1032-1048.

Miguel Lopes, Fabien Gouyon, Alessandro L. Koerich, Luiz E. S. Oliveira. 2010. « Selection of training instances for music genre classification ». Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (Istanbul, Turkey, Aug. 23-26, 2010) p. 4569-4572. Istanbul, Turkey : Institute of Electrical and Electronics Engineers Inc..

Israel Rios, Alceu S. Britto Jr, Alessandro L. Koerich, Luiz E. S. Oliveira. 2010. « Evaluation of different feature sets in an OCR free method for word spotting in printed documents ». APPLIED COMPUTING 2010 - Proceedings of the 25th Annual ACM Symposium on Applied Computing (Sierre, Switzerland, Mar. 22-26, 2010) p. 52-56. Sierre, Switzerland : Association for Computing Machinery.

Carlos N. Silla Jr, Alessandro L. Koerich, Celso A. A. Kaestner. 2010. « Improving automatic music genre classification with hybrid content-based feature vectors ». APPLIED COMPUTING 2010 - Proceedings of the 25th Annual ACM Symposium on Applied Computing (Sierre, Switzerland, Mar. 22-26, 2010) p. 1702-1707. Sierre, Switzerland : Association for Computing Machinery.

Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren. 2010. « An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques ». International Joint Conference on Neural Networks (IJCNN) (Barcelona, Spain, July 18-23, 2010) IEEE.

Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren. 2010. « Handwritten digit recognition using multiple feature extraction techniques and classifier ensemble ». IWSSIP 2010 - 17th International Conference on Systems, Signals and Image Processing (Rio de Janeiro, Brazil, June 17-19, 2010) p. 215-218. IWSSIP.

Josep M. Gonfaus, Xavier Boix, Fahad S. Khan, Joost van de Weijer, Andrew D. Bagdanov, Marco Pedersoli, Joan Serrat, Xavier Roca, Jordi Gonzàlez. 2010. « Harmony potentials : Fusing global and local scale for semantic image segmentation ». Communication lors de la conférence : The PASCAL Visual Object Classes Challenge Workshop 2010 ( Crete, Greece, Sept. 11, 2010 )

Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdanov, Juan J. Villanueva. 2010. « Recursive coarse-to-fine localization for fast object detection ». Computer Vision - ECCV 2010 : 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part VI (Heraklion, Crete, Greece, Sept. 05-11, 2010) p. 280-293. Springer Verlag.

D. Rowe, J. Gonzalez, M. Pedersoli, J. J. Villanueva. 2010. « On tracking inside groups ». Machine Vision and Applications. vol. 21 , nº 2. p. 113-127.

Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel. 2010. « Gender classification from unconstrained video sequences ». 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW) (San Francisco, CA, USA, June 13-18, 2010) p. 55-62. Los Alamitos, CA, USA : IEEE Computer Society.

Matthew Toews, William M. Wells III. 2010. « A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images ». 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW) (San Francisco, CA, United states, June 13-18, 2010) p. 111-116. Los Alamitos, CA, USA : IEEE Computer Society.

Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel. 2010. « Feature-based morphometry: discovering group-related anatomical patterns ». NeuroImage. vol. 49 , nº 3. p. 2318-2327.

Ismail Ben Ayed, Shuo Li, Ian Ross. 2009. « A statistical overlap prior for variational image segmentation ». International Journal of Computer Vision. vol. 85 , nº 1. p. 115-132.

Ismail Ben Ayed, Shuo Li, Ian Ross. 2009. « Embedding overlap priors in variational left ventricle tracking ». IEEE Transactions on Medical Imaging. vol. 28 , nº 12. p. 1902-1913.

Ismail Ben Ayed, Shuo Li, Ian Ross. 2009. « Level set image segmentation with a statistical overlap constraint ». Information Processing in Medical Imaging. 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings (Williamsburg, VA, USA, July 5-10, 2009) p. 589-601. Springer Verlag.

Ismail Ben Ayed, Shuo Li, Ian Ross, Ali Islam. 2009. « Myocardium tracking via matching distributions ». International Journal of Computer Assisted Radiology and Surgery. vol. 4 , nº 1. p. 37-44.

Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong. 2009. « Left ventricle segmentation via graph cut distribution matching ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II (London, UK, Sept. 20-24, 2009) p. 901-909. Springer Verlag.

M. Ben Salah, A. Mitiche, I. Ben Ayed. 2009. « Image segmentation in a kernel-induced space ». Proceedings of the 2009 16th IEEE International Conference on Image Processing (ICIP 2009) (Cairo, Egypt, Nov. 7-10, 2009) p. 2997-3000. IEEE.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian Ross, Shuo Li. 2009. « Tracking endocardial boundary and motion via graph cut distribution matching and multiple model filtering ». Computer Vision - ACCV 2009 : 9th Asian Conference on Computer Vision, Xi’an, September 23-27, 2009, Revised Selected Papers, Part III (Berlin, Germany, Sept. 23-27, 2009) p. 172-182. Springer Verlag.

Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross, Ali Islam, Jaron Chong. 2009. « Heart motion abnormality detection via an information measure and bayesian filtering ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II (London, UK, Sept. 20-24, 2009) p. 373-380. Springer Verlag.

Patrick Cardinal, Gilles Boulianne. 2009. « Real-time correction of closed-captions ». INTERSPEECH 2009 - 10th Annual Conference of the International Speech Communication Association (Brighton, UK, Sept. 6-10, 2009) p. 1447-1450. International Speech and Communication Association.

Patrick Cardinal, Pierre Dumouchel, Gilles Boulianne. 2009. « Using parallel architectures in speech recognition ». INTERSPEECH 2009 - 10th Annual Conference of the International Speech Communication Association (Brighton, UK, Sept. 6-10, 2009) p. 3039-3042. International Speech and Communication Association.

Maguelonne Héritier, Vishwa Gupta, Langis Gagnon, Gilles Boulianne, Samuel Foucher, Patrick Cardinal. 2009. « CRIM's content-based copy detection system for TRECVID ». 2009 TREC Video Retrieval Evaluation Notebook Papers (Gaithesburg, MD, USA, Nov. 16, 2009) National Institute of Standards and Technology.

A. R. Barghaei, Mohamad Forouzanfar, Hamid Abrishami Moghaddam. 2009. « شخیص بیماری دیابت با استفاده از کرنل وابسته به داده ». 16th Iranian Conference Biomedical Engineering (ICBME) (Mashhad, Iran, Dec. 29-30, 2009) CIVILICA.

A. Eftekhari, H. Abrishami-Moghaddam, M. Forouzanfar. 2009. « A generalized matrix-based framework for face recognition ». 17th Iranian Conference on Electric Engineering (ICEE) (Tehran, Iran, May 11-13, 2009) Iran University of Science and Technology.

Armin Eftekhari, Hamid Abrishami Moghaddam, Mohamad Forouzanfar, Javad Alirezaie. 2009. « Incremental local linear fuzzy classifier in fisher space ». EURASIP Journal on Advances in Signal Processing. vol. 2009 , nº 1.

Armin Eftekhari, Mojtaba Ahmadieh Khanesar, Mohamad Forouzanfar, Mohammad Teshnehlab. 2009. « Incremental locally linear fuzzy classifier ». In Applications of Soft Computing Coll. «Advances in Intelligent and Soft Computing», . p. 305-314. Springer Berlin Heidelberg.

Nosratallah Forghani, Mohamad Forouzanfar, Armin Eftekhari, Shahab Mohammad-Moradi, Mohammad Teshnehlab. 2009. « Application of particle swarm optimization in accurate segmentation of brain MR images ». In Particle Swarm Optimization . p. 203-222. IntechOpen.

Mohamad Forouzanfar, Hilmi R. Dajani, Voicu Z. Groza, Miodrag Bolic, Sreeraman Rajan. 2009. « Oscillometric blood pressure estimation using principal component analysis and neural networks ». IEEE Toronto International Conference - Science and Technology for Humanity (TIC-STH'09) (Toronto, ON, Canada, Sept. 26-27, 2009) p. 981-986. IEEE Computer Society.

Shahab Mohammad-Moradi, Hamid Khaloozadeh, Mohamad Forouzanfar, Ramezan Paravi Torghabeh, Nosratallah Forghani. 2009. « Swarm intelligence in portfolio selection ». In Particle Swarm Optimization . p. 223-232. IntechOpen.

Luana Batista, Éric Granger, Robert Sabourin. 2009. « A multi-hypothesis approach for off-line signature verification with HMMs ». 10th International Conference on Document Analysis and Recognition (ICDAR) (Barcelona, Spain, July 26-29, 2009) p. 1315-1319. Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2009. « Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification ». IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) (Ottawa, Ont., Canada, July 8-10, 2009) Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.

Wael Khreich, Éric Granger, Ali Miri, Robert Sabourin. 2009. « A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection ». IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) (Ottawa, Ont., Canada, July 8-10, 2009) Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.

Wael Khreich, Éric Granger, Robert Sabourin, Ali Miri. 2009. « Combining hidden Markov models for improved anomaly detection ». IEEE International Conference on Communications (ICC) (Dresden, Germany, June 14-18, 2009) Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2009. « Fast learning of grammatical probabilities in radar electronic support ». Ottawa, Canada. Defence R&D Canada -Ottawa. 94 p.

Cheila Bergamini, Luis S. Oliveira, Alessandro L. Koerich, Robert Sabourin. 2009. « Combining different biometric traits with one-class classification ». Signal Processing. vol. 89 , nº 11. p. 2117-2127.

Richardson Ribeiro, Andre P. Borges, Alessandro L. Koerich, Edson E. Scalabrin, Fabricio Enembreck. 2009. « A strategy for converging dynamic action policies ». 2009 IEEE Symposium on Intelligent Agents, IA 2009 - Proceedings (Nashville, TN, USA, Mar. 30- Apr. 2, 2009) p. 136-143. Nashville, TN, USA : Inst. of Elec. and Elec. Eng. Computer Society.

Murilo Santos, Albert Hung-Ren Ko, Luis S. Oliveira, Robert Sabourin, Alessandro L. Koerich, Alceu de Souza Britto. 2009. « Evaluation of different strategies to optimize an HMM-based character recognition system ». 10th International Conference on Document Analysis and Recognition (ICDAR) (Barcelona, Spain, July 26-29, 2009) p. 666-670. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Computer Society.

C. N. Silla, A. L. Koerich, C. A. A. Kaestner. 2009. « A feature selection approach for automatic music genre classification ». International Journal of Semantic Computing. vol. 3 , nº 2. p. 183-208.

Marco Pedersoli, Jordi Gonzalez, Juan Jose Villanueva. 2009. « High-speed human detection using a multiresolution cascade of histograms of oriented gradients ». Pattern Recognition and Image Analysis : 4th Iberian Conference, IbPRIA 2009 Póvoa de Varzim, Portugal, June 10-12, 2009 Proceedings (Povoa de Varzim, Portugal, June 10-12, 2009) p. 48-55. Springer Verlag.

Marco Pedersoli, Jordi Gonzalez, Juan Jose Villanueva. 2009. « High-speed human detection using a multiresolution cascade of histograms of oriented gradients ». Communication lors de la conférence : 4th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) ( Povoa de Varzim, Portugal, June 10-12, 2009 )

M. Toews, T. Arbel. 2009. « Detection, localization, and sex classification of faces from arbitrary viewpoints and under occlusion ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 31 , nº 9. p. 1567-1581.

M. Toews, Tal Arbel. 2009. « Parts-based modelling of medical imagery ». In Computational intelligence in medical imaging: techniques and applications . p. 291-326. CRC Press.

Matthew Toews, D. Louis Collins, Tal Arbel. 2009. « Automatically learning cortical folding patterns ». IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI '09 (Boston, MA, USA, June 28-July 1, 2009) p. 1330-1333. Piscataway, NJ, USA : IEEE Computer Society.

Matthew Toews, William III Wells. 2009. « SIFT-Rank: Ordinal description for invariant feature correspondence ». IEEE Conference onComputer Vision and Pattern Recognition, 2009. CVPR 2009 (Miami, FL, USA, June 20-25, 2009) p. 172-177. Piscataway, NJ, USA : IEEE Computer Society.

Matthew Toews, William M. Wells. 2009. « Bayesian registration via local image regions: information, selection and marginalization ». Information processing in medical imaging : 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings (Williamsburg, VA, USA, July 5-10, 2009) p. 435-446. Springer Berlin Heidelberg.

Matthew Toews, William M. Wells, D. Louis Collins, Tal Arbel. 2009. « Feature-based morphometry ». Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II (London, UK, Sept. 20-24, 2009) p. 109-116. Springer Berlin Heidelberg.

Paulo V. W. Radtke, Tony Wong, Robert Sabourin. 2009. « Solution over-fit control in evolutionary multiobjective optimization of pattern classification systems ». International Journal of Pattern Recognition and Artificial Intelligence. vol. 23 , nº 6. p. 1107-1127.

Ismail Ben Ayed, Shuo Li, Ali Islam, Greg Garvin, Rethy Chhem. 2008. « Area prior constrained level set evolution for medical image segmentation ». Medical Imaging 2008: Image Processing (San Diego, CA, USA, Feb. 17-19, 2008) p. 691402-691401. The International Society for Optical Engineering.

Ismail Ben Ayed, Shuo Li, Ian Ross. 2008. « Tracking distributions with an overlap prior ». 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Anchorage, AK, USA, June 23-28, 2008) IEEE.

Ismail Ben Ayed, Amar Mitiche. 2008. « A region merging prior for variational level set image segmentation ». IEEE Transactions on Image Processing. vol. 17 , nº 12. p. 2301-2311.

Ismail Ben Ayed, Amar Mitiche. 2008. « Merging active contours ». Advances in Visual Computing. 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part II (Las Vegas, NV, USA, Dec. 1-3, 2008) p. 181-191. Springer Verlag.

Ismail Ben Ayed, Lu Yingli, Shuo Li, Ian Ross. 2008. « Left ventricle tracking using overlap priors ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I (Berlin, Germany, Sept. 6-10, 2008) p. 1025-1033. Springer-Verlag.

Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche. 2008. « Multiregion graph cut image segmentation ». VISAPP 2008 - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1 (Funchal, Portugal, Jan. 22-25, 2008) p. 535-538. Institute for Systems and Technologies of Information, Control and Communication.

Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed. 2008. « A continuous labeling for multiphase graph cut image partitioning ». Advances in Visual Computing. Proceedings 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part I (Berlin, Germany, Dec. 1-3, 2008) p. 268-277. Springer-Verlag.

Patrick Cardinal, Pierre Dumouchel, Gilles Boulianne, Michel Comeau. 2008. « GPU accelerated acoustics likelihood computations ». 9th Annual Conference of the International Speech Communication Association (INTERSPEECH) (Brisbane, Australia, Sept. 22-26, 2008) p. 964-967. Bonn, Germany : International Speech Communication Association.

Mohamad Forouzanfar, Hamid Abrishami Moghaddam, Sona Ghadimi. 2008. « Locally adaptive multiscale bayesian method for image denoising based on bivariate normal inverse gaussian distributions ». International Journal of Wavelets, Multiresolution and Information Processing. vol. 6 , nº 4. p. 653-664.

Mohammad Ali Rezaei, Parviz Abdolmaleki, Zahra Karami, Ebrahim Barzegari Asadabadi, Mohammad Amin Sherafat, Hamid Abrishami-Moghaddam, Marziyeh Fadaie, Mohammad Forouzanfar. 2008. « Prediction of membrane protein types by means of wavelet analysis and cascaded neural networks ». Journal of Theoretical Biology. vol. 254 , nº 4. p. 817-820.

A. Tolouee, H. Abrishami-Moghaddam, R. Garnavi, M. Forouzanfar, M. Giti. 2008. « Texture analysis in lung HRCT images ». Digital Image Computing: Techniques and Applications (DICTA) (Canberra, ACT, Australia, Dec. 01-03, 2008) p. 305-311. IEEE Computer Society.

Luana Batista, Dominique Rivard, Robert Sabourin, Éric Granger, Patrick Maupin. 2008. « State of the art in off-line signature verification ». In Pattern recognition technologies and applications : recent advances . p. 39-62. Information Science Reference.

Jean-François Connolly, Éric Granger, Robert Sabourin. 2008. « Supervised incremental learning with the fuzzy ARTMAP neural network ». Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop (ANNPR) (Paris, France, Jul. 2-4, 2008) p. 66-77. Berlin, Germany : Springer Verlag.

Éric Granger, Jean-Francois Connolly, Robert Sabourin. 2008. « A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning ». IEEE International Joint Conference on Neural Networks (IJCNN) (Hong Kong, China, June 1-8, 2008) p. 3305-3312. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Eric Granger, Germain Lefrançois. 2008. « Novelty detection with probabilistic ARTMAP neural networks ». Smart Systems Engineering—Computational Intelligence in Architecting Engineering Systems (St-Louis, MO, USA, Nov. 9-12, 2008) The American Society of Mechanical Engineers.

Cheila Bergamini, Luiz S. Oliveira, Alessandro L. Koerich, Robert Sabourin. 2008. « Fusion of biometric systems using one-class classification ». IEEE International Joint Conference on Neural Networks (IJCNN) (Hong Kong, China, June 1-8, 2008) p. 1308-1313. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

P. R. Kalva, F. Enembreck, A. Koerich L.. 2008. « WEB image classification using combination of classifiers ». IEEE Latin America Transactions. vol. 6 , nº 7. p. 661-671.

A. Marini, Alessandro Koerich L.. 2008. « Estratégias de rejeiçao para problemas multiclasses ». XXXIV Conferencia Latinoamericana de Informatica (CLEI 2008) (Santa Fé, Argentina, Sept. 8-12, 2008) p. 162-171.

Luiz E. S. Oliveira, Paulo R. Cavalin, Alceu S. Britto Jr., Alessandro L. Koerich. 2008. « Inspeção automática de defeitos em madeiras de pinus usando visão computacional ». Revista de Informática Teórica e Aplicada. vol. 15 , nº 2. p. 203-217.

R. Ribeiro, A. P. Borges, G. Ulbricht, Alessandro Koerich L.. 2008. « Discovering of action policies in dynamic environments ». Agora. Revista de Divulgaçao Cientifica. vol. 15 , nº 1. p. 175-185.

M. Santos, L. Oliveira, Robert Sabourin, A. Koerich, A. Britto Jr.. 2008. « Combinando caracteristicas complementares em modelos escondidos de markov: uma otimizaçao para o reconhecimento de caracteres manuscritos ». Conferencia Latinoamericana de Informatica (CLEI) (Santa Fe, Argentina, Sept. 8-12, 2008) p. 260-269.

Carlos N. Silla Jr, Alessandro L. Koerich, Celso A. A. Kaestner. 2008. « The latin music database ». 9th International Conference on Music Information Retrieval, ISMIR 2008, September 14, 2008 - September 18, 2008 (Philadelphia, PA, USA, Sept. 14-18, 2008) p. 451-456. Philadelphia, PA, USA : Drexel University.

Carlos N. Jr Silla, Alessandro L. Koerich, Celso A. A. Kaestner. 2008. « Feature selection in automatic music genre classification ». 10th IEEE International Symposium on Multimedia, ISM 2008 (Berkeley, CA, USA, Dec. 15-17, 2008) p. 39-44. IEEE.

Carlos N. Silla, Alessandro L. Koerich, Celso A. A. Kaestner. 2008. « A machine learning approach to automatic music genre classification ». Journal of the Brazilian Computer Society. vol. 14 , nº 3. p. 7-18.

Jr. Valle, L. E. S. Oliveira, Alessandro L. Koerich. 2008. « Automatic people counting in videos from oblique viewing cameras ». IEEE Andescon 2008 (Cuzco, Peru, Oct. 15-17. 2008)

E. Vellasques, Luiz S. Oliveira, Alceu de Souza Britto, Alessandro L. Koerich, Robert Sabourin. 2008. « Filtering segmentation cuts for digit string recognition ». Pattern Recognition. vol. 41 , nº 10. p. 3044-3053.

Bhaskar Chakraborty, Marco Pedersoli, Jordi Gonzalez. 2008. « View-invariant human action detection using component-wise HMM of body parts ». 5th International Conference on Articulated Motion and Deformable Objects (AMDO) 2008, July 9, 2008 - July 11, 2008 (Port d'Andratx, Mallorca, Spain, July 09-11, 2008) p. 208-217. Springer Verlag.

Matthew Toews. 2008. « A probabilistic model to learn, detect, localize and classify patterns in arbitrary images ». 183 p. Thèse de doctorat. Montreal , McGill University

M. Barrette, Tony Wong, Bruno De Kelper, P. Côté. 2008. « Statistical multi-comparison of evolutionary algorithms ». 3rd International Conference on Bioinspired Optimization Methods and their Applications (BIOMA) (Ljubljana, Slovenia, Oct. 13-14, 2008) p. 71-80. Ljubljana, Slovenia : Jozef Stefan Institute.

P.V. Radtke, Robert Sabourin, Tony Wong. 2008. « Using the RRT algorithm to optimize classification systems for handwritten digits and letters ». Communication lors de la conférence : ACM Symposium on Applied Computing (SAC) ( Fortaleza, Ceara, Brazil, Mar. 16-20, 2008 )

Paulo V. W. Radtke, Robert Sabourin, Tony Wong. 2008. « Using the RRT algorithm to optimize classification systems for handwritten digits and letters ». 23rd Annual ACM Symposium on Applied Computing (SAC) (Fortaleza, Ceara, Brazil, March 16-20, 2008) p. 1748-1752. New York, NY, USA : Association for Computing Machinery.

Ismail Ben Ayed, Amar Mitiche. 2007. « Embedding a region merging prior in level set vector-valued image segmentation ». Computer Vision – ACCV 2007. 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part I (Tokyo, Japan, Nov. 18-22, 2007) p. 925-934. Springer Berlin Heidelberg.

P. Cardinal, G. Boulianne, M. Comeau, M. Boisvert. 2007. « Real-time correction of closed captions ». Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (Prague, Czech Republic, June 24-29, 2007) p. 113-116. Association for Computational Linguistics (ACL).

Nosratallah Forghani, Mohamad Forouzanfar, Elham Forouzanfar. 2007. « MRI fuzzy segmentation of brain tissue using IFCM algorithm with particle swarm optimization ». 22nd International Symposium on Computer and Information Sciences (ISCIS) (Ankara, Turkey, Nov. 07-09, 2007) p. 246-249. IEEE Computer Society.

M. Forouzanfar, H. A. Moghaddam. 2007. « A directional multiscale approach for speckle reduction in optical coherence tomography images ». International Conference on Electrical Engineering (ICEE) (Lahore, Pakistan, Apr. 11-12, 2007) IEEE Computer Society.

Mohamad Forouzanfar, Hamid Abrishami Moghaddam, Maryam Dehghani. 2007. « Speckle reduction in medical ultrasound images using a new multiscale bivariate Bayesian MMSE-based method ». IEEE 15th Signal Processing and Communications Applications (SIU) (Eskisehir, Turkey, June 11-13, 2007) IEEE Computer Society.

Youness Aliyari Ghassabeh, Nosratallah Forghani, Mohamad Forouzanfar, Mohammad Teshnehlab. 2007. « MRI fuzzy segmentation of brain tissue using IFCM algorithm with genetic algorithm optimization ». IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) (Amman, Jordan, May 13-16, 2007) p. 665-668. IEEE.

M. Barry, Éric Granger. 2007. « Comparison of ARTMAP neural networks for classification for face recognition from video ». Image Analysis and Recognition : 4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007. Proceedings (Montreal, Canada, Aug. 22-24, 2007) p. 794-805. Heidelberg, Germany : Springer Verlag.

M. Barry-Camerra, Éric Granger. 2007. « Face recognition in video using a what-and-where fusion neural network ». International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007) p. 2255-2260. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Éric Granger, Philippe Henniges, Robert Sabourin, Luiz S. Oliveira. 2007. « Supervised learning of fuzzy ARTMAP neural networks through particle swarm optimization ». Journal of Pattern Recognition Research. vol. 2 , nº 1. p. 27-60.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2007. « Incremental learning of stochastic grammars with graphical EM in radar electronic support ». IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Honolulu, HI, USA, April 15-20, 2007) p. 301-304. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

L. E. S. de Oliveira, A. S Britto Jr., A. L. Koerich. 2007-10. « Computational process for wood image analysis ».

A. G. Hochuli, A. S. Britto, A. L. Koerich. 2007. « Detection of non-conventional events on video scenes ». IEEE International Conference on Systems, Man and Cybernetics, 2007. ISIC p. 302-307.

A. G. Hochuli, L. E. S. Oliveira, A. S. Britto, A. L. Koerich. 2007. « Detection and classification of human movements in video scenes ». Advances in Image and Video Technology. Second Pacific Rim Symposium, PSIVT 2007, 17-19 Dec. 2007 (Santiago, Chile, Dec. 17-19, 2007) p. 678-691. Berlin, Germany : Springer-Verlag.

P. R. Kalva, F. Enembreck, A. L. Koerich. 2007. « WEB image classification based on the fusion of image and text classifiers ». Ninth International Conference on Document Analysis and Recognition, 2007. ICDAR 2007 (Parana, Brazil, Sept. 23-26, 2007) p. 561-568.

R. Ribeiro, Alessandro Koerich L., F. Enembreck. 2007. « Reinforcement learning: adaptive agents for discovery of policies of action ». Agora. Revista de Divulgaçao Cientifica. vol. 14 , nº 1. p. 9-24.

R. Ribeiro, A. L. Koerich, F. Enembreck. 2007. « Noise tolerance in reinforcement learning algorithms ». IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007. IAT '07 (Fremont, CA, USA, Nov. 2-5, 2007) p. 265-268.

C. N. Silla Jr., C. A. A. Kaestner, A. L. Koerich. 2007. « The latin music database: uma base de dados para a classificaçao automatica de generos musicais ». SBCM 2007 Proceedings (São Paulo, Brazil, Sept. 1-3, 2007) p. 167-174.

C. N. Silla, C. A. A. Kaestner, A. L. Koerich. 2007. « Automatic music genre classification using ensemble of classifiers ». IEEE International Conference on Systems, Man and Cybernetics, 2007. ISIC (Montreal, QC, Canada, Oct. 7-10, 2007) p. 1687-1692.

J. D. Valle, L. E. S. Oliveira, A. L. Koerich, A. S. Britto. 2007. « People counting in low density video sequences ». Advances in Image and Video Technology : Second Pacific Rim Symposium, PSIVT 2007 Santiago, Chile, December 17-19, 2007 Proceedings (Santiago, Chile, Dec. 17-19, 2007) p. 737-748. Springer Berlin Heidelberg.

Marco Pedersoli, Jordi Gonzàlez, Bhaskar Chakraborty, Juan J. Villanueva. 2007. « Enhancing real-time human detection based on histograms of oriented gradients ». In Computer Recognition Systems 2 Coll. «Advances in Soft Computing», . p. 739-746. Springer.

M. Toews, T. Arbel. 2007. « A statistical parts-based model of anatomical variability ». IEEE Transactions on Medical Imaging. vol. 26 , nº 4. p. 497-508.

Matthew Toews, Tal Arbel. 2007. « Detecting and localizing 3D object classes using viewpoint invariant reference frames ». IEEE 11th International Conference on Computer Vision, 2007. ICCV 2007 (Rio de Janeiro, Brazil, Oct. 14-21, 2007) p. 1-8. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..

Matthew Toews, Tal Arbel. 2007. « Detecting, localizing and classifying visual traits from arbitrary viewpoints using probabilistic local feature modeling ». Analysis and modeling of faces and gestures : Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings (Rio de Janeiro, Brazil, Oct. 20, 2007) p. 154-167. Springer Berlin Heidelberg.

Mathieu Barrette, Bruno De Kelper, Tony Wong. 2007. « Statistical comparison of evolutionary algorithms ». Smart systems engineering : computational intelligence in architecting complex engineering systems : proceedings of the Artificial Neural Networks in Engineering (ANNIE ...) Conference (St-Louis, MO, USA, Nov. 11-14, 2007) p. 237-245. ASME Press.

Mathieu Barrette, Tony Wong, Bruno De Kelper. 2007. « Evolutionary algorithms performance evaluation using rank-based multiple comparison procedure ». WMSCI 2007 - The 11th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 13th International Conference on Information Systems Analysis and Synthesis, ISAS 2007 - Proc. (Orlando, FL, USA, July 8-11, 2007) p. 35-40. Paris, France : International Social Science Council.

Irwin Ma, Tony Wong, Thiagas Sankar. 2007. « An engineering approach to forecast volatility of financial indices ». International Journal of Computational Intelligence. vol. 3 , nº 1. p. 23-35.

Irwin Ma, Tony Wong, Thiagas Sankar. 2007. « Volatility forecasting using time series data mining and evolutionary computation techniques ». Proceedings of the 9th annual conference on Genetic and evolutionary computation (London, UK, Jul. 7-11, 2007) p. 2262-2262. New York, NY, USA : Association for Computing Machinery.

P.V. Radtke, Robert Sabourin, Tony Wong. 2007. « Annealing based approach to optimize classification system ». International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007) p. 2616-2620. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Paulo V. W. Radtke, Robert Sabourin, Tony Wong. 2007. « A quantitative comparison between MOGAs and the RRT algorithm on classification systems optimization ». Brazilian Meeting on Artificial Intelligence (ENIA : Encontro Nacional de Inteligência Artificial) (Rio de Janeiro, Brazil, July 3-6, 2007) p. 1460-1468.

Tony Wong, Gilles Cormier. 2007. « Bond graph causality assignment and evolutionary multi-objective optimization ». Advances and Innovations in Systems, Computing Sciences and Software Engineering p. 433-438. Springer Netherlands.

Ismail Ben Ayed, Nacera Hennane, Amar Mitiche. 2006. « Unsupervised variational image segmentation/classification using a weibull observation model ». IEEE Transactions on Image Processing. vol. 15 , nº 11. p. 3431-3439.

Ismail Ben Ayed, Amar Mitiche. 2006. « A partition constrained minimization scheme for efficient multiphase level set image segmentation ». 2006 IEEE International Conference on Image Processing (Atlanta, GA, USA, Oct. 8-11, 2006) p. 1641-1644. IEEE.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2006. « Polarimetric image segmentation via maximum-likelihood approximation and efficient multiphase level-sets ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 28 , nº 9. p. 1493-1500.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2006. « Variational unsupervised classification of polarimetric images ». IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006 (Denver, CO, USA, July 31-Aug. 4, 2006) p. 4198-4200. IEEE.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2006. « Variational unsupervised segmentation of multi-look complex polarimetric images using a wishart observation model ». 2006 IEEE International Conference on Image Processing (Atlanta, GA, USA, Oct. 8-11, 2006) p. 3233-3236. IEEE.

G. Boulianne, J.-F. Beaumont, M. Boisvert, J. Brousseau, P. Cardinal, C. Chapdelaine, M. Comeau, P. Ouellet, F. Osterrath. 2006. « Computer-assisted closed-captioning of live TV broadcasts in French ». INTERSPEECH 2006 : ICSLP ; Proceedings of the Ninth International Conference on Spoken Language Processing (Pittsburgh, PA, USA, Sept. 17-21, 2006) p. 273-276. International Speech and Communication Association.

Patrick Cardinal. 2006. « E-Inclusion core speech forward-backward algorithm ». «Collection scientifique et technique» Centre de recherche informatique de Montréal. 6 p.

Éric Granger, P. Henniges, L.S. Oliveira, Robert Sabourin. 2006. « Particle swarm optimization of fuzzy ARTMAP parameters ». International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006) p. 2060-2067. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Philippe Henniges, Éric Granger, Robert Sabourin, Luiz S. Oliveira. 2006. « Impact of fuzzy ARTMAP match tracking strategies on the recognition of handwritten digits ». Smart systems engineering : infra-structure systems engineering, bio-informatics and computational biology and evolutionary computation : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2006) (Saint-Louis, MO, USA, Nov. 5-8, 2006) p. 465-472. ASME.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2006. « Fast incremental techniques for learning production rule probabilities in radar electronic support ». IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Toulouse, France, May 14-19, 2006) p. 773-776. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Guillaume Latombe, Éric Granger, Fred A. Dilkes. 2006. « Maximum likelihood and the graphical em algorithm ». Canadian Conference on Electrical and Computer Engineering (CCECE) (Ottawa, ON, Canada, May 7-10, 2006) p. 1475-1480. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Dominique Rivard, Éric Granger, Robert Sabourin. 2006. « Feature selection techniques for classification of satellite images with fuzzy ARTMAP neural networks ». Intelligent Engineering Systems through Artificial Neural Networks (Saint-Louis, MO, USA, Nov. 5-8, 2006) p. 479-486. ASME.

P. Cavalin, L. S. Oliveira, A. L. Koerich, A. S. Britto. 2006. « Wood defect detection using grayscale images and an optimized feature set ». IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics (Paris, France, Nov. 6-10, 2006) p. 3408-3412.

D. A. Corso, R. H. P. Almeida, A. S. Britto Jr., A. L. Koerich, L. E. S. Oliveira. 2006. « Utilizando momentos invariantes para o reconhecimento de padrões em um sistema de visão computacional ». Communication lors de la conférence : XV Encontro Anual de Iniciação Científica (EAIC) ( Ponta Grossa, Brasil, Aug. 22-25, 2006 )

D. A. Corso, R. H. P. Almeida, A. S. Britto Jr., A. L. Koerich, L. E. S. Oliveira. 2006. « Visão computacional: sistemas de visão aplicados a inspeção industrial ». Communication lors de la conférence : XV Encontro Anual de Iniciação Científica (EAIC) ( Ponta Grossa, Brasil, Aug. 22-25, 2006 )

L. E. S. de Oliveira, A. S. Britto Jr., A. L. Koerich. 2006-03. « A method to inspect containers ».

B. C. de Paula, F. Enembreck, A. L. Koerich. 2006. « Agente inteligente para jogos de estrategia baseados em turnos : uma abordagem utilizando planejamiento baseado em casos ». Digital Proceedings of the V Brazilian Symposium on Computer Games and Digital Entertainment (Recife, Brazil, Nov. 8-10, 2006)

Alessandro L. Koerich, Alceu S. Britto Jr, Luiz E. S. Oliveira, Robert Sabourin. 2006. « Fusing high- and low level features for handwritten word recognition ». 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006) p. 151-156.

Richardson Ribeiro, Fabrício Enembreck, Alessandro L. Koerich. 2006. « A hybrid learning strategy for discovery of policies of action ». Advances in Artificial Intelligence - IBERAMIA-SBIA 2006 : 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, Ribeirão Preto, Brazil, October 23-27, 2006. Proceedings (Ribeirão Preto, Brazil, Oct. 23-27, 2006) p. 268-277. Springer Berlin Heidelberg.

Richardson Ribeiro, Alessandro L. Koerich, Fabrício Enembreck. 2006. « Uma nova metodologia para avaliaçao da performance de algoritmos baseados em aprendizagem por reforço ». Anais do XXVI Congresso da SBC. SEMISH XXXIII Seminário Integrado de Software e Hardware (Campo Grande, Brasil, July 14-20, 2006) p. 433-446.

C. N. Silla, C. A. A. Kaestner, Alessandro L. Koerich. 2006. « Automatic genre classification of Latin music using ensemble of classifiers ». Anais do XXVI Congresso da SBC. SEMISH XXXIII Seminário Integrado de Software e Hardware (Campo Grande, Brazil, July 14-20, 2006) p. 47-53.

Carlos N. Jr. Silla, Celso A A. Kaestner, Alessandro L. Koerich. 2006. « Time-space ensemble strategies for automatic music genre classification ». Advances in Artificial Intelligence - IBERAMIA-SBIA 2006 : 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, Ribeirão Preto, Brazil, October 23-27, 2006. Proceedings (Ribeirão Preto, Brazil, Oct. 23-27, 2006) p. 339-348. Springer Berlin Heidelberg.

T. E. Szczepanik, G. M. Rocha, A. L. Koerich. 2006. « Classificação de objetos de interesse em vídeo digital ». Communication lors de la conférence : XIV Seminário de Iniciação Científica & VIII Mostra de Pesquisa da PUCPR ( Curitiba, Brasil, Oct., 2006 )

E. Vellasques, L.S. Oliveira, A. S. Britto Jr, A. L. Koerich, Robert Sabourin. 2006. « Modeling segmentation cuts using support vector machines ». 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006) p. 41-46.

M. Y. Yee, A. L. Koerich. 2006. « Reconhecimento de texto em vídeo digital ». Communication lors de la conférence : XIV Seminário de Iniciação Científica & VIII Mostra de Pesquisa da PUCPR ( Curitiba, Brasil, Oct., 2006 )

Frank Riggi, Matthew Toews, Tal Arbel. 2006. « Fundamental matrix estimation via TIP - Transfer of Invariant Parameters ». 18th International Conference on Pattern Recognition, 2006. ICPR 2006 (Hong Kong, China, Aug. 20-24, 2006) p. 21-24. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..

Matthew Toews, Tal Arbel. 2006. « Detection over viewpoint via the object class invariant ». 18th International Conference on Pattern Recognition, 2006. ICPR 2006 (Hong Kong, China, Aug. 20-24, 2006) p. 765-768. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..

Matthew Toews, D. Louis Collins, Tal Arbel. 2006. « A statistical parts-based appearance model of inter-subject variability ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I (Copenhagen, Denmark, Oct. 1-6, 2006) p. 232-240.

P. Nonnon, D. Cervera, Pascal Bigras, Tony Wong. 2006. « Comprendre les systèmes hydrauliques et pneumatiques industriels ». Res Academica. vol. 23 , nº 2. p. 169-186.

P.V.W. Radtke, Tony Wong, Robert Sabourin. 2006. « An evaluation of over-fit control strategies for multi-objective evolutionary optimization ». International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006) p. 3327-3334. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Paulo V. W. Radtke, Robert Sabourin, Tony Wong. 2006. « Classification system optimization with multi-objective genetic algorithms ». 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006) p. 331-336.

Tony Wong, Bruno De Kelper, Pascal Bigras. 2006. « Structured controller design using evolution strategies : a computational analysis ». IEEE International Symposium on Industrial Electronics (ISIE) (Montreal, Canada, Jul. 9-13, 2006) p. 2984-2989. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2005. « Level set curve evolution partitioning of polarimetric images ». IEEE International Conference on Image Processing, 2005. ICIP 2005 (Genoa, Italy, Sept. 11-14, 2005) p. 281-284. IEEE.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2005. « Multiregion level-set partitioning of synthetic aperture radar images ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 27 , nº 5. p. 793-800.

Patrick Cardinal, Gilles Boulianne, Michel Comeau. 2005. « Segmentation of recordings based on partial transcriptions ». Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech'2005-Eurospeech) (Lisbon, Portugal, Sept. 4-8, 2005) p. 3345-3348. International Speech and Communication Association.

Philippe Henniges, Éric Granger, Robert Sabourin. 2005. « Factors of overtraining with fuzzy ARTMAP neural networks ». IEEE International Joint Conference on Neural Networks (IJCNN) (Montreal, Canada, Jul. 31-Aug. 4, 2005) p. 1075-1080. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

A. L. Koerich, P. R. Kalva. 2005. « Unconstrained handwritten character recognition using metaclasses of characters ». IEEE International Conference on Image Processing, 2005. ICIP 2005 (Genoa, Italy, Sept. 11-14, 2005) p. II-542-545.

A. L. Koerich, C. Poitevin. 2005. « Combination of homogeneous classifiers for musical genre classification ». 2005 IEEE International Conference on Systems, Man and Cybernetics (Waikoloa, HI, USA, Oct. 10-12, 2005) p. 554-559.

Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen. 2005. « Recognition and verification of unconstrained handwritten words ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 27 , nº 10. p. 1509-1522.

R. Nagornni Jr., A. L. Koerich. 2005. « Localização e segmentação de texto em vídeo digital ». Communication lors de la conférence : XIII Seminário de Iniciação Científica e VII Mostra de Pesquisa ( Curitiba, Brasil, Nov., 2005 )

G. M. Rocha, T. E. Szczepanik, A. L. Koerich. 2005. « Detecção e segmentação de objetos de interesse em vídeo digital ». Communication lors de la conférence : XIII Seminário de Iniciação Científica e VII Mostra de Pesquisa ( Curitiba, Brasil, Nov., 2005 )

C. N. Silla Jr., C. A. Kaestner, A. L. Koerich. 2005. « Classificação automática de gêneros musicais utilizando métodos de bagging e boosting ». 10th Brazilian Symposium on Computer Music (SBCM) (Belo Horizonte, Brasil, Oct. 3-5, 2005) p. 48-57.

Matthew Toews, Louis D. Collins, Tal Arbel. 2005. « Maximum a posteriori local histogram estimation for image registration ». Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 : 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II (Palm Springs, CA, USA, Oct. 26-29, 2005) p. 163-170. Springer Berlin Heidelberg.

Pascal Côté, Tony Wong, Robert Sabourin. 2005. « A hybrid multi-objective evolutionary algorithm for the uncapacitated exam proximity problem ». Practice and Theory of Automated Timetabling V : 5th International Conference, PATAT 2004, Pittsburgh, PA, USA, August 18-20, 2004, Revised Selected Papers (Pittsburgh, PA, USA, Aug. 18-20, 2004) p. 294-312. Berlin, Germany : Springer-Verlag.

Irwin Ma, Tony Wong, Thiagas Sankar. 2005. « Volatility forecast by discrete stochastic optimization and genetic algorithms ». 4th International Conference on Computational Intelligence in Economics and Finance (CIEF) (Salt Lake City, UT, USA, July 21-26, 2005) p. 992-996.

P. Nonnon, D. Cervera, Pascal Bigras, Tony Wong. 2005. « Conception et réalisation d'un laboratoire virtuel d'expérimentation en hydraulique et pneumatique ». Res Academica. vol. 23 , nº 2. p. 169-187.

P. Radtke, Tony Wong, Robert Sabourin. 2005. « A multi-objective memetic algorithm for intelligent feature extraction ». Evolutionary Multi-Criterion Optimization Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005. Proceedings (Guanajuato, Mexico, March 9-11, 2005) p. 767-781. Berlin, Germany : Springer-Verlag.

P.V.M. Radtke, Robert Sabourin, Tony Wong. 2005. « Intelligent feature extraction for ensemble of classifiers ». 8th International Conference on Document Analysis and Recognition (ICDAR) (Seoul, South Korea, Aug. 29-Sept. 1, 2005) p. 866-870. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.

Tony Wong, Pascal Bigras, D. Cervera. 2005. « A software application for visualizing and understanding hydraulic and pneumatic networks ». Computer Applications in Engineering Education. vol. 13 , nº 3. p. 169-180.

Tony Wong, Pascal Bigras, Bruno De Kelper. 2005. « A multi-neighborhood and multi-operator strategy for the uncapacitated exam proximity problem ». IEEE International Conference on Systems, Man and Cybernetics (SMC) (Hawaii, USA, Oct.10-12, 2005) p. 3810-3816. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Ismail Ben Ayed, Carlos Vázquez, Amar Mitiche, Ziad Belhadj. 2004. « SAR image segmentation with active contours and level sets ». 2004 International Conference on Image Processing, 2004. ICIP '04 (Singapore, Singapore, Oct. 24-27, 2004) p. 2721-2720. Piscataway, NJ, USA : IEEE.

Carlos Vázquez, Amar Mitiche, Ismail Ben Ayed. 2004. « Image segmentation as regularized clustering: a fully global curve evolution method ». 2004 International Conference on Image Processing, 2004. ICIP '04 (Singapore, Singapore, Oct. 24-27, 2004) p. 3467-3470. Piscataway, NJ, USA : IEEE.

Éric Granger, S. Catudal, M. Grou, M. Mbaye, Y. Savia. 2004. « On current strategies for hardware acceleration of digital image restoration filters ». Communication lors de la conférence : 2004 WSEAS International Conference on Signal, Speech and Image Processing (ICOSSIP) ( Izmir, Turkey, Sept. 12-16, 2004 )

Éric Granger, Serge Catudal, Robert Grou, Mame Maria Mbaye, Yvon Savaria. 2004. « On current strategies for hardware acceleration of digital image restoration filters ». WSEAS Transactions on Electronics. vol. 1 , nº 3. p. 551-557.

P. Maupin, Éric Granger, Tony Wong, Robert Sabourin. 2004. « A review of situation recognition models and systems ». Communication lors de la conférence : The 24th Army Science Conference (ASC 2004) ( Orlando, FL, USA, Nov. 29-Dec. 2, 2004 )

C. H. L. Costa, A. L. Koerich. 2004. « Busca e recuperação automática de áudio digital baseada na análise do conteúdo ». Communication lors de la conférence : XII Seminário de Iniciação Científica e VI Mostra de Pesquisa ( Curitiba, Brasil, Nov., 2004 )

C. H. L. Costa, J. D. Valle, A. L. Koerich. 2004. « Automatic classification of audio data ». 2004 IEEE International Conference on Systems, Man and Cybernetics (The Hague, Netherlands, Oct. 10-13, 2004) p. 562-567.

A. L. Koerich. 2004. « Rejection strategies for handwritten word recognition ». Ninth International Workshop on Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004 (Tokyo, Japan, Oct. 26-29, 2004) p. 479-484.

Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen. 2004. « Fast two-level HMM decoding algorithm for large vocabulary handwriting recognition ». Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9) (Tokyo, Japan, Oct. 26-29, 2004) p. 232-237. Los Alamitos, CA, USA : Institute of electrical and Electronics Engineers Computer Society.

Alessandro L. Koerich. 2004. « Reconhecimento de palavras manuscritas usando modelos de Markov ». IEEE Latin America Transactions. vol. 2 , nº 2. p. 132-141.

J. D. Valle Jr., A. L. Koerich. 2004. « Técnicas de pré-processamento e extração de características de áudio para a classificação de gêneros musicais ». Communication lors de la conférence : XII Seminário de Iniciação Científica e VI Mostra de Pesquisa ( Curitiba, Brasil, Nov., 2004 )

Matthew Toews. 2004. « Entropy-of-likelihood feature point selection for image correspondence ». Mémoire de maîtrise. Montreal , McGill University

Pascal Côté, Tony Wong, Robert Sabourin. 2004. « Application of a hybrid multi-objective evolutionary algorithm to the uncapacitated exam proximity problem ». The Practice and Theory of Automated Timetabling V : 5th International Conference on Practice and Theory of Automated Timetabling (PATAT) (Pittsburgh, PA, USA, Aug. 18-20, 2004) p. 151-168.

Irwin Ma, Tony Wong, Thiagas S. Sankar, Raymond Siu. 2004. « Forecasting the volatility of a financial index by wavelet transform and evolutionary algorithm ». IEEE International Conference on Systems, Man and Cybernetics (The Hague, Netherlands, Oct. 10-13, 2004) p. 5824-5829. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Irwin Ma, Tony Wong, Thiagas Sankar, Raymond Siu. 2004. « Volatility forecasts of the S&P100 by evolutionary programming in a modified time series data mining framework ». World Automation Congress, 2004 : Proceedings (Seville, Spain, June 28-July 1, 2004) p. 567-572. IEEE.

Tony Wong, Pascal Côté, Robert Sabourin. 2004. « A hybrid MOEA for the capacitated exam proximity problem ». Congress on Evolutionary Computation (CEC) (Portland, OR, USA, June 19-23, 2004) p. 1495-1501. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Gilles Boulianne, Jean-François Beaumont, Patrick Cardinal, Michel Comeau, Pierre Ouellet, Pierre Dumouchel. 2003. « Automatic segmentation of film dialogues into phonemes and graphemes ». Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003) (Geneva, Switzerland, Sept. 1-4, 2003) p. 1241-1244. International Speech and Communication Association.

Julie Brousseau, Jean-François Beaumont, Gilles Boulianne, Patrick Cardinal, Claude Chapdelaine, Michel Comeau, Frédéric Osterrath, Pierre Ouellet. 2003. « Automated closed-captioning of live TV broadcast news in French ». Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003) (Geneva, Switzerland, Sept. 1-4, 2003) p. 1245-1248. International Speech and Communication Association.

Patrick Cardinal. 2003. « Finite-state transducers and speech recognition ». Mémoire de maîtrise. , McGill University

Eric Granger, Yvon Savaria, Pierre Lavoie. 2003. « A pattern reordering approach based on ambiguity detection for online category learning ». IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 25 , nº 4. p. 524-528.

A. L. Koerich. 2003. « Improving classification performance using metaclasses ». IEEE International Conference on Systems, Man and Cybernetics, 2003 (Washington, DC, USA, Oct. 5-8, 2003) p. 717-722.

A. L. Koerich. 2003. « Unconstrained handwritten character recognition using different classification strategies ». IAPR - TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (Florence, Italy, Sept. 12-13, 2003)

A. L. Koerich. 2003. « Verification of handwritten words at character level ». Proceedings of the fifth IASTED International Conference on Signal and Image Processing, August 13-15, 2003, Honolulu, Hawaii, USA (Honolulu, HI, USA, Aug. 13-15, 2003) ACTA Press.

Alessandro L. Koerich, Robert Sabourin, C. Y. Suen. 2003. « Large vocabulary off-line handwriting recognition : a survey ». Pattern Analysis & Applications. vol. 6 , nº 2. p. 97-121.

Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen. 2003. « Lexicon-driven HMM decoding for large vocabulary handwriting recognition with multiple character models ». International Journal on Document Analysis and Recognition. vol. 6 , nº 2. p. 126-144.

M. Toews, T. Arbel. 2003. « Entropy-of-likelihood feature selection for image correspondence ». Ninth IEEE International Conference on Computer Vision, 2003. Proceedings (Nice, France, Oct. 13-16, 2003) p. 1041-1047. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..

Paulo V. W. Radtke, Luiz S. Oliveira, Robert Sabourin, Tony Wong. 2003. « Intelligent zoning design using multi-objective evolutionary algorithms ». Seventh International Conference on Document Analysis and Recognition (Edinburgh, Scotland, Aug. 3-6, 2003) p. 824-828. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.

Azzeddine Soulaimani, Tony Wong, Y. Azami, A. Ben Elhaj-ali. 2003. « An Object-Oriented Approach for Building PC Clusters ». Information : an International Interdisciplinary Journal. vol. 6 , nº 3. p. 251-260.

Tony Wong, Pascal Bigras. 2003. « Structured controller design with evolutionary optimization ». International Conference on Artificial Intelligence and Applications (Benalmádena, Spain, Sept. 8-10, 2003) p. 163-168. ACTA Press.

N. Smaili, P. Cardinal, G. Boulianne, P. Dumouchel. 2002. « Disambiguation of finite-state transducers ». Proceedings of the 19th International Conference on Computational Linguistics (COLING2002) (Taipei, Taiwan, Aug. 26-30, 2002) Association for Computational Linguistics (ACL).

A. L. Koerich, Yann Leydier, Robert Sabourin, Ching Y. Suen. 2002. « Système hybride de reconnaissance de mots manuscrits sur un grand vocabulaire utilisant des réseaux neuronaux et des modèles de Markov cachés ». CIFED '2002 : colloque international francophone sur l'écrit et le document : Hammamet, 21-23 octobre 2002 (Hammamet, Tunisie, 21-23 oct. 2002) p. 325-334. Le Chesnay, Suisse : INRIA.

Alessandro L. Koerich. 2002. « Large vocabulary off-line handwriting recognition ». Thèse de doctorat. Montreal , École de technologie supérieure

Alessandro L. Koerich, Yann Leydier, Robert Sabourin, Ching Y. Suen. 2002. « A hybrid large vocabulary handwritten word recognition system using neural networks with hidden Markov models ». 8th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Ontario, Canada, Aug. 6-8, 2002) p. 99-104. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.

Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen. 2002. « Fast two-level Viterbi search algorithm for unconstrained handwriting recognition ». IEEE International Conference on Acoustics, Speech and Signal Processing (Orlando, FL, USA, May 13-17, 2002) p. IV/3537-IV/3540. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Pascal Bigras, Karim Khayati, Tony Wong. 2002. « Modified feedback linearization controller for pneumatic system with non negligible connection port restriction ». IEEE International Conference on Systems, Man and Cybernetics (Hammamet, Tunisia, Oct. 6-9, 2002) p. 227-231. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Pascal Bigras, Plamen Petrov, Tony Wong. 2002. « A LMI approach to feedback path control for an articulated mining vehicle ». ELECTRIMACS 2002 : 7th international conference on modeling and simulation of electric machines converters and systems : proceedings : Montreal, august 18-21, 2002 (Montreal, QC, Canada, Aug. 18-21, 2002) ELECTRIMACS.

Pascal Bigras, Tony Wong, Robert Sabourin. 2002. « Causality assignment using multi-objective evolutionary algorithms ». ELECTRIMACS 2002 : 7th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems (Montreal, QC, Canada, Aug. 18-21, 2002) ELECTRIMACS.

Tony Wong, Pascal Bigras, Daniel Cervera. 2002. « A software tool for understanding nonlinear phenomena in hydraulic and pneumatic systems ». 2002 ASEE Annual Conference and Exposition: Vive L'ingénieur (Montreal, QC, Canada, June 16-19, 2002) American Society for Engineering Education.

Tony Wong, Pascal Bigras, Karim Khayati. 2002. « Causality assignment using multi-objective evolutionary algorithms ». IEEE International Conference on Systems, Man and Cybernetics (Hammamet, Tunisia, Oct. 6-9, 2002) p. 36-41. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Tony Wong, Pascal Côté, Paul Gely. 2002. « Final exam timetabling : a practical approach ». Canadian Conference on Electrcial and Computer Engineering (Winnipeg, Canada, May 12-15, 2002) p. 726-731. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.

Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie. 2001. « A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters ». Neural Networks. vol. 14 , nº 3. p. 325-344.

Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie. 2001. « Radar ESM with a what-and-where fusion neural network ». Neural Networks for Signal Processing XI : Proceedings of the 2001 IEEE Signal Processing Society Workshop (North Falmouth, MA, USA, Sept. 10-12, 2001) p. 539-548. Piscataway, NJ, USA : IEEE.

Alessandro Koerich L., L. L. Lee. 2001. « Automatic bankcheck processing: information storage and retrieval ». Control and Automation Journal. vol. 12 , nº 1. p. 53-64.

Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen. 2001. « A distributed scheme for lexicon-driven handwritten word recognition and its application to large vocabulary problems ». 6th International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001) p. 660-664. Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.

Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen. 2001. « A time-length constrained level building algorithm for large vocabulary handwritten word recognition ». Second International Conference on Advances in Pattern Recognition (Rio de Janeiro, Brazil, March 11-14, 2001) p. 127-136. Berlin, Germany : Springer-Verlag.

Pascal Bigras, Tony Wong, Ruxandra Botez. 2001. « Pressure tracking control of a double restriction pneumatic system ». IASTED International Conference, Control and Applications (Banff, AB, Canada, June 27-29, 2001) p. 273-278. Anaheim, CA, USA : ACTA Press.

Ruxandra Botez, I. Boustani, N. Vayani, Pascal Bigras, Tony Wong. 2001. « Optimal control laws for gust alleviation ». Canadian Aeronautics and Space Journal = Journal Aéronautique et Spatial du Canada. vol. 47 , nº 1. p. 1-6.

A. Soulaïmani, T. Wong, Y. Azami. 2001. « Building PC clusters: an object-oriented approach ». Parallel computational fluid dynamics: trends and applications: proceedings of the Parallel CFD 2000 Conference (Trondheim, Norway, May 22-25, 2000) p. 139-146. New York, NY, USA : Elsevier.

A. Soulaïmani, T. Wong, Y. Azami, A. B. El Haj Ali. 2001. « An object-oriented approach for PC clusters ». 15th International Parallel and Distributed Processing Symposium (IPDPS) (San Francisco, CA, USA, Apr. 23-27, 2001) p. 1872-1877. Institute of Electrical and Electronics Engineers Inc..

Tony Wong, Pascal Bigras, Daniel Cervera. 2001. « Hydraulic and pneumatic system simulation: Design and applications ». The 26th annual congress of the American Romanian Academy of Arts and Sciences (ARA) : Montréal, Québec, Canada, July 25-29, 2001 : proceedings (Montreal, QC, Canada, July 25-29, 2001) p. 439-444. Polytechnic International Press.

Tony Wong, Pascal Bigras, Daniel Cervera. 2001. « Hydro+pneu: A quasi realtime hydraulic and pneumatic system simulation package ». Proceedings of the 29th International Conference on Computers and Industrial Engineering (Montreal, QC, Canada, Nov. 1-3, 2001) p. 602-607. Montréal : Université du Québec, École de technologie supérieure.

M.-A. Cantin, Y. Blaquière, Y. Savaria, P. Lavoie, E. Granger. 2000. « Effets de quantification sur l'implantation digital du réseau de neurone Fuzzy ». Affiche présentée lors de la conférence : Congrès de l'ACFAS ( Montreal, QC, Canada, 15-19 mai 2000 )

M.-A. Cantin, Y. Savaria, Y. Blaquière, E. Granger, P. Lavoie. 2000. « Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm ». ISCAS 2000 Geneva : proceedings of the 2000 IEEE International Symposium on Circuits and Systems (Geneva, Switzerland, May 28-31, 2000) p. 141-144. IEEE.

E. Granger, M. A. Rubin, S. Grossberg, P. Lavoie. 2000. « Classification of incomplete data using the fuzzy ARTMAP neural network ». Neural computing: new challenges and perspectives for the new millennium : proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Como, Italy, 24 - 27 July 2000 p. 35-40. Los Alamitos, Calif : IEEE Computer Society.

Y. Savaria, Y. Blaquière, M.-A. Cantin, E. Granger, P. Poiré, H. Daniel. 2000. « Implementations of the fuzzy ART neural networks on three different plaforms for fast clustering of radar pulses ». Affiche présentée lors de la conférence : GRIAO - Research review ( , 1998 )

A. L. Koerich, R. Sabourin, C. Y. Suen, A. El-Yacoubi. 2000. « A syntax directed level building algorithm for large vocabulary handwritten word recognition ». Fourth IAPR International Workshop on Document Analysis Systems, (DAS 2000) (Rio de Janeiro, Brazil, 10-13 December 2000) p. 255-266.

H. H. Saliah, L. Villardier, C. Kedowide, B. Assogba, T. Wong. 2000. « Resource management strategies for remote virtual laboratory experimentation ». 30th Annual Frontiers in Education Conference, 2000. FIE 2000 (Kansas, MO, USA, Oct. 18-21, 2000) p. T1D/8-T1D/12.

Tony Wong, J.-L. Houle, Ruxandra Botez. 2000. « Complexity of a class of task scheduling problems ». Libertas Mathematica. vol. 20 p. 131-140.

M.-A. Cantin, E. Granger, Y. Savaria, Y. Blaquière, P. Lavoie. 1999. « Four implementations of the fuzzy ART neural network for high data throughput applications ». Proceedings of the third International Conference on Cognitive and Neural Systems (ICCNS'99) (Boston, MA, USA, May 26-29, 1999) p. 15.

Eric Granger, Stephen Grossberg, Pierre Lavoie, Mark A. Rubin. 1999. « A comparison of classifiers for radar emitter type identification ». Smart engineering system design: neural networks, fuzzy logic, evolutionary programming, data mining and complex systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '99) (St-Louis, MO, USA, Nov. 7-10, 1999) p. 3-12. New York : ASME Press.

Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein. 1999. « Familiarity discrimination of radar pulses ». Advances in neural information processing systems 11 : proceedings of the 1998 conference (Denver, CO, USA, Nov. 30-Dec. 5, 1998) p. 875-881. Cambridge, Massachusetts : MIT Press.

A. L. Koerich, L. L. Lee. 1999. « A novel approach for automatic extracting the user-entered data from bankchecks ». Document analysis systems : theory and practice ; third IAPR workshop ; selected papers (Nagano, Japan, Oct., 1998) p. 141-144.

A. L. Koerich, L. L. Lee. 1999. « Automatic storage, retrieval and visualization of bank check images ». Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999. ICDAR '99 (Bangalore, India, Sept. 20-22, 1999) p. 111-114. IEEE.

M.-A. Cantin, Y. Blaquière, Y. Savaria, E. Granger, P. Lavoie. 1998. « Implementation of the fuzzy ART neural network for fast clustering of radar pulses ». Proceedings of the 1998 International Symposium on Circuits and Systems (ISCAS'98) (Monterey, CA, USA, May 31-June 3, 1998) p. 458-461. IEEE.

M.-A. Cantin, Y. Savaria, Y. Blaquière, P. Lavoie, E. Granger, P. Poiré, et al.. 1998. « Implementations of the fuzzy ART neural networks on three different platforms for fast clustering of radar pulses ». Affiche présentée lors de la conférence : TEXPO, Symposium on Microelectronics Research & Development in Canada ( ,  )

Eric Granger, Yvon Savaria, Pierre Lavoie, Marc-André Cantin. 1998. « A comparison of self-organizing neural networks for fast clustering of radar pulses ». Signal Processing. vol. 64 , nº 3. p. 249-269.

A. L. Koerich, L. L. Lee. 1998-04. « A method and system for automatic extraction of filled-in Information from bankchecks ».

A. L. Koerich, L. L. Lee. 1998. « A system for automatic extraction of the user-entered data from bankchecks ». Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Rio de Janeiro, Brazil, Jan. 20-23, 1998) p. 270-277. IEEE.

E. Granger, Y. Savaria, Y. Blaquière, M.-A. Cantin, P. Lavoie. 1997. « A VLSI architecture for fast clustering with the fuzzy ART neural network ». Journal of Microelectronic Systems Integration. vol. 5 , nº 1. p. 3-18.

Alessandro Koerich L.. 1997. « A proposal for bank cheques images processing: information extraction and storage ». Mémoire de maîtrise. Brazil , School of Electrical and Computer Engineering, University of Campinas, Brazil

A. L. Koerich, Ling Lee Luan. 1997. « Automatic extraction of filled information from bankchecks ». 1997 IEEE International Conference on Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation (Orlando, FL, USA, Oct. 12-15, 1997) p. 2151-2156.

A. L. Koerich, Ling Lee Luan. 1997. « Compression of bank cheque images based on layout knowledge ». 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1997. ICASSP-97 (Munich, Germany, Apr. 21-24, 1997) p. 3185-3188.

A. L. Koerich, L. L. Lee. 1997. « A methods for bankchecks image storage based on layout knowledge ». XV Brazilian Symposium of Telecommunications (SBT'97) (Recife, Brazil, Sept. 8-11, 1997) p. 394-397.

Alessandro L. Koerich, Luan Ling Lee. 1997. « Automatic extraction of filled-in information from bankchecks based on prior knowledge about layout structure ». Advances in Document Image Analysis. First Brazilian Symposium, BSDIA'97 Curitiba, Brazil, November 2–5, 1997 Proceedings (Curitiba, Brazil, Nov. 2-5, 1997) p. 322-333. Springer Berlin Heidelberg.

L. L. Lee, M. E. Lizarraga, N. R. Gomes, Alessandro Koerich L.. 1997. « A prototype for Brazilian bankcheck recognition in automatic bankcheck processing ». In Automatic bankcheck processing Coll. «Series in Machine Perception and Artificial Intelligence», 28. p. 87-108. World Scientific Publishing.

Luan L. Lee, Miguel G. Lizarraga, Natanael R. Gomes, Alessandro Koerich L.. 1997. « A prototype for Brazilian bankcheck recognition ». International Journal of Pattern Recognition and Artificial Intelligence. vol. 11 , nº 4. p. 549-569.

Tony Wong, Jean louis Houle. 1997. « Heuristic search method to map computer tasks in parallel real-time electrical networks simulations ». IASTED 15th International Conference on Applied Informatics (Innsbruck, Austria, Feb. 18-20, 1997) p. 63-66. Anaheim, CA, USA : IASTED.

E. Granger, Y. Blaquière, Y. Savaria, M.-A. Cantin, P. Lavoie. 1996. « A VLSI architecture for fast clustering with the fuzzy ART neural networks ». Proceedings of the International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing (NICROSP'96) (Venice, Italy, Aug. 21-23, 1996) p. 117-125. IEEE.

T. Wong, C. Rosu, J. L. Houle. 1995. « Analysis of a heuristic mapping method for parallel real-time simulation of electrical networks ». Canadian Conference on Electrical and Computer Engineering, 1995. (Montreal, QC, Canada, Sept. 5-8, 1995) p. 925-928.

Tony Wong, Christian Gargour, Naïm Batani. 1995. « Fuzzy learning vector quantization generation of codebooks ». Canadian Conference on Electrical and Computer Engineering (Montreal, QC, Canada, Sept. 5-8, 1995) p. 1180-1183. Piscataway, NJ, USA : IEEE.

C. Galup-Montoro, M. C. Schneider, A. L. Koerich, R. L. O. Pinto. 1994. « MOSFET threshold extraction from voltage-only measurements ». Electronics Letters. vol. 30 , nº 17. p. 1458-1459.

A. L. Koerich, M. C. Scheneider. 1994. « A new approach for MOSFET features extraction ». Communication lors de la conférence : X South Brazilian Conference of Science and Technology ( Blumenau, Brazil, Nov., 1994 )

A. L. Koerich, M. C. Scheneider. 1994. « A new approach for MOSFET features extraction ». Communication lors de la conférence : IV State Conference of Science ( Florianópolis, Brazil, Aug., 1994 )

A. L. Koerich, M. C. Scheneider. 1994. « Compound transistors for high gain and high frequency applications ». Communication lors de la conférence : X South Brazilian Conference of Science and Technology ( Blumenau, Brazil, Nov., 1994 )

A. L. Koerich, M. C. Scheneider. 1994. « MOSFET features extraction ». Communication lors de la conférence : X Brazilian Conference of Science and Technology ( São Carlos, Brazil, Dec., 1994 )

A. L. Koerich, M. C. Scheneider. 1994. « Series-parallel association of FET's for high gain and high frequency applications ». Communication lors de la conférence : X Brazilian Conference of Science and Technology ( São Carlos, Brazil, Dec., 1994 )

M. C. Schneider, C. Galup-Montoro, A. L. Koerich, R. L. O. Pinto. 1994. « MOSFET threshold extraction from voltage-only measurements ». IX Brazilian Microelectronics Congress (SBMICRO'1994) (Rio de Janeiro, Brazil, Aug., 1994) p. 216-222.

Ambrish Chandra, T. Wong, Louis-A. Dessaint. 1994. « Mesure de performances des générateurs de code de la compagnie Integrated Systems inc. ». Communication lors de la conférence : 62e Congrès de l'ACFAS ( Montréal, QC, Canada, 16-20 mai 1994 )

A. L. Koerich, H. J. Muller, R. Sander. 1993. « Dielectric constants in oxadiazol series ». 45th Meeting of Brazilian Society for the Progress of Science (SBPC) (Recife, Brazil, July, 1993) p. 21-29.

A. L. Koerich, H. J. Muller, R. Sander. 1993. « Ferroelectrical properties of pentilcarboxi-anilina ». 45th Meeting of Brazilian Society for the Progress of Science (Recife, Brazil, July, 1993) p. 91-98.

A. L. Koerich, M. C. Scheneider. 1993. « Application of compound transistors in analog circuits design using sea-of-transistors ». Communication lors de la conférence : IX South Brazilian Conference of Science and Technology ( Santa Maria, Brazil, Nov., 1993 )

A. L. Koerich, M. C. Scheneider. 1993. « Compound transistors for analog MOS integrated circuits design on digital gate-arrays ». Communication lors de la conférence : IV State Conference of Science ( Florianópolis, Brazil, Aug., 1993 )

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