Publications






Année 2017:

Revues

  1. Hafemann, L.G., Oliveira L.S. and Sabourin, R., Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks, Pattern Recognition, vol.70, October 2017, pp 163-176. [Code and Pre-trained models]

     
  2. Oliveira, D.V.R., Cavalcanti, G.D.C. and Sabourin, R., Online Pruning of Base Classifiers for Dynamic Ensemble Selection, Pattern Recognition, vol. 72, December 2017, pp 44-58. 

     
  3. Dolz J, Desrosiers C, Ben Ayed I., 3D fully convolutional networks for subcortical segmentation: A large-scale study, Neuroimage, April 2017. (Accepted) 

     
  4. Bashbaghi, S., Granger, E., Sabourin, R. and Bilodeau, G-A, Dynamic Ensembles of Exemplar-SVMs for Still-to-Video Face Recognition, Pattern Recognition, vol. 69, September 2017, pp 61-81. 

     
  5. Gorelick L., Boykov Y., Veksler O., Ben Ayed I., and Delong A., Local sub-modularization for binary pairwise energies, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017. (Accepted)

     
  6. Mathlouthi, Y.; Mitiche, A. and Ben Ayed, I., Regularized differentiation for image derivatives, IET Image processing, 2017. (Accepted)

     
  7. Cruz, M.O.R., Sabourin, R. and Cavalcanti, G.D.C, META-DES.Oracle: Meta-learning and Feature Selection for Dynamic Ensemble Selection, Information Fusion, vol. 38, November 2017, pp 84-103. 

  8. Bashbaghi, S., Granger, E., Sabourin, R. and Bilodeau, G-A, Robust Watch-List Screening Using Ensembles Based on Multiple Face Representations, Machine Vision and Applications, vol. 28, No 1, January 2017, pp. 219-241. 

     



Conférences

  1. Parchami M, Bashbaghi S, Granger E. and Sayed S, Using Deep Autoencoders to Learn Robust Domain-Invariant Representations for Still-to-Video Face Recognition, IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS), Leece, Italy, 29 Aug - 01 Sept 2017. 

     
  2. Parchami M, Bashbaghi S, Granger E, CNNs with Cross-Correlation Matching for Face Recognition in Video Surveillance Using a Single Training Sample Per Person, IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS), Leece, Italy, 29 Aug - 01 Sept 2017. 

     
  3. Dolz J, Ben Ayed I., Desrosiers C, Unbiased Shape Compactness for Segmentation, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec City 2017. (Accepted and Awarded with the Student Travel MICCAI Award)

  4. Dolz J, Desrosiers C, Ben Ayed I., DOPE: Distributed Optimization for Pairwise Energies, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, 21-25 July 2017. 

     
  5. Bashbaghi, S., Granger, E., Sabourin, R. and Bilodeau, G-A,, Dynamic Selection of Exemplar-SVMs for Watch-List Screening Through Domain Adaptation, 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM’2017), 24-26 February, Porto, Portugal, 2017. 

     
  6. Silva, E., Britto Jr., A.S., Oliveira, L.S., Enembreck, F., Sabourin, R., and Koerich, A., A Two-Step Cascade Classification Method, The International Joint Conference on Neural Networks (IJCNN'2017), Anchorage, Alaska, USA, 14-19 May 2017. 

     
  7. Mostafa Parchami, Saman Bashbaghi and Eric Granger, Video-Based Face Recognition Using Ensemble of Haar-Like Deep Convolutional Neural Networks, The International Joint Conference on Neural Networks (IJCNN'2017), Anchorage, Alaska, USA, 14-19 May 2017.. 

     
  8. Lévesque, J.C., Durand, A., Gagné, C. and Sabourin, R., Bayesian Optimization for Conditional Hyperparameter Spaces, The International Joint Conference on Neural Networks (IJCNN'2017), Anchorage, Alaska, USA, 14-19 May 2017.. 

     
  9. Souza, A.A., Cavalcanti, G.D.C., Cruz, M.O.R., and Sabourin, R., On the Characterization of the Oracle for Dynamic Classifier Selection, The International Joint Conference on Neural Networks (IJCNN'2017), Anchorage, Alaska, USA, 14-19 May 2017.. 

     
  10. Cruz, M.O.R., Sabourin, R. and Cavalcanti, G.D.C., Analyzing different prototype selection techniques for dynamic classifier and ensemble selection, The International Joint Conference on Neural Networks (IJCNN'2017), Anchorage, Alaska, USA, 14-19 May 2017.. 

     




Année 2016:

Revues

  1. Punithakumar K., Ben Ayed I., Afshin M., Goela A., Islam A., Li S., Boulanger P, Becher H., and Noga M., Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences, Computer Methods and Programs in Biomedicine, 124: 58–66, 2016. 

     
  2. Miles B., Ben Ayed I., Hojjat S-P, Wang M. H., Li S., Fenster A., and Garvin G. J., Spine labeling in axial magnetic resonance imaging via integral kernels, Computerized Medical Imaging and Graphics, 54: 27–34, 2, 2016. 

     
  3. Mathlouthi Y., Mitiche A., Ben Ayed I., Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth, Frontiers in ICT, Computer Image Analysis, 3: 1:14, 2016. 

     
  4. J.K. Pontes, A.S. Britto Jr., C. Fookes and A.L. Koerich, A Flexible Hierarchical Approach For Facial Age Estimation Based on Multiple Features, Pattern Recognition, 54 (4) 34-51, 2016. 

     
  5. Corriveau, G., Guilbault, R., Tahan, A. and Sabourin, R., "Bayesian Network as an Adaptive Parameter  Setting Approach for Genetic Algorithms", Complex & Intelligent Systems, accepted for publication, February 2016.                                                                

  6. Bernard, S., Châtelain, C., Adam, S.  and Sabourin, R.,  "The Multiclass ROC Front method for cost-sensitive classification Pattern Recognition, Vol 52, April 2016, pp 46-60.                                                                                                                                                                            
  7. Dewan, M.A.A., Granger, E., Marciallis, G.L., Sabourin, R. and Roli, F., "Adaptive Appearance Model Tracking for Still-to-Video Face Recognition," Pattern Recognition, Vol. 40, No. 1, January 2016, pp 129-151.                                                                                                                                           
  8. Diaz, M., Ferrer, M.A., Eskander, G.S. and Sabourin R., "Generation of Duplicated Off-line Signature Images for Verification Systems," IEEE Transactions on Pattern Analysis and Machine Intelligence, April 2016.                                                                                                                                  
  9. Carbonneau, Marc-André, Eric Granger, Alexandre J. Raymond, and Ghyslain Gagnon. "Robust multiple-instance learning ensembles using random subspace instance selection." Pattern Recognition, April 2016.                                                                                                                                 
  10. Cruz, M.O.R., Sabourin, R. and Cavalcanti, G.D.C., "Prototype Selection for Dynamic Classifier and Ensemble Selection," Neural Computing and Applications, July 2016. (Accepted).                                                                                                                                                                                                                                                                        
  11. Roy, A., Cruz, M.O.R., Sabourin, R. and Cavalcanti, G.D.C., "Meta-learning Recommendation of Default Size of Classifier Pool for META-DES," Neurocomputing, August 2016.


Conférences

  1. Tang M., Marin D., Ben Ayed I., and Boykov Y., Normalized cut meets MRF, European Conference on Computer Vision (ECCV), LNCS 9906: 748–765, October 2016, Amsterdam, 2016 (Oral). 

     
  2. Mathlouthi Y., Mitiche A., Ben Ayed I., Boundary preserving variational image differentiation, German Conference on Pattern Recognition (GCPR), LNCS 9796: 355–364, Hannover, Germany, September 2016. 

     
  3. Mathlouthi Y., Mitiche A., and Ben Ayed I., Calcul variationnel des dérivées d’une image et application à l’estimation du flot optique et du flot de scène, Reconnaissance de Formes et Intelligence Artificielle (RFIA), 1–7, Clermont-Ferrand, France, June 2016. 

     
  4. M. Senoussaoui, P. Cardinal, N. Dehak and A.L. Koerich, Native Language Detection using the I-Vector Framework, INTERSPEECH 2016, San Francisco, USA, pp.2398-2402, September 2016. 

     
  5. M.J. Cossetin, J.C. Nievola and A.L. Koerich, Facial Expression Recognition Using a Pairwise Feature Selection and Classification Approach, IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, pp.5149-5155, July 2016. 

     
  6. Ali A, Dehak N, Cardinal P, Khuranam S, Yella SH, Bell P and Renals S, Automatic Dialect Detection in Arabic Broadcast Speech, INTERSPEECH 2016, San Francisco, USA, pp.2398-2402, September 2016. 

     
  7. Boucher P, Plusquellec P, Dufour P, Dehak N, Cardinal P and Dumouchel P., PHYSIOSTRESS: A Multimodal Corpus of Data on Acute Stress and Physiological Activation, LREC 2016 Workshop on Multimedia Corpora: Computer vision and language processing, 2016. 

     
  8. Farshad Nourbakhsh and Eric Granger, "Learning of Graph Compressed Dictionaries for Sparse Representation Classification", 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2016                                                                  
  9. Roghayeh Soleymani , Eric Granger and Giorgio Fumera, "Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification", 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2016                                                                     
  10. Hafemann, L.G., Sabourin, R. and Oliveira L. S., "Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks," The International Conference on Neural Networks (IJCNN'2016), Vancouver, Canada, July 24-29, 2016. [Code and Pre-trained models]                                                                                                                                                                                            
  11. Brun, A.L., Britto Jr., A.S., Oliveira, L.S., Enembreck, F., and Sabourin, R., "Contribution of Data Complexity Features on Dynamic Classifier Selection," The International Conference on Neural Networks  (IJCNN'2016), Vancouver, Canada, July 24-29, 2016.                                                                                                                                                                                                                                  
  12. Lévesque, J.C., Gagné, C. and Sabourin, R., "Bayesian Hyperparameter Optimization for Ensemble Learning," 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York City, NY, USA, June 25 – 29, 2016.                                                                                                                                 
  13. Bertolini D., Oliveira L.S. and Sabourin R., "Multi-script Writer Identification using Dissimilarity," 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 4-8 December 2016.                                                                                                                                
  14. Hafemann, L.G., Sabourin, R. and Oliveira L.S., "Analyzing features learned for Offline Signature Verification using Deep CNNs," 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 4-8 December 2016.  [Code and Pre-trained models]                                                                                                                                  
  15. Diaz, M., Ferrer, M.A. and Sabourin, R., "Approaching the Intra-Class Variability in Multi-Script Static Signature Evaluation," 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 4-8 December 2016. 
                          
  16. Roy, A., Cruz, M.O.R., Sabourin, R. and Cavalcanti, G.D.C., "Meta-Regression based Pool Size Prediction Scheme for Dynamic Selection of Classifiers," 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 4-8 December 2016.                                                                                                                             
  17. Dubos, C., Bernard, S., Adam, S. and Sabourin, R., "ROC-based cost-sensitive classification with a reject option," 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 4-8 December 2016.

  18. Almeida, P.R.L., Britto Jr, A.S., Oliveira, L.S. and Sabourin, R., "Handling Concept Drifts Using Dynamic Selection of Classifiers," 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2016), San Jose, CA, USA, 6-8 November 2016. (Accepted for publication).
     
  19. Roghayeh Soleymani, Eric Granger, Giorgio Fumera, "Loss Factors for Learning Boosting Ensembles from Imbalanced Data," 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 4-8 December 2016.                                                                                                                           
  20. Marc-Andre Carbonneau, Eric Granger and Ghyslain Gagnon, "Witness identification in multiple instance learning using random subspaces," 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 4-8 December 2016.                                                                                                                           
  21. Farshad Nourbakhsh, Eric Granger and Giorgio Fumera, "An Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance," Workshop on Human Identification for Surveillance (HIS): Methods & Applications, The 13th Asian Conference on Computer Vision (ACCV’16), Taipei, Taiwan, Nov 20-24, 2016.

  22. Paulo R. Lisboa de Almeida, Luiz S. Oliveira, Alceu de Souza Britto Jr. and Robert Sabourin, "Handling Concept Drifts Using Dynamic Selection of Classifiers", IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2016.