Éric Granger

Éric Granger
Professeur
Degrees B.Sc.A. (UQAM), M.Sc.A., Ph.D. (Polytechnique)
Office A-3481
Presentation

Département de génie des systèmes

Research interests:

  • Information and Communications Technologies
  • Health

Research areas:

  • Incremental and On-Line Learning
  • Biometrics
  • Evolutionary Computation
  • Pattern recognition
  • Faces recognition
  • Computer and Network Security
  • Multi-Classifier Systems
  • Adaptive and Intelligent systems
  • Video Surveillance
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Computer Vision - ECCV 2014 Workshops. Proceedings: LNCS 8926
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13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
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Image Analysis and Recognition : 4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007. Proceedings
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International Joint Conference on Neural Networks (IJCNN)
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6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017)
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2015 12th IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS)
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Proceedings - International Conference on Pattern Recognition
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9th International Workshop on Multiple Classifier Systems (MCS)
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10th International Conference on Document Analysis and Recognition (ICDAR)
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20th International Conference on Pattern Recognition (ICPR)
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10th International Workshop on Multiple Classifier Systems (MCS)
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Pattern recognition technologies and applications : recent advances
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Proceedings of the 1998 International Symposium on Circuits and Systems (ISCAS'98)
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Proceedings of the third International Conference on Cognitive and Neural Systems (ICCNS'99)
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ISCAS 2000 Geneva : proceedings of the 2000 IEEE International Symposium on Circuits and Systems
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Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)
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2015 IEEE International Symposium on Circuits and Systems (ISCAS). Proceedings
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2015 IEEE International Conference on Image Processing (ICIP)
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23rd International Conference on Pattern Recognition (ICPR)
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8th International Conference on Image Processing Theory, Tools and Applications (IPTA 2018) - Proceedings
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IEEE Congress on Evolutionary Computation
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IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)
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Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods
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IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA)
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21st International Conference on Pattern Recognition (ICPR)
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Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop (ANNPR)
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International Joint Conference on Neural Networks 2015
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The 2012 International Joint Conference on Neural Networks (IJCNN)
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2014 22nd International Conference on Pattern Recognition (ICPR)
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5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013)
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2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA)
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2015 IEEE Symposium Series on Computational Intelligence
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5th International Conference on Imaging for Crime Detection and Prevention, ICDP 2013
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New Trends in Image Analysis and Processing - ICIAP 2013 International Workshops, Naples, Italy, September 9-13, 2013. Proceedings
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2012 International Conference on Frontiers in Handwriting Recognition (ICFHR)
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CEUR Workshop Proceedings
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Proceedings. 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR)
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2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)
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Similarity-Based Pattern Recognition : Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings
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IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)
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Machine Learning and Data Mining in Pattern Recognition : 1st WIPRA Workshop on Intelligent Pattern Recognition and Analysis : Poster and WIPRA Workshop Proceedings
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IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)
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13th Conference on Computer and Robot Vision
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IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)
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Proceedings of the International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing (NICROSP'96)
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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
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IEEE International Joint Conference on Neural Networks (IJCNN)
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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)
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Advances in neural information processing systems 11 : proceedings of the 1998 conference
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International Joint Conference on Neural Networks (IJCNN)
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Handbook of Pattern Recognition and Computer Vision
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Smart Systems Engineering—Computational Intelligence in Architecting Engineering Systems
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IEEE World Congress on Evolutionary Computation (WCCI)
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Neural Networks for Signal Processing XI : Proceedings of the 2001 IEEE Signal Processing Society Workshop
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IEEE International Joint Conference on Neural Networks (IJCNN)
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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)
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1st Conference on Medical Imaging with Deep Learning (MIDL 2018)
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Advances in Visual Computing : 11th International Symposium, ISVC 2015, Las Vegas, NV, USA, December 14-16, 2015, Proceedings, Part II
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IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA)
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20th International Conference on Pattern Recognition (ICPR)
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10th International Workshop on Multiple Classifier Systems (MCS)
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IEEE International Conference on Communications (ICC)
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Canadian Conference on Electrical and Computer Engineering (CCECE)
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Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)
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2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)
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IEEE International Conference on Image Processing (ICIP)
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79e Congrès de l'ACFAS
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Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016)
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Computer Vision – ACCV 2016 Workshops : ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III
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ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings
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2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM). Proceedings
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Adaptive Biometric Systems: Recent Advances and Challenges
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The 2012 International Joint Conference on Neural Networks (IJCNN)
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Artificial Neural Networks in Pattern Recognition. 6th IAPR TC 3 International Workshop, ANNPR 2014. Proceedings
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14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)
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2017 International Joint Conference on Neural Networks (IJCNN)
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14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)
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Handbook of Pattern Recognition and Computer Vision
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IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)
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6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)
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Machine Learning and Data Mining in Pattern Recognition : 1st WIPRA Workshop on Intelligent Pattern Recognition and Analysis : Poster and WIPRA Workshop Proceedings
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International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry
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21st International Conference on Pattern Recognition (ICPR)
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21st International Conference on Pattern Recognition (ICPR)
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Intelligent Engineering Systems through Artificial Neural Networks
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NeurIPS 2018 Workshop on Security in Machine Learning
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Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016)
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Artificial Neural Networks in Pattern Recognition : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings
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23rd International Conference on Pattern Recognition (ICPR)
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IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA)
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6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)
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Handbook of Pattern Recognition and Computer Vision
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Recent Advances in Computational Intelligence in Defense and Security
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GECCO'12 : Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference
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9th International Conference on Image and Graphics, ICIG 2017; Shanghai; China; 13 September 2017 through 15 September 2017
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32nd Conference on Neural Information Processing Systems (NIPS)
Courses and support services

Assistance to students

Mémoire à 24 crédits

    Co-directed by: Sabourin, Robert
    PSO pour l'apprentissage supervisé des réseaux neuronaux de type fuzzy ARTMAP, by Henniges,Philippe.
    Summer 2006

    Fast incremental learning of stochastic context-free grammars in radar electronic support, by Latombe,Guillaume.
    Fall 2006

Thèse de doctorat (recherche appliquée)

    Co-directed by: Fumera, Giorgio
    Face Re-identification in Imbalanced Video Surveillance Environnements, by Soleimani Samarin,Roghaiyeh.
    Summer 2019

    Co-directed by: Miri, Ali
    Towards Adaptive Anomaly Detection Systems using Boolean Combination of Hidden Markov Models, by Khreich,Wael.
    Summer 2011

    Co-directed by: Sabourin, Robert
    Adapting Heterogeneous Ensembles with Particle Swarm Optimization for Video Face Recognition, by Connolly,Jean-François.
    Summer 2012

    Co-directed by: Sabourin, Robert
    Adaptive Multi-Classifier Systems for Face Re-Identification Applications, by De la Torre Gomora,Miguel Angel.
    Fall 2014

    Co-directed by: Sabourin, Robert
    Adaptive Classifier Ensembles for Face Recognition in Video-Surveillance, by Pagano,Christophe.
    Summer 2015

    Co-directed by: Bilodeau, Guillaume-Alexandre
    Face Recognition in Video Surveillance from a Single Reference Sample Through Domain Adaptation, by Bashbaghi,Saman.
    Summer 2017

    Co-directed by: Bilodeau, Guillaume-Alexandre
    Synthetic Face Generation for Still-to-Video Face Recognition, by Mokhayyeri,Faniya.
    Summer 2019

    Fast Multi-Face Tracking in Video Surveillance, by Madhu Kiran,Madhu Kiran.
    Summer 2019

    Fast CNN for Face/Head in Video Surveillance Applications, by Nguyen-Meidine,Le Thanh.
    Summer 2019

    Co-directed by: Pedersoli, Marco
    Object Detection with Weakly-supervised Deep Architectures, by Pilakkatt Meethal,Akhil.
    Summer 2019

    Co-directed by: Cardinal, Patrick
    Machine Learning Techniques for Detection of Fatigue in Subjects with of Neurological Diseases, by Rajasekar,Gnanapraveen.
    Summer 2019

Projet d'application à 9 crédits

    La détection de nouveauté réseaux de neurones artificiels de type ARTMAP, by Klyuchnikov,Yuriy.
    Winter 2007

    Comparaison des réseaux de neurones probabilistes de la famille ARTMAP et discrimination de familiarité, by Lefrançois,Germain.
    Fall 2007

Mémoire à 30 crédits

    Co-directed by: Thibeault, Claude
    Réalisation de classificateurs neuroniques pour la reconnaissance à basse puissance de visages dans des séquences vidéo, by Prieur,Donavan.
    Winter 2012

    Co-directed by: Hadid, Abdenour
    Local Quality-Based Matching of Faces for Watchlist Screening Applications, by Amara,Ibtihel.
    Fall 2015

    Co-directed by: Ben Ayed, Ismail
    Utilisation de l'intelligence artificielle pour prédire les risques du cancer, by Rony,Jérôme.
    Summer 2019

    Détection et identification de visage en temps réel dans un système compact et en mouvement, by Lemoine St-André,Hugo.
    Summer 2019

    Diagnostique assisté par ordinateur avec des images médicales faiblement annotées, by Shorten,Lucas.
    Summer 2019

    Co-directed by: Pedersoli, Marco
    Apprentissage profond pour la reconnaissance spatio-temporelle d'expressions faciales, by Ayral,Théo.
    Summer 2019

Projet d'application à 15 crédits

    Conception de système de reconnaissance spatio-temporelle de visages sur vidéo à partir d'une seule image de référence, by Charette Migneault,Francis.
    Fall 2017

    Détection-tracking-reconnaissance de visages avec des CNN+RNN, by Masson,Hugo.
    Summer 2019

Publications
Peer-reviewed article published in a refereed journal (45)

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, p. 1441-1451.

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, p. 757-772.

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, 15 p. p. 247-261.

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, p. 5482-5493.

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.

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. « Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations ». Machine Vision and Applications, vol.28, p. 219-241.

Marc-André Carbonneau, Eric Granger, Yazid Attabi, Ghyslain Gagnon. 2017. « Feature learning from spectrograms for assessment of personality traits ». IEEE Transactions on Affective Computing, vol.,

George Ekladious, Robert Sabourin, Eric Granger. 2017. « Learning global-local distance metrics for signature-based biometric cryptosystems ». Cryptography, vol.1, p. 22.

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.

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.

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, 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, 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, p. 732-740.

Miguel De-la-Torre, Éric Granger, Paulo V. W. Radtke, Robert Sabourin, Dmitry O. Gorodnichy. 2014. « Partially-supervised learning from facial trajectories for face recognition in video surveillance ». Information Fusion, vol.24, p. 31-53.

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

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.

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, 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, p. 31-48.

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, p. 3149-3166.

George S. Eskander, Robert Sabourin, Éric Granger. 2013. « Hybrid writer-independent writer-dependent offline signature verification system ». IET Biometrics, vol.2, p. 169-181.

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, p. 6693-6706.

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, p. 83-103.

Saeed Samet, Ali Miri, Éric Granger. 2013. « Incremental learning of privacy-preserving Bayesian networks ». Applied Soft Computing, vol.13, 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, 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, p. 5240-5259.

L. Batista, E. Granger, R. Sabourin. 2012. « Dynamic selection of generative-discriminative ensembles for off-line signature verification ». Pattern Recognition, vol.45, 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, 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.

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, 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, 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, p. 2362-2378.

Eduardo Vellasques, Robert Sabourin, Éric Granger. 2011. « A high throughput system for intelligent watermarking of bi-tonal images ». Applied Soft Computing, vol.11, p. 5215-5229.

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, p. 33-47.

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, 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, 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, p. 1262-1289.

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, p. 27-60.

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, p. 551-557.

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, p. 524-528.

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, p. 325-344.

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, p. 249-269.

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, p. 3-18.

Conference report (92)

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..

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.

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)

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) 4 p.

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.

S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. CesaBianchi, R. Garnett. 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) La Jolla. Neural Information Processing Systems (NIPS).

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.

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) 7 p. 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) 6 p. 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) 6 p. IEEE.

Yao Zhao, Xiangwei Kong, David Taubman. 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.

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) 6 p. Piscataway, NJ, USA. IEEE.

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.

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.

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.

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) 6 p. 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)

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.

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.

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.

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.

M. De-la-Torre, Éric Granger, Robert Sabourin, D. O. Gorodnichy. 2014. « 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) 7 p. Stevenage, UK. IET.

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 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.

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.

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.

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. 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) 7 p. Institution of Engineering and Technology.

Alfredo Petrosino, Lucia Maddalena, Pietro Pala. 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.

Edwin Hancock, Marcello Pelillo. 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) 10 p. p. 141-150. Ibai Publishing.

Petra Perner. 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.

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) 8 p. 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) 8 p. 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.

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) 8 p. 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.

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.

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.

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.

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) 8 p. Piscataway, NJ, USA. Institute of Electrical and Electronics Engineers.

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) 8 p. 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.

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.

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) 8 p. 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) 8 p. 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) 6 p. Piscataway, NJ, USA. Institute of Electrical and Electronics Engineers.

Lionel Prevost, Simone Marinai, Friedhelm Schwenker. 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.

Cihan H. Dagli. 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) 10 p. The American Society of Mechanical Engineers.

Mohamed Kamel, Aurélio Campilho. 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.

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.

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.

Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, Okan Ersoy. 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) 8 p. 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.

Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, Okan Ersoy. 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) 8 p. p. 479-486. ASME.

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.

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.

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.

Shun-Ichi Amari. 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.

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.

Cihan H Dagli. 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.

Michael S. Kearns, Sara A. Solla, David A. Cohn. 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.

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.

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.

Book (2)

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 ». 166 p.

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

Chapter of book (6)

C. H. Chen. Donavan Prieur, Éric Granger, Yvon Savaria, Claude Thibeault. 2016. « Efficient identification of faces in video streams using low-power multi-core devices ». p. 427-454.

Rami Abielmona, Rafael Falcon, Nur Zincir-Heywood, A. Hussein Abbass. Eduardo Vellasques, Robert Sabourin, Éric Granger. 2016. « A dual-purpose memory approach for dynamic particle swarm optimization of recurrent problems ». p. 367-389.

Ajita Rattani, Fabio Roli, Éric Granger. C. Pagano, E. Granger, R. Sabourin, P. Tuveri, G. L. Marcialis, F. Roli. 2015. « Context-sensitive self-updating for adaptive face recognition ». p. 9-34.

C. H. Chen. Éric Granger, Philippe Henniges, Robert Sabourin, Luis S. Oliveira. 2010. « Match tracking strategies for fuzzy ARTMAP neural networks ». p. 73-100.

C. H. Chen. Eduardo Vellasques, Éric Granger, Robert Sabourin. 2010. « Intelligent watermarking systems : a survey ». p. 687-724.

Luana Batista, Dominique Rivard, Robert Sabourin, Éric Granger, Patrick Maupin. 2008. « State of the art in off-line signature verification ». p. 39-62.

Technical report (7)

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

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.

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.

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.

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.

Communication (2)

Éric Granger, S. Catudal, M. Grou, M. Mbaye, Y. Savia. 2004. « On current strategies for hardware acceleration of digital image restoration filters ». Communication during a conference : 2004 WSEAS International Conference on Signal, Speech and Image Processing (ICOSSIP) ( Izmir, Turkey, Sept. 12-16, 2004 )

P. Maupin, Éric Granger, Tony Wong, Robert Sabourin. 2004. « A review of situation recognition models and systems ». Communication during a conference : The 24th Army Science Conference (ASC 2004) ( Orlando, FL, USA, Nov. 29-Dec. 2, 2004 )

Poster (3)

M.-A. Cantin, Y. Blaquière, Y. Savaria, P. Lavoie, E. Granger. 2000. « Effets de quantification sur l'implantation digital du réseau de neurone Fuzzy ». Poster presented during a conference : Congrès de l'ACFAS ( Montreal, QC, Canada, 15-19 mai 2000 )

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 ». Poster presented during a conference : GRIAO - Research review ( , 1998 )

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 ». Poster presented during a conference : TEXPO, Symposium on Microelectronics Research & Development in Canada ( ,  )

Award and distinction