Publications

Year 2006:

Journals

  1. Ma, I., Wong, T., Sankar, T., An Engineering Approach to Forecast Volatility of Financial Indices, International Journal of computational Intelligence, vol 3, no 1, 2006, pp. 23-35.
     

  2. Cheriet, M., Doré, V., Amincissement-sans-segmentation et rehaussement des images de niveau de gris par un filtre de chocs utilisant des champs de diffusion, Traitement du Signal, In Press.
     

  3. Fataicha, Y., Cheriet, M., Nie, J.Y., Suen, C.Y., Retrieving Poorly Degraded OCR Documents, International Journal for Document Analysis and Recognition, In Press.
     

  4. Ben Braiek, E., Cheriet, M., Doré, V., SKCS- une nouvelle famille de noyaux à support compact appliquée à la segmentation des données visuelles manuscrites, Traitement du Signal, In Press.
     

  5. Oliveira, L. S., Morita, M. E., Sabourin, R., Feature selection for ensembles applied to handwriting recognition, International Journal on Document Analysis and Recognition, vol.8, no. 4, 2006, pp. 262.
     

  6. Landry, J.A., Da Costa, Luis E., Bernier, T., Discriminant Feature Selection by Genetic Programming: Towards a Domain Independent Multi-Class Object Detection System, Journal of Systemics, Cybernetics and Informatics, In Press.
     

  7. Ma I., Wong, T. Sankar,T., Volatility Forecast by Discrete Stochastic Optimization and Genetic Algorithms, Journal of New Mathematics and Natural Computation, In Press.
     

  8. Nonnon P., Cervera, D., Bigras, P., Wong, T., Comprendre les systèmes hydrauliques et pneumatiques industriels, Res Academica, vol.23, no. 2, 2006, pp. 169-186.
     

  9. Braiek, E. Ben, Cheriet, M., Doré,V., Conception d'une nouvelle famille de noyaux séparables à support compact appliqués à l'extraction des données visuelles manuscrites, revue Traitement du signal, vol.23, no. 1, 2006, pp. 27-40.
     

  10. Cheriet, M., Doré, V., Amincissement-sans-segmentation et rehaussement des images de niveau de gris par un filtre de chocs utilisant des champs de diffusion, revue Traitement du signal, vol.23, no. 1, 2006, pp. 79-94.
     


Book Chapter

  1. Oliveira, L.S., Morita, M.E. and Sabourin, R., Feature selection for ensemble using the MOO approach, Multi-objective Machine Learning, Springer Series on Studies in Computational Intelligence (SCI) 16, p. 49-74 (2006).
     


Conferences

  1. M. Toews, D. Louis Collins and T. Arbel.  A Statistical Parts-based Appearance Model of Intersubject Variability. International Conference on Medical Image Computing and Computer Assisted Intervention, 2006.                                                                                                                                                                                                             
  2. F. Riggi, M. Toews and T. Arbel. Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters. International Conference on Pattern Recognition, 2006.                                                                                                                                                      
  3. Boulianne G., Beaumont J.-F., Boisvert M., Brousseau J., Cardinal P., Chapdelaine C., Comeau M., Ouellet P., and Osterrath F. Computer-Assisted Closed-Captioning of Live TV Broadcasts in French. Proceedings of
    2006 Interspeech - ICSLP, 2006.

     
  4. Cavalin, P. R., Britto Jr., A. de S., Bortolozzi, F., Sabourin, R., Oliveira, L. E. S., An Implicit Segmentation-based Method for Recognition of Handwritten Strings of Characters, In the Proceedings of The 21st Annual ACM Symposium on Applied Computing, Dijon, France, April 23-27, 2006, pp. 836-840.
     

  5. Mezghani, N., Mitiche, A., Cheriet, M., Estimation de densité de probabilité par maximum d'entropie et reconnaissance bayesienne de caractères Arabes en-ligne, 15e congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (RFIA 2006), 2006.
     

  6. Latombe, G., Granger, E., Dilkes, F., A Comparison of Techniques for Learning Transition Probabilities for Grammatical Modeling in Electronic Support, 2006 Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP),Toulouse, France, May 14-19, 2006.
     

  7. Da Costa, Luis E., Landry, J.A., Relaxed Genetic Programming., À être publié dans les Proceedings de GECCO 2006 (Genetic and Evolutionary Computation Conference). Seattle, WA, USA. 8-12 Juillet.
     

  8. Wong, T., De Kelper, B., Bigras, P., Structured Controller Design using Evolution Strategies: A Computational Analysis, International Symposium on Industrial Electronics, Montreal, July 9-13, 2006, pp. 2984-2989.
     

  9. Radtke, P., Wong, T., Sabourin,R., An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization, IEEE World Congress on Computational Intelligence (WCCI 2006) - International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, BC, July 16-21, 2006.
     

  10. Ko, A., Sabourin, R., Britto Jr, A., Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces , IEEE World Congress on Computational Intelligence (WCCI 2006) - International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, BC, July 16-21, 2006.
     

  11. Dos Santos, E.M., Sabourin, R., Maupin, P., Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers, IEEE World Congress on Computational Intelligence (WCCI 2006) - International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, BC, July 16-21, 2006.
     

  12. Adankon, M.M., Cheriet,M., New Formulation of SVM for Model Selection, IEEE World Congress on Computational Intelligence (WCCI 2006) - International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, BC, July 16-21, 2006, p.3566-3573.
     

  13. Granger, E., Henniges, P., Oliveira, L.S., Sabourin, R., Particle Swarm Optimization of Fuzzy ARTMAP Parameters , IEEE World Congress on Computational Intelligence (WCCI 2006) - International Joint Conference on Neural Networks (IJCNN 2006), Vancouver, BC, July 16-21, 2006.
     

  14. Ko, A., Sabourin, R., Britto Jr, A., A New Objective Function for Ensemble Selection in Random Subspaces, 18th International Conference on Pattern Recognition (ICPR2006), Hong Kong, China, 20-24 August 2006.
     

  15. Ko, A., Sabourin, R., Britto Jr, A., Evolving Ensemble of Classifiers in Random Subspace , Genetic and Evolutionary Computation Conference (GECCO 2006), Seattle, WA, USA, July 8-12 2006.
     

  16. Rivard, D., Granger, E., Sabourin, R., Feature Selection Techniques For Classification Of Satellite Images With Fuzzy Artmap Neural Networks , Proceedings of Artificial Neural Networks In Engineering (ANNIE), St. Louis, MO, USA, November 5-8, 2006.
     

  17. Henniges, P.,Granger, E., Sabourin, R., Impact of FAM MT strategies on the recognition of handwritten digits, Proceedings of Artificial Neural Networks In Engineering (ANNIE), St. Louis, MO, USA, November 5-8, 2006.
     

  18. Wong, T., Cormier, G., Bond Graph Causality Assignment and Evolutionary Multi-Objective Optimization, International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, December 4-14, 2006.
     

  19. Koerich, A., Britto Jr, A., Oliveira, L., Sabourin, R., Fusing High- and Low-Level Features for Handwritten Word Recognition, In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), 2006.
     

  20. Radtke, P., Sabourin, R., Wong, T., Classification System Optimization with Multi-Objective Genetic Algorithms, In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), 2006.
     

  21. Milgram, J., Cheriet, M., Sabourin, R., "One Against One" or "One Against All": Which One is Better for Handwriting Recognition with SVMs?, In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), 2006.
     

  22. Vellasques, E., Oliveira, L., Britto Jr., A., Koerich, A., Sabourin, R., Modeling Segmentation Cuts Using Support Vector Machines, In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), 2006.
     

  23. Chion, C., Da Costa, L. E., and Landry, J.-A., Genetic Programming for Agricultural Purposes, In 8th Annual Genetic and Evolutionary Computation Conference (GECCO 2006), Seattle, WA, USA, July 8-12, 2006.