| From dynamic classifier selection to dynamic ensemble selection AHR Ko, R Sabourin, AS Britto Jr Pattern recognition 41 (5), 1718-1731, 2008 | 533 | 2008 |
| Pairwise fusion matrix for combining classifiers AHR Ko, R Sabourin, A de Souza Britto Jr, L Oliveira Pattern recognition 40 (8), 2198-2210, 2007 | 66 | 2007 |
| Topography-aware sensor deployment optimization with CMA-ES V Akbarzadeh, AHR Ko, C Gagné, M Parizeau Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010 | 44 | 2010 |
| Leave-one-out-training and leave-one-out-testing hidden Markov models for a handwritten numeral recognizer: the implications of a single classifier and multiple classifications AHR Ko, PR Cavalin, R Sabourin, A de Souza Britto IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2168 …, 2008 | 42 | 2008 |
| Compound diversity functions for ensemble selection AHR Ko, R Sabourin, A de Souza Britto Jr International Journal of Pattern Recognition and Artificial Intelligence 23 …, 2009 | 27 | 2009 |
| The implication of data diversity for a classifier-free ensemble selection in random subspaces AHR Ko, R Sabourin, LES de Oliveira, A de Souza Britto 2008 19th International Conference on Pattern Recognition, 1-5, 2008 | 19 | 2008 |
| Evolving ensemble of classifiers in random subspace AHR Ko, R Sabourin, AS Britto Jr Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 16 | 2006 |
| Single Classifier-based Multiple Classification Scheme for weak classifiers: An experimental comparison AHR Ko, R Sabourin Expert systems with applications 40 (9), 3606-3622, 2013 | 13 | 2013 |
| Ensemble of HMM classifiers based on the clustering validity index for a handwritten numeral recognizer AHR Ko, R Sabourin, AS Britto Pattern Analysis and Applications 12, 21-35, 2009 | 13 | 2009 |
| Process of 3D wireless decentralized sensor deployment using parsing crossover scheme AHR Ko, F Gagnon Applied Computing and Informatics 11 (2), 89-101, 2015 | 12 | 2015 |
| Performance of distributed multi-agent multi-state reinforcement spectrum management using different exploration schemes AHR Ko, R Sabourin, F Gagnon Expert systems with applications 40 (10), 4115-4126, 2013 | 12 | 2013 |
| A new dynamic ensemble selection method for numeral recognition AHR Ko, R Sabourin, A de Souza Britto Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague …, 2007 | 12 | 2007 |
| A new HMM-based ensemble generation method for numeral recognition AHR Ko, R Sabourin, A de Souza Britto Multiple Classifier Systems: 7th International Workshop, MCS 2007, Prague …, 2007 | 12 | 2007 |
| A dominance-based stepwise approach for sensor placement optimization AHR Ko, AL Jousselme, R Sabourin, F Gagnon Applied Soft Computing 28, 466-482, 2015 | 6 | 2015 |
| Static and dynamic selection of ensemble of classifiers AHR Ko École de technologie supérieure, 2007 | 6 | 2007 |
| A novel measure for data stream anomaly detection in a bio-surveillance system AHR Ko, AL Jousselme, P Maupin 14th International Conference on Information Fusion, 1-7, 2011 | 5 | 2011 |
| A coverage dominance approach for sensor deployment optimization AHR Ko, AL Jousselme, P Maupin 14th International Conference on Information Fusion, 1-8, 2011 | 4 | 2011 |
| A New HMM training and testing scheme AHR Ko, R Sabourin, A de Souza Britto 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 4 | 2008 |
| Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications A HUNG-REN KO, P RODRIGO CAVALIN, R Sabourin, ... IEEE transactions on pattern analysis and machine intelligence 31 (12), 2168 …, 2009 | 3 | 2009 |
| Using additional neighborhood information in a dynamic ensemble selection method: improving the KNORA approach LM Vriesmann, LES Oliveira, A de Souza Britto Jr, R Sabourin, AHR Ko 17th International Conference on Systems, Signals and Image Processing …, 2010 | 2 | 2010 |
