| Domain-adversarial training of neural networks Y Ganin, E Ustinova, H Ajakan, P Germain, H Larochelle, F Laviolette, ... The journal of machine learning research 17 (1), 2096-2030, 2016 | 2782 | 2016 |
| A convergence theorem for sequential learning in two-layer perceptrons M Marchand, M Golea, P Ruján EPL (Europhysics Letters) 11 (6), 487, 1990 | 204 | 1990 |
| Domain-adversarial neural networks H Ajakan, P Germain, H Larochelle, F Laviolette, M Marchand arXiv preprint arXiv:1412.4446, 2014 | 201 | 2014 |
| PAC-Bayesian learning of linear classifiers P Germain, A Lacasse, F Laviolette, M Marchand Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 176 | 2009 |
| The set covering machine M Marchand, J Shawe-Taylor The Journal of Machine Learning Research 3, 723-746, 2002 | 154 | 2002 |
| Risk bounds for the majority vote: From a PAC-Bayesian analysis to a learning algorithm P Germain, A Lacasse, F Laviolette, M Marchand, JF Roy arXiv preprint arXiv:1503.08329, 2015 | 87 | 2015 |
| PAC-Bayes bounds for the risk of the majority vote and the variance of the Gibbs classifier A Lacasse, F Laviolette, M Marchand, P Germain, N Usunier NIPS, 769-776, 2006 | 87 | 2006 |
| A growth algorithm for neural network decision trees M Golea, M Marchand EPL (Europhysics Letters) 12 (3), 205, 1990 | 79 | 1990 |
| Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons A Drouin, S Giguère, M Déraspe, M Marchand, M Tyers, VG Loo, ... BMC genomics 17 (1), 1-15, 2016 | 65 | 2016 |
| Learning with Decision Lists of Data-Dependent Features. M Marchand, M Sokolova, MK Warmuth Journal of Machine Learning Research 6 (4), 2005 | 63 | 2005 |
| Feature selection with conjunctions of decision stumps and learning from microarray data M Shah, M Marchand, J Corbeil IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (1), 174-186, 2011 | 61 | 2011 |
| From PAC-Bayes bounds to quadratic programs for majority votes JF Roy, F Laviolette, M Marchand ICML, 2011 | 58 | 2011 |
| On learning simple neural concepts: from halfspace intersections to neural decision lists M Marchand, M Golea Network: Computation in Neural Systems 4 (1), 67-85, 1993 | 55 | 1993 |
| Learning by minimizing resources in neural networks M Marchand, P Rujan Complex Systems 3, 229-241, 1989 | 53 | 1989 |
| HIV-1 coreceptor usage prediction without multiple alignments: an application of string kernels S Boisvert, M Marchand, F Laviolette, J Corbeil Retrovirology 5 (1), 1-14, 2008 | 46 | 2008 |
| Nonconvex interactions and the occurrence of modulated phases M Marchand, K Hood, A Caillé Physical review letters 58 (16), 1660, 1987 | 45 | 1987 |
| PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers. F Laviolette, M Marchand Journal of Machine Learning Research 8 (7), 2007 | 42 | 2007 |
| Learning a peptide-protein binding affinity predictor with kernel ridge regression S Giguere, M Marchand, F Laviolette, A Drouin, J Corbeil BMC bioinformatics 14 (1), 82, 2013 | 41 | 2013 |
| Machine learning assisted design of highly active peptides for drug discovery S Giguere, F Laviolette, M Marchand, D Tremblay, S Moineau, X Liang, ... PLoS Comput Biol 11 (4), e1004074, 2015 | 40 | 2015 |
| A geometric approach to learning in neural networks P Rujan, M Marchand Proceedings of the International Joint Conference on Nerual Networks II 105, 109, 1989 | 39 | 1989 |
François LavioletteUniversité Laval, Associate member at MILAAdresse e-mail validée de ift.ulaval.ca
