| A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, ... Journal of neural engineering 15 (3), 031005, 2018 | 1978 | 2018 |
| SimpleMKL A Rakotomamonjy, F Bach, S Canu, Y Grandvalet Journal of Machine Learning Research 9, 2491-2521, 2008 | 1850 | 2008 |
| Optimal transport for domain adaptation N Courty, R Flamary, D Tuia, A Rakotomamonjy IEEE transactions on pattern analysis and machine intelligence 39 (9), 1853-1865, 2016 | 1498* | 2016 |
| Variable selection using SVM-based criteria A Rakotomamonjy Journal of machine learning research 3 (Mar), 1357-1370, 2003 | 950 | 2003 |
| Pot: Python optimal transport R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ... Journal of Machine Learning Research 22 (78), 1-8, 2021 | 822 | 2021 |
| BCI competition III: Dataset II-ensemble of SVMs for BCI P300 speller A Rakotomamonjy, V Guigue Biomedical Engineering, IEEE Transactions on 55 (3), 1147-1154, 2008 | 665 | 2008 |
| Svm and kernel methods matlab toolbox S Canu, Y Grandvalet, V Guigue, A Rakotomamonjy Perception Systmes et Information, INSA de Rouen, Rouen, France 2, 2005 | 592 | 2005 |
| Joint Distribution Optimal Transportation for Domain Adaptation N Courty, R Flamary, A Habrard, A Rakotomamonjy Advances in Neural Information Processing Systems, 2017 | 581 | 2017 |
| Pedestrian detection using infrared images and histograms of oriented gradients F Suard, A Rakotomamonjy, A Bensrhair, A Broggi Intelligent Vehicles Symposium, 2006 IEEE, 206-212, 2006 | 430 | 2006 |
| More efficiency in multiple kernel learning A Rakotomamonjy, F Bach, S Canu, Y Grandvalet Proceedings of the 24th international conference on Machine learning, 775-782, 2007 | 401 | 2007 |
| Recovering sparse signals with a certain family of nonconvex penalties and DC programming G Gasso, A Rakotomamonjy, S Canu IEEE Transactions on Signal Processing 57 (12), 4686-4698, 2009 | 387 | 2009 |
| Histogram of gradients of time–frequency representations for audio scene classification A Rakotomamonjy, G Gasso IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (1), 142-153, 2014 | 275 | 2014 |
| Optimizing AUC with support vector machine (SVM) A Rakotomamonjy Proceedings of European Conference on Artificial Intelligence Workshop on …, 2004 | 249* | 2004 |
| Support vector machines with a reject option Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu Advances in neural information processing systems 21, 2008 | 230 | 2008 |
| Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms A Rakotomamonjy Signal processing 91 (7), 1505-1526, 2011 | 185 | 2011 |
| A pedestrian detector using histograms of oriented gradients and a support vector machine classifier M Bertozzi, A Broggi, M Del Rose, M Felisa, A Rakotomamonjy, F Suard Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE, 143-148, 2007 | 169 | 2007 |
| Ensemble of SVMs for improving brain computer interface P300 speller performances A Rakotomamonjy, V Guigue, G Mallet, V Alvarado Artificial Neural Networks: Biological Inspirations–ICANN 2005, 45-50, 2005 | 162 | 2005 |
| Composite kernel learning M Szafranski, Y Grandvalet, A Rakotomamonjy Proceedings of the 25th international conference on Machine learning, 1040-1047, 2008 | 161 | 2008 |
| Operator-valued kernels for learning from functional response data H Kadri, E Duflos, P Preux, S Canu, A Rakotomamonjy, J Audiffren Journal of Machine Learning Research 17 (20), 1-54, 2016 | 143 | 2016 |
| Wasserstein discriminant analysis R Flamary, M Cuturi, N Courty, A Rakotomamonjy Machine Learning 107, 1923-1945, 2018 | 136 | 2018 |
Rémi FlamaryCMAP, École Polytechnique, Institut Polytechnique de Paris在 polytechnique.edu 的电子邮件经过验证
