Logistic regression G Gasso
INSA Rouen-ASI Departement Laboratory: Saint-Etienne-du-Rouvray, France, 1-30, 2019
637 2019 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
393 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
280 2014 Partial optimal tranport with applications on positive-unlabeled learning L Chapel, MZ Alaya, G Gasso
Advances in Neural Information Processing Systems 33, 2903-2913, 2020
142 2020 Identification des systèmes dynamiques non-linéaires: approche multi-modèle K Gasso
Institut National Polytechnique de Lorraine, 2000
101 2000 A Rakotomamonjy, R Flamary, G Gasso, S Canu
IEEE Transactions on Neural Networks 22 (8), 1307-1320, 2011
97 2011 Structure identification in multiple model representation: elimination and merging of local models K Gasso, G Mourot, J Ragot
Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No …, 2001
82 2001 A multiple kernel framework for inductive semi-supervised SVM learning X Tian, G Gasso, S Canu
Neurocomputing 90, 46-58, 2012
72 2012 Gradient-based deterministic inversion of geophysical data with generative adversarial networks: is it feasible? E Laloy, N Linde, C Ruffino, R Hérault, G Gasso, D Jacques
Computers & Geosciences 133, 104333, 2019
67 2019 Palmprint recognition with an efficient data driven ensemble classifier I Rida, R Herault, GL Marcialis, G Gasso
Pattern Recognition Letters 126, 21-30, 2019
67 2019 Identification of switching systems using change detection technique in the subspace framework KM Pekpe, G Mourot, K Gasso, J Ragot
2004 43rd IEEE Conference on Decision and Control (CDC)(IEEE Cat. No …, 2004
55 2004 Screening sinkhorn algorithm for regularized optimal transport MZ Alaya, M Berar, G Gasso, A Rakotomamonjy
Advances in Neural Information Processing Systems 32, 2019
54 2019 Adaptive canonical correlation analysis based on matrix manifolds F Yger, M Berar, G Gasso, A Rakotomamonjy
arXiv preprint arXiv:1206.6453, 2012
53 2012 DC proximal Newton for nonconvex optimization problems A Rakotomamonjy, R Flamary, G Gasso
IEEE transactions on neural networks and learning systems 27 (3), 636-647, 2015
49 2015 Unbalanced optimal transport through non-negative penalized linear regression L Chapel, R Flamary, H Wu, C Févotte, G Gasso
Advances in Neural Information Processing Systems 34, 23270-23282, 2021
47 2021 Batch and online learning algorithms for nonconvex Neyman-Pearson classification G Gasso, A Pappaioannou, M Spivak, L Bottou
ACM transactions on intelligent systems and technology (TIST) 2 (3), 1-19, 2011
43 2011 Fast object detection in compressed jpeg images B Deguerre, C Chatelain, G Gasso
2019 ieee intelligent transportation systems conference (itsc), 333-338, 2019
37 2019 Optimal transport for conditional domain matching and label shift A Rakotomamonjy, R Flamary, G Gasso, ME Alaya, M Berar, N Courty
Machine Learning, 1-20, 2022
34 2022 Learning constrained task similarities in graphregularized multi-task learning R Flamary, A Rakotomamonjy, G Gasso
Regularization, Optimization, Kernels, and Support Vector Machines 103, 1, 2014
31 2014 Screening rules for lasso with non-convex sparse regularizers A Rakotomamonjy, G Gasso, J Salmon
International Conference on Machine Learning, 5341-5350, 2019
26 2019 
Alain RakotomamonjyCriteo AI LabZweryfikowany adres z insa-rouen.fr
