Gilles Gasso
Gilles Gasso
INSA Rouen Normandie, LITIS Laboratory
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Cited by
Cited by
Logistic regression
G Gasso
INSA Rouen-ASI Departement Laboratory: Saint-Etienne-du-Rouvray, France, 1-30, 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
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
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
Identification des systèmes dynamiques non-linéaires: approche multi-modèle
K Gasso
Institut National Polytechnique de Lorraine, 2000
Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning
A Rakotomamonjy, R Flamary, G Gasso, S Canu
IEEE Transactions on Neural Networks 22 (8), 1307-1320, 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
A multiple kernel framework for inductive semi-supervised SVM learning
X Tian, G Gasso, S Canu
Neurocomputing 90, 46-58, 2012
Palmprint recognition with an efficient data driven ensemble classifier
I Rida, R Herault, GL Marcialis, G Gasso
Pattern Recognition Letters 126, 21-30, 2019
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
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
Screening sinkhorn algorithm for regularized optimal transport
MZ Alaya, M Berar, G Gasso, A Rakotomamonjy
Advances in Neural Information Processing Systems 32, 2019
Adaptive canonical correlation analysis based on matrix manifolds
F Yger, M Berar, G Gasso, A Rakotomamonjy
arXiv preprint arXiv:1206.6453, 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
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
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
Fast object detection in compressed jpeg images
B Deguerre, C Chatelain, G Gasso
2019 ieee intelligent transportation systems conference (itsc), 333-338, 2019
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
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
Screening rules for lasso with non-convex sparse regularizers
A Rakotomamonjy, G Gasso, J Salmon
International Conference on Machine Learning, 5341-5350, 2019
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