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Gilles Gasso
Gilles Gasso
INSA Rouen Normandie, LITIS Laboratory
Verified email at insa-rouen.fr
Title
Cited by
Cited by
Year
Logistic regression
G Gasso
INSA Rouen-ASI Departement Laboratory: Saint-Etienne-du-Rouvray, France, 1-30, 2019
5842019
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
3632009
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
2492014
Identification des systèmes dynamiques non-linéaires: approche multi-modèle
K Gasso
Institut National Polytechnique de Lorraine, 2000
1002000
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
842011
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
792001
A multiple kernel framework for inductive semi-supervised SVM learning
X Tian, G Gasso, S Canu
Neurocomputing 90, 46-58, 2012
692012
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
54*2020
Palmprint recognition with an efficient data driven ensemble classifier
I Rida, R Herault, GL Marcialis, G Gasso
Pattern Recognition Letters 126, 21-30, 2019
522019
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
502004
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
422015
Adaptive canonical correlation analysis based on matrix manifolds
F Yger, M Berar, G Gasso, A Rakotomamonjy
arXiv preprint arXiv:1206.6453, 2012
422012
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
412011
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
392019
Screening sinkhorn algorithm for regularized optimal transport
MZ Alaya, M Berar, G Gasso, A Rakotomamonjy
Advances in Neural Information Processing Systems 32, 2019
392019
Fast object detection in compressed jpeg images
B Deguerre, C Chatelain, G Gasso
2019 IEEE intelligent transportation systems conference (ITSC), 333-338, 2019
252019
Learning constrained task similarities in graphregularized multi-task learning
R Flamary, A Rakotomamonjy, G Gasso
Regularization, Optimization, Kernels, and Support Vector Machines 103, 2014
242014
Screening rules for lasso with non-convex sparse regularizers
A Rakotomamonjy, G Gasso, J Salmon
International Conference on Machine Learning, 5341-5350, 2019
232019
Regularization Paths for ν-SVM and ν-SVR
G Loosli, G Gasso, S Canu
Advances in Neural Networks–ISNN 2007: 4th International Symposium on Neural …, 2007
192007
Structure identification of multiple models with output error local models
K Gasso, G Mourot, J Ragot
IFAC Proceedings Volumes 35 (1), 151-156, 2002
182002
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