Gilles Gasso
Gilles Gasso
INSA Rouen Normandie, LITIS Laboratory
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Logistic regression
G Gasso
INSA Rouen-ASI Departement Laboratory, 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
Identification des systèmes dynamiques non-linéaires: approche multi-modèle
K Gasso
Vandoeuvre-les-Nancy, INPL, 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
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
Palmprint recognition with an efficient data driven ensemble classifier
I Rida, R Herault, GL Marcialis, G Gasso
Pattern Recognition Letters 126, 21-30, 2019
Adaptive canonical correlation analysis based on matrix manifolds
F Yger, M Berar, G Gasso, A Rakotomamonjy
arXiv preprint arXiv:1206.6453, 2012
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
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
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
Structure identification of multiple models with output error local models
K Gasso, G Mourot, J Ragot
IFAC Proceedings Volumes 35 (1), 151-156, 2002
Learning constrained task similarities in graphregularized multi-task learning
R Flamary, A Rakotomamonjy, G Gasso
Regularization, Optimization, Kernels, and Support Vector Machines 103, 2014
Regularization Paths for ν-SVM and ν-SVR
G Loosli, G Gasso, S Canu
International Symposium on Neural Networks, 486-496, 2007
Screening sinkhorn algorithm for regularized optimal transport
MZ Alaya, M Berar, G Gasso, A Rakotomamonjy
arXiv preprint arXiv:1906.08540, 2019
Identification of an output error Takagi-Sugeno model
K Gasso, G Mourot, J Ragot
Smc 2000 conference proceedings. 2000 ieee international conference on …, 2000
Partial optimal transport with applications on positive-unlabeled learning
L Chapel, MZ Alaya, G Gasso
arXiv preprint arXiv:2002.08276, 2020
Fast object detection in compressed JPEG Images
B Deguerre, C Chatelain, G Gasso
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 333-338, 2019
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