Alain Rakotomamonjy

P. Marche, Alain Rakotomamonjy, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Optimal transport Applied to Transfer Learning for P300 Detection

Maureen Clerc, Alain Rakotomamonjy, Nathalie T. H. Gayraud, 2017, GBCIC.

Generic target recognition

Christophe Rosenberger, Bruno Emile, Alain Rakotomamonjy, 2004, 2004 12th European Signal Processing Conference.

More efficient sparsity-inducing algorithms using inexact gradient

Alain Rakotomamonjy, Liva Ralaivola, Sokol Koço, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

A comparison of statistical learning approaches for engine torque estimation

Alain Rakotomamonjy, R. Le Riche, David Gualandris, 2008 .

Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images

Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, 2014, Artif. Intell. Medicine.

Optimizing Area Under Roc Curve with SVMs

Alain Rakotomamonjy, A. Rakotomamonjy, 2004, ROCAI.

Support Vector Machines with a Reject Option

Yves Grandvalet, Stéphane Canu, Alain Rakotomamonjy, 2008, NIPS.

Multitemporal classification without new labels: A solution with optimal transport

Nicolas Courty, Alain Rakotomamonjy, Devis Tuia, 2015, 2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp).

BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller

Alain Rakotomamonjy, Vincent Guigue, A. Rakotomamonjy, 2008, IEEE Transactions on Biomedical Engineering.

Functional Regularized Least Squares Classication with Operator-valued Kernels pdf

Philippe Preux, Alain Rakotomamonjy, Asma Rabaoui, 2011, ICML.

Decoding Finger Movements from ECoG Signals Using Switching Linear Models

Alain Rakotomamonjy, Rémi Flamary, A. Rakotomamonjy, 2011, Front. Neurosci..

Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux pdf

Alain Rakotomamonjy, Rémi Flamary, Benjamin Labbé, 2010, ArXiv.

Filter bank Kernel Learning for nonstationary signal classification

Alain Rakotomamonjy, Maxime Sangnier, Jérôme Gauthier, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Kernel learning as minimization of the single validation estimate

Alain Rakotomamonjy, Maxime Sangnier, Jérôme Gauthier, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

ℓp-norm Multiple Kernel Learning with Low-rank Kernels

Alain Rakotomamonjy, Sukalpa Chanda, A. Rakotomamonjy, 2014, Neurocomputing.

Match and Reweight Strategy for Generalized Target Shift pdf

Nicolas Courty, Alain Rakotomamonjy, R'emi Flamary, 2020, ArXiv.

SVM with a reject option

Yves Grandvalet, Stéphane Canu, Alain Rakotomamonjy, 2007, NIPS 2007.

Early and Reliable Event Detection Using Proximity Space Representation

Alain Rakotomamonjy, Maxime Sangnier, Jérôme Gauthier, 2016, ICML.

Apprentissage de dictionnaires d'ondelettes vaste marge pour la classification de signaux et de textures

Florian Yger, Alain Rakotomamonjy, 2011, Rev. d'Intelligence Artif..

Screening Sinkhorn Algorithm for Regularized Optimal Transport

Alain Rakotomamonjy, Gilles Gasso, Mokhtar Z. Alaya, 2019, NeurIPS.

Perception d'états affectifs et apprentissage

Alain Rakotomamonjy, Gaëlle Loosli, Sans-Goog Lee, 2006, Rev. d'Intelligence Artif..

Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming

Stéphane Canu, Alain Rakotomamonjy, Gilles Gasso, 2009, IEEE Transactions on Signal Processing.

Selecting from an infinite set of features in SVM

Florian Yger, Alain Rakotomamonjy, Rémi Flamary, 2011, ESANN.

Classification de signaux invariante en translation

Stéphane Canu, Alain Rakotomamonjy, Vincent Guigue, 2005 .

Concave Losses for Robust Dictionary Learning

Alain Rakotomamonjy, Roberto Hirata, Rafael Will M. de Araujo, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Early frame-based detection of acoustic scenes

Alain Rakotomamonjy, Maxime Sangnier, Jérôme Gauthier, 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Comparaison de stratégies de discrimination de masses de véhicules automobiles

Stéphane Canu, Rodolphe Le Riche, Alain Rakotomamonjy, 2002, Rev. d'Intelligence Artif..

Translation invariant classification of non-stationary signals

Stéphane Canu, Alain Rakotomamonjy, Vincent Guigue, 2005, ESANN.

Filter bank learning for signal classification

Alain Rakotomamonjy, Maxime Sangnier, Jérôme Gauthier, 2015, Signal Process..

SVM et k-ppv pour la reconnaissance d'émotions

Stéphane Canu, Alain Rakotomamonjy, Vincent Guigue, 2003 .

Large Scale Sparse Optimization for Object Detection in High Resolution Images

Josiane Zerubia, Alain Rakotomamonjy, Aurélie Boisbunon, 2014 .

Direct Optimization of the Dictionary Learning Problem

Alain Rakotomamonjy, A. Rakotomamonjy, 2013, IEEE Transactions on Signal Processing.

SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer

Carole Lartizien, Alain Rakotomamonjy, Rémi Flamary, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Histogram of gradients of Time-Frequency Representations for Audio scene detection

Alain Rakotomamonjy, Gilles Gasso, A. Rakotomamonjy, 2015, ArXiv.

Large marginwavelet-based dictionary for signal classification

Florian Yger, Alain Rakotomamonjy, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

$\ell_{p}-\ell_{q}$ Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning

Stéphane Canu, Alain Rakotomamonjy, Rémi Flamary, 2011, IEEE Transactions on Neural Networks.

Learning with infinitely many features

Florian Yger, Alain Rakotomamonjy, Rémi Flamary, 2012, Machine Learning.

Composite kernel learning

Yves Grandvalet, Alain Rakotomamonjy, Marie Szafranski, 2008, ICML.

Optimal Transport for Domain Adaptation

Nicolas Courty, Alain Rakotomamonjy, Devis Tuia, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Active set strategy for high-dimensional non-convex sparse optimization problems

Alain Rakotomamonjy, Rémi Flamary, Aurelie Boisbunon, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Wavelet kernel learning

Florian Yger, Alain Rakotomamonjy, A. Rakotomamonjy, 2011, Pattern Recognit..

Détection de piétons par stéréovision et noyaux de graphes

Alain Rakotomamonjy, Abdelaziz Bensrhair, Frédéric Suard, 2005 .

Create the relevant spatial filterbank in the hyperspectral jungle

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Screening Rules for Lasso with Non-Convex Sparse Regularizers pdf

Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon, 2019, ICML.

Kernel on Bag of Paths For Measuring Similarity of Shapes

Alain Rakotomamonjy, Abdelaziz Bensrhair, Frédéric Suard, 2007, ESANN.

Online multimodal dictionary learning through Tucker decomposition

Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, 2019 .

Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm

Matthieu Cord, Nicolas Thome, David Picard, 2012, ESANN.

Non-Negative Tensor Dictionary Learning

Alain Rakotomamonjy, Maxime Berar, Abraham Traore, 2018, ESANN.

MLSP Competition, 2010: Description of third place method.

Alain Rakotomamonjy, Xilan Tian, Benjamin Labbe, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Unsupervised domain adaptation with imputation

Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach, 2019 .

Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances

Alain Rakotomamonjy, Vincent Guigue, G. Mallet, 2005, ICANN.

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds

Florian Yger, Alain Rakotomamonjy, Maxime Berar, 2012, ICML.

Greedy methods, randomization approaches and multi-arm bandit algorithms for efficient sparsity-constrained optimization

Alain Rakotomamonjy, Liva Ralaivola, Sokol Koço, 2015, IEEE transactions on neural networks and learning systems.

Fusion de critères pour l'évaluation de résultats de segmentation d'images

Hélène Laurent, Christophe Rosenberger, Sébastien Chabrier, 2005 .

More efficiency in multiple kernel learning

Yves Grandvalet, Stéphane Canu, Francis R. Bach, 2007, ICML '07.

Analysis of SVM regression bounds for variable ranking

Alain Rakotomamonjy, A. Rakotomamonjy, 2007, Neurocomputing.

Singleshot : a scalable Tucker tensor decomposition

Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, 2019, NeurIPS.

A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier

Alain Rakotomamonjy, Massimo Bertozzi, Alberto Broggi, 2007, 2007 IEEE Intelligent Transportation Systems Conference.

Classification d'EEG pour les interfaces cerveau-machine

Alain Rakotomamonjy, Vincent Guigue, Gregory Mallet, 2005 .

Frames, Reproducing Kernels, Regularization and Learning

Stéphane Canu, Alain Rakotomamonjy, S. Canu, 2005, J. Mach. Learn. Res..

Discovering relevant spatial filterbanks for VHR image classification

Alain Rakotomamonjy, Michele Volpi, Devis Tuia, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Histogram of gradients of Time-Frequency Representations for Audio scene detection

Alain Rakotomamonjy, Gilles Gasso, A. Rakotomamonjy, 2015 .

Operator-valued Kernels for Learning from Functional Response Data pdf

Stéphane Canu, Philippe Preux, Alain Rakotomamonjy, 2015, J. Mach. Learn. Res..

Wasserstein Learning of Determinantal Point Processes pdf

Alain Rakotomamonjy, Mike Gartrell, Ugo Tanielian, 2020, ArXiv.

Sparse Support Vector Infinite Push

Alain Rakotomamonjy, A. Rakotomamonjy, 2012, ICML.

Composite kernel learning

Yves Grandvalet, Alain Rakotomamonjy, Marie Szafranski, 2008, ICML '08.

Kernel Basis Pursuit

Stéphane Canu, Alain Rakotomamonjy, Vincent Guigue, 2005, ECML.

Editorial: A Successful Year and Looking Forward to 2017 and Beyond

Meng Wang, Haibo He, Shiliang Sun, 2017, IEEE Trans. Neural Networks Learn. Syst..

Oblique principal subspace tracking on manifold

Florian Yger, Alain Rakotomamonjy, Maxime Berar, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Introduction aux interfaces cerveau-machine

Alain Rakotomamonjy, François Cabestaing, 2007 .

Supervised Representation Learning for Audio Scene Classification

Alain Rakotomamonjy, A. Rakotomamonjy, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Object Categorization Using Kernels Combining Graphs and Histograms of Gradients

Alain Rakotomamonjy, Abdelaziz Bensrhair, Frédéric Suard, 2006, ICIAR.

Evaluation of the quality of ultrasound image compression by fusion of criteria with a support vector machine

Christophe Rosenberger, Cécile Delgorge, Gérard Poisson, 2005, 2005 13th European Signal Processing Conference.

Wasserstein Distance Measure Machines pdf

Nicolas Courty, Alain Rakotomamonjy, Rémi Flamary, 2018, ArXiv.

Importance sampling strategy for non-convex randomized block-coordinate descent

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Multiple Operator-valued Kernel Learning

Philippe Preux, Francis R. Bach, Alain Rakotomamonjy, 2012, NIPS.

DC Proximal Newton for Nonconvex Optimization Problems

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Photonic Differential Privacy with Direct Feedback Alignment pdf

Ruben Ohana, Alain Rakotomamonjy, Liva Ralaivola, 2021, ArXiv.

Differentially Private Sliced Wasserstein Distance pdf

Alain Rakotomamonjy, Liva Ralaivola, A. Rakotomamonjy, 2021, ICML.

Heterogeneous Wasserstein Discrepancy for Incomparable Distributions

Alain Rakotomamonjy, Maxime Berar, Gilles Gasso, 2021, 2106.02542.

Optimal transport for conditional domain matching and label shift

Nicolas Courty, Alain Rakotomamonjy, Maxime Berar, 2020, Machine Learning.