Alain Rakotomamonjy

According to our database, Alain Rakotomamonjy authored at least 111 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Approximating dynamic time warping with a convolutional neural network on EEG data.

Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte

Pattern Recognit. Lett., 2023

Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling.

Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen

CoRR, 2023

Federated Wasserstein Distance.

Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola

CoRR, 2023

Approximating DTW with a convolutional neural network on EEG data.

Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte

CoRR, 2023

Personalised Federated Learning On Heterogeneous Feature Spaces.

Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz, Liva Ralaivola

CoRR, 2023

Adversarial Sample Detection Through Neural Network Transport Dynamics.

Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Unifying GANs and Score-Based Diffusion as Generative Particle Models.

Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW.

Hugo Lerogeron, Romain Picot-Clémente, Laurent Heutte, Alain Rakotomamonjy

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances.

Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola

Proceedings of the International Conference on Machine Learning, 2023

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals.

Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty

Proceedings of the International Conference on Machine Learning, 2023

Continuous PDE Dynamics Forecasting with Implicit Neural Representations.

Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Optimal transport for conditional domain matching and label shift.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty

Mach. Learn., 2022

Theoretical guarantees for bridging metric measure embedding and optimal transport.

Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy

Neurocomputing, 2022

Multi-source domain adaptation via weighted joint distributions optimal transport.

Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Diverse Weight Averaging for Out-of-Distribution Generalization.

Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.

Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizing to New Physical Systems via Context-Informed Dynamics Model.

Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari

Proceedings of the International Conference on Machine Learning, 2022

Mapping conditional distributions for domain adaptation under generalized target shift.

Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari

Proceedings of the Tenth International Conference on Learning Representations, 2022

Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach.

Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers.

Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

POT: Python Optimal Transport.

Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer

J. Mach. Learn. Res., 2021

Unsupervised domain adaptation with non-stochastic missing data.

Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach

Data Min. Knowl. Discov., 2021

Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences.

Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso

CoRR, 2021

Distributional Sliced Embedding Discrepancy for Incomparable Distributions.

Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy

CoRR, 2021

Photonic Differential Privacy with Direct Feedback Alignment.

Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentially Private Sliced Wasserstein Distance.

Alain Rakotomamonjy, Liva Ralaivola

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Wasserstein Learning of Determinantal Point Processes.

Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes

CoRR, 2020

Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon

CoRR, 2020

Match and Reweight Strategy for Generalized Target Shift.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty

CoRR, 2020

Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport.

Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy

CoRR, 2020

Partial Trace Regression and Low-Rank Kraus Decomposition.

Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Online multimodal dictionary learning.

Abraham Traoré, Maxime Berar, Alain Rakotomamonjy

Neurocomputing, 2019

Singleshot : a scalable Tucker tensor decomposition.

Abraham Traoré, Maxime Berar, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Screening Sinkhorn Algorithm for Regularized Optimal Transport.

Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Screening rules for Lasso with non-convex Sparse Regularizers.

Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Wasserstein discriminant analysis.

Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy

Mach. Learn., 2018

Wasserstein Distance Measure Machines.

Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty

CoRR, 2018

Concave Losses for Robust Dictionary Learning.

Rafael Will M. de Araujo, Roberto Hirata, Alain Rakotomamonjy

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Non-Negative Tensor Dictionary Learning.

Abraham Traoré, Maxime Berar, Alain Rakotomamonjy

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained Optimization.

Alain Rakotomamonjy, Sokol Koço, Liva Ralaivola

IEEE Trans. Neural Networks Learn. Syst., 2017

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

Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., 2017

Supervised Representation Learning for Audio Scene Classification.

Alain Rakotomamonjy

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Optimal Transport for Domain Adaptation.

Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Joint distribution optimal transportation for domain adaptation.

Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Optimal transport Applied to Transfer Learning for P300 Detection.

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

Proceedings of the From Vision to Reality, 2017

2016

DC Proximal Newton for Nonconvex Optimization Problems.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso

IEEE Trans. Neural Networks Learn. Syst., 2016

Operator-valued Kernels for Learning from Functional Response Data.

Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren

J. Mach. Learn. Res., 2016

Early and Reliable Event Detection Using Proximity Space Representation.

Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification.

Alain Rakotomamonjy, Gilles Gasso

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Filter bank learning for signal classification.

Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy

Signal Process., 2015

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

Alain Rakotomamonjy, Sokol Koço, Liva Ralaivola

CoRR, 2015

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

Alain Rakotomamonjy, Gilles Gasso

CoRR, 2015

DC Proximal Newton for Non-Convex Optimization Problems.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso

CoRR, 2015

Generalized conditional gradient: analysis of convergence and applications.

Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty

CoRR, 2015

Early frame-based detection of acoustic scenes.

Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Multitemporal classification without new labels: A solution with optimal transport.

Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty

Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

More efficient sparsity-inducing algorithms using inexact gradient.

Alain Rakotomamonjy, Sokol Koço, Liva Ralaivola

Proceedings of the 23rd European Signal Processing Conference, 2015

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

Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

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

Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary

IEEE Trans. Geosci. Remote. Sens., 2014

ℓ_p-norm multiple kernel learning with low-rank kernels.

Alain Rakotomamonjy, Sukalpa Chanda

Neurocomputing, 2014

Mixed-Norm Regularization for Brain Decoding.

Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy

Comput. Math. Methods Medicine, 2014

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

Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville

Artif. Intell. Medicine, 2014

Kernel learning as minimization of the single validation estimate.

Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

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

Emilie Niaf, Rémi Flamary, Alain Rakotomamonjy, Olivier Rouvière, Carole Lartizien

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

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

Aurelie Boisbunon, Rémi Flamary, Alain Rakotomamonjy

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Direct Optimization of the Dictionary Learning Problem.

Alain Rakotomamonjy

IEEE Trans. Signal Process., 2013

Learning with infinitely many features.

Alain Rakotomamonjy, Rémi Flamary, Florian Yger

Mach. Learn., 2013

Applying alternating direction method of multipliers for constrained dictionary learning.

Alain Rakotomamonjy

Neurocomputing, 2013

Functional Regularized Least Squares Classi cation with Operator-valued Kernels

Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy

CoRR, 2013

Create the relevant spatial filterbank in the hyperspectral jungle.

Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Filter bank Kernel Learning for nonstationary signal classification.

Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Large Margin Filtering.

Rémi Flamary, Devis Tuia, Benjamin Labbé, Gustavo Camps-Valls, Alain Rakotomamonjy

IEEE Trans. Signal Process., 2012

Multiple Operator-valued Kernel Learning.

Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Discovering relevant spatial filterbanks for VHR image classification.

Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rémi Flamary, Alain Rakotomamonjy

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds.

Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the 29th International Conference on Machine Learning, 2012

Sparse Support Vector Infinite Push.

Alain Rakotomamonjy

Proceedings of the 29th International Conference on Machine Learning, 2012

Oblique principal subspace tracking on manifold.

Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

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

David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

ell_p-ell_q Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu

IEEE Trans. Neural Networks, 2011

Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms.

Alain Rakotomamonjy

Signal Process., 2011

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

Florian Yger, Alain Rakotomamonjy

Rev. d'Intelligence Artif., 2011

Wavelet kernel learning.

Florian Yger, Alain Rakotomamonjy

Pattern Recognit., 2011

Decoding finger movements from ECoG signals using switching linear models

Rémi Flamary, Alain Rakotomamonjy

CoRR, 2011

Functional Regularized Least Squares Classication with Operator-valued Kernels.

Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy

Proceedings of the 28th International Conference on Machine Learning, 2011

A supervised strategy for deep kernel machine.

Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Selecting from an infinite set of features in SVM.

Rémi Flamary, Florian Yger, Alain Rakotomamonjy

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Composite kernel learning.

Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy

Mach. Learn., 2010

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

Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy

CoRR, 2010

Large marginwavelet-based dictionary for signal classification.

Florian Yger, Alain Rakotomamonjy

Proceedings of the IEEE International Conference on Acoustics, 2010

Large margin filtering for Signal Sequence Labeling.

Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Recovering sparse signals with a certain family of nonconvex penalties and DC programming.

Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu

IEEE Trans. Signal Process., 2009

2008

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

Alain Rakotomamonjy, Vincent Guigue

IEEE Trans. Biomed. Eng., 2008

Support Vector Machines with a Reject Option.

Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Analysis of SVM regression bounds for variable ranking.

Alain Rakotomamonjy

Neurocomputing, 2007

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

Massimo Bertozzi, Alberto Broggi, Michael S. Del Rose, Mirko Felisa, Alain Rakotomamonjy, Frédéric Suard

Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

More efficiency in multiple kernel learning.

Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet

Proceedings of the Machine Learning, 2007

Kernel on Bag of Paths For Measuring Similarity of Shapes.

Frédéric Suard, Alain Rakotomamonjy, Abdelaziz Bensrhair

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

One-class SVM regularization path and comparison with alpha seeding.

Alain Rakotomamonjy, Manuel Davy

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006

Perception d'états affectifs et apprentissage.

Gaëlle Loosli, Sans-Goog Lee, Alain Rakotomamonjy

Rev. d'Intelligence Artif., 2006

Kernel Basis Pursuit.

Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu

Rev. d'Intelligence Artif., 2006

Translation-invariant classification of non-stationary signals.

Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu

Neurocomputing, 2006

Object Categorization Using Kernels Combining Graphs and Histograms of Gradients.

Frédéric Suard, Alain Rakotomamonjy, Abdelaziz Bensrhair

Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

2005

Frames, Reproducing Kernels, Regularization and Learning.

Alain Rakotomamonjy, Stéphane Canu

J. Mach. Learn. Res., 2005

Segmentation Evaluation Using a Support Vector Machine.

Sébastien Chabrier, Christophe Rosenberger, Hélène Laurent, Alain Rakotomamonjy

Proceedings of the Pattern Recognition and Data Mining, 2005

Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances.

Alain Rakotomamonjy, Vincent Guigue, Grégory Mallet, Victor Alvarado

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

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

Cécile Delgorge, Christophe Rosenberger, Alain Rakotomamonjy, Gérard Poisson, Pierre Vieyres

Proceedings of the 13th European Signal Processing Conference, 2005

2004

Optimizing Area Under Roc Curve with SVMs.

Alain Rakotomamonjy

Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004

Generic target recognition.

Christophe Rosenberger, Alain Rakotomamonjy, Bruno Emile

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Variable Selection Using SVM-based Criteria.

Alain Rakotomamonjy

J. Mach. Learn. Res., 2003

2002

Comparaison de stratégies de discrimination de masses de véhicules automobiles.

Alain Rakotomamonjy, Rodolphe Le Riche, David Gualandris, Stéphane Canu

Rev. d'Intelligence Artif., 2002

Frame Kernels for Learning.

Alain Rakotomamonjy, Stéphane Canu

Proceedings of the Artificial Neural Networks, 2002