Hélène Paugam-Moisy

According to our database, Hélène Paugam-Moisy authored at least 44 papers between 1992 and 2020.

Collaborative distances:

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

2020

Design of an expert distance metric for climate clustering: The case of rainfall in the Lesser Antilles.

Emmanuel Biabiany, Didier Bernard, Vincent Pagé, Hélène Paugam-Moisy

Comput. Geosci., 2020

Using an expert deviation carrying the knowledge of climate data in usual clustering algorithms.

Emmanuel Biabiany, Vincent Pagé, Didier Bernard, Hélène Paugam-Moisy

CoRR, 2020

2019

Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study.

Stéphane Cholet, Hélène Paugam-Moisy, Sébastien Régis

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Diagnostic automatique de l'état dépressif(Classification of depressive moods).

Stéphane Cholet, Hélène Paugam-Moisy

Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

Prototype-based Classifier for Automatic Diagnosis of Depressive Mood.

Stéphane Cholet, Hélène Paugam-Moisy

Proceedings of the 2018 International Conference on Biomedical Engineering and Applications, 2018

2014

Learning Sparse Features with an Auto-Associator.

Sébastien Rebecchi, Hélène Paugam-Moisy, Michèle Sebag

Proceedings of the Growing Adaptive Machines, 2014

2012

Computing with Spiking Neuron Networks.

Hélène Paugam-Moisy, Sander M. Bohté

Proceedings of the Handbook of Natural Computing, 2012

From neuronal cost-based metrics towards sparse coded signals classification.

Anthony Mouraud, Quentin Barthélemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy

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

2011

An Introduction to Deep Learning.

Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy

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

Emergence of temporal and spatial synchronous behaviors in a foraging swarm.

Sylvain Chevallier, Nicolas Bredèche, Hélène Paugam-Moisy, Michèle Sebag

Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

2010

SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system.

Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements.

Anthony Mouraud, Alain Guillaume, Hélène Paugam-Moisy

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Unsupervised Layer-Wise Model Selection in Deep Neural Networks.

Ludovic Arnold, Hélène Paugam-Moisy, Michèle Sebag

Proceedings of the ECAI 2010, 2010

2009

Algorithms for Structural and Dynamical Polychronous Groups Detection.

Régis Martinez, Hélène Paugam-Moisy

Proceedings of the Artificial Neural Networks, 2009

2008

Delay learning and polychronization for reservoir computing.

Hélène Paugam-Moisy, Régis Martinez, Samy Bengio

Neurocomputing, 2008

Neural networks for computational neuroscience.

David Meunier, Hélène Paugam-Moisy

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

A supervised learning approach based on STDP and polychronization in spiking neuron networks.

Hélène Paugam-Moisy, Régis Martinez, Samy Bengio

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

2006

A Distributed and Multithreaded Neural Event Driven Simulation Framework.

Anthony Mouraud, Hélène Paugam-Moisy, Didier Puzenat

Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2006

Learning and discrimination through STDP in a top-down modulated associative memory.

Anthony Mouraud, Hélène Paugam-Moisy

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Cluster detection algorithm in neural networks.

David Meunier, Hélène Paugam-Moisy

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Saliency extraction with a distributed spiking neural network.

Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

Simulation d'un amorçage intermodal sur un réseau de neurones impulsionnels.

David Meunier, Hélène Paugam-Moisy

Rev. d'Intelligence Artif., 2005

DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework

Anthony Mouraud, Didier Puzenat, Hélène Paugam-Moisy

CoRR, 2005

Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot.

Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître

Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2005

2004

Combining protein secondary structure prediction models with ensemble methods of optimal complexity.

Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi

Neurocomputing, 2004

A "spiking" bidirectional associative memory for modeling intermodal priming.

David Meunier, Hélène Paugam-Moisy

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

2002

A scalable parallel algorithm for training a hierarchical mixture of neural experts.

Pablo A. Estévez, Hélène Paugam-Moisy, Didier Puzenat, Manuel Ugarte

Parallel Comput., 2002

Neural networks for modelling memory : case studies.

Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, Jean-Philippe Magué

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001

Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms.

Olivier Teytaud, Hélène Paugam-Moisy

Proceedings of the Artificial Neural Networks, 2001

2000

Generalization Performance of Multiclass Discriminant Models.

Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A New Multi-Class SVM Based on a Uniform Convergence Result.

Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

JNN, a randomized algorithm for training multilayer networks in polynomial time.

André Elisseeff, Hélène Paugam-Moisy

Neurocomputing, 1999

Priming an Artificial Associative Memory.

Cédric Bertolini, Hélène Paugam-Moisy, Didier Puzenat

Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998

Multilayer Neural Networks and Polyhedral Dichotomies.

Claire Kenyon, Hélène Paugam-Moisy

Ann. Math. Artif. Intell., 1998

1996

Size of Multilayer Networks for Exact Learning: Analytic Approach.

André Elisseeff, Hélène Paugam-Moisy

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Multilayer Neural Networks: One or Two Hidden Layers?

Graham R. Brightwell, Claire Kenyon, Hélène Paugam-Moisy

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Parallel Implementation of RBF Neural Networks.

V. Demian, Frederic Desprez, Hélène Paugam-Moisy, Makan Pourzandi

Proceedings of the Euro-Par '96 Parallel Processing, 1996

1995

Load sharing in the training set partition algorithm for parallel neural learning.

Bernard Girau, Hélène Paugam-Moisy

Proceedings of IPPS '95, 1995

1994

Bounds on the Number of Units for Computing Arbitrary Dichotomies by Multilayer Perceptrons.

Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy

J. Complex., 1994

Strategies of Weight Updating for Parallel Back-propagation.

D. Girard, Hélène Paugam-Moisy

Proceedings of the Applications in Parallel and Distributed Computing, 1994

A Incremental Neural Classifier on a MIMD Parallel Computer.

Arnulfo P. Azcarraga, Hélène Paugam-Moisy, Didier Puzenat

Proceedings of the Applications in Parallel and Distributed Computing, 1994

1992

Complexity Issues in Neural Network Computations.

Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy

Proceedings of the LATIN '92, 1992

Learning Methods for Odor Recognition Modeling.

S. Amghar, Hélène Paugam-Moisy, J. P. Royet

Proceedings of the IPMU '92, 1992

Optimal Speedup Conditions for a Parallel Back-Propagation Algorithm.

Hélène Paugam-Moisy

Proceedings of the Parallel Processing: CONPAR 92, 1992