Hélène Paugam-Moisy

Publication Activity (10 Years)

Years Active: 1992-2020
Publications (10 Years): 5

Top Topics

Automatic Diagnosis

Multimodal Fusion

Distance Metric

Top Venues

Comput. Geosci.

Publications

Emmanuel Biabiany, Didier Bernard, Vincent Pagé, Hélène Paugam-Moisy
Design of an expert distance metric for climate clustering: The case of rainfall in the Lesser Antilles. Comput. Geosci. 145 (2020)
Emmanuel Biabiany, Vincent Pagé, Didier Bernard, Hélène Paugam-Moisy
Using an expert deviation carrying the knowledge of climate data in usual clustering algorithms. CoRR (2020)
Stéphane Cholet, Hélène Paugam-Moisy, Sébastien Régis
Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study. IJCNN (2019)
Stéphane Cholet, Hélène Paugam-Moisy
Prototype-based Classifier for Automatic Diagnosis of Depressive Mood. ICBEA (2018)
Stéphane Cholet, Hélène Paugam-Moisy
Diagnostic automatique de l'état dépressif(Classification of depressive moods). CNIA+RJCIA (2018)
Anthony Mouraud, Quentin Barthelemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy
From neuronal cost-based metrics towards sparse coded signals classification. ESANN (2012)
Sylvain Chevallier, Nicolas Bredèche, Hélène Paugam-Moisy, Michèle Sebag
Emergence of temporal and spatial synchronous behaviors in a foraging swarm. ECAL (2011)
Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy
An Introduction to Deep Learning. ESANN (2011)
Ludovic Arnold, Hélène Paugam-Moisy, Michèle Sebag
Unsupervised Layer-Wise Model Selection in Deep Neural Networks. ECAI (2010)
Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. NIPS (2010)
Anthony Mouraud, Alain Guillaume, Hélène Paugam-Moisy
The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements. ICANN (1) (2010)
Régis Martinez, Hélène Paugam-Moisy
Algorithms for Structural and Dynamical Polychronous Groups Detection. ICANN (2) (2009)
Hélène Paugam-Moisy, Régis Martinez, Samy Bengio
Delay learning and polychronization for reservoir computing. Neurocomputing 71 (7-9) (2008)
David Meunier, Hélène Paugam-Moisy
Neural networks for computational neuroscience. ESANN (2008)
Hélène Paugam-Moisy, Régis Martinez, Samy Bengio
A supervised learning approach based on STDP and polychronization in spiking neuron networks. ESANN (2007)
David Meunier, Hélène Paugam-Moisy
Cluster detection algorithm in neural networks. ESANN (2006)
Anthony Mouraud, Hélène Paugam-Moisy
Learning and discrimination through STDP in a top-down modulated associative memory. ESANN (2006)
Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy
Saliency extraction with a distributed spiking neural network. ESANN (2006)
Anthony Mouraud, Hélène Paugam-Moisy, Didier Puzenat
A Distributed and Multithreaded Neural Event Driven Simulation Framework. Parallel and Distributed Computing and Networks (2006)
Anthony Mouraud, Hélène Paugam-Moisy
Learning and discrimination through STDP in a top-down modulated associative memory CoRR (2006)
Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître
Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot. Parallel and Distributed Computing and Networks (2005)
David Meunier, Hélène Paugam-Moisy
Simulation d'un amorçage intermodal sur un réseau de neurones impulsionnels. Rev. d'Intelligence Artif. 19 (1-2) (2005)
Anthony Mouraud, Didier Puzenat, Hélène Paugam-Moisy
DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework CoRR (2005)
David Meunier, Hélène Paugam-Moisy
A "spiking" bidirectional associative memory for modeling intermodal priming. Neural Networks and Computational Intelligence (2004)
Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi
Combining protein secondary structure prediction models with ensemble methods of optimal complexity. Neurocomputing 56 (2004)
Pablo A. Estévez, Hélène Paugam-Moisy, Didier Puzenat, Manuel Ugarte
A scalable parallel algorithm for training a hierarchical mixture of neural experts. Parallel Comput. 28 (6) (2002)
Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, Jean-Philippe Magué
Neural networks for modelling memory : case studies. ESANN (2002)
Olivier Teytaud, Hélène Paugam-Moisy
Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms. ICANN (2001)
Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur
Generalization Performance of Multiclass Discriminant Models. IJCNN (4) (2000)
Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy
A New Multi-Class SVM Based on a Uniform Convergence Result. IJCNN (4) (2000)
André Elisseeff, Hélène Paugam-Moisy
JNN, a randomized algorithm for training multilayer networks in polynomial time. Neurocomputing 29 (1-3) (1999)
Cédric Bertolini, Hélène Paugam-Moisy, Didier Puzenat
Priming an Artificial Associative Memory. IWANN (1) (1999)
Claire Kenyon, Hélène Paugam-Moisy
Multilayer Neural Networks and Polyhedral Dichotomies. Ann. Math. Artif. Intell. 24 (1-4) (1998)
André Elisseeff, Hélène Paugam-Moisy
Size of Multilayer Networks for Exact Learning: Analytic Approach. NIPS (1996)
Graham R. Brightwell, Claire Kenyon, Hélène Paugam-Moisy
Multilayer Neural Networks: One or Two Hidden Layers? NIPS (1996)
V. Demian, Frederic Desprez, Hélène Paugam-Moisy, Makan Pourzandi
Parallel Implementation of RBF Neural Networks. Euro-Par, Vol. II (1996)
Bernard Girau, Hélène Paugam-Moisy
Load sharing in the training set partition algorithm for parallel neural learning. IPPS (1995)
Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy
Bounds on the Number of Units for Computing Arbitrary Dichotomies by Multilayer Perceptrons. J. Complex. 10 (1) (1994)
Arnulfo P. Azcarraga, Hélène Paugam-Moisy, Didier Puzenat
A Incremental Neural Classifier on a MIMD Parallel Computer. Applications in Parallel and Distributed Computing (1994)
D. Girard, Hélène Paugam-Moisy
Strategies of Weight Updating for Parallel Back-propagation. Applications in Parallel and Distributed Computing (1994)
Hélène Paugam-Moisy
Optimal Speedup Conditions for a Parallel Back-Propagation Algorithm. CONPAR (1992)
S. Amghar, Hélène Paugam-Moisy, J. P. Royet
Learning Methods for Odor Recognition Modeling. IPMU (1992)
Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy
Complexity Issues in Neural Network Computations. LATIN (1992)