Hélène Paugam-Moisy

47 papers A 1B 12C 2Journal 11Unranked 19

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Design of an expert distance metric for climate clustering: The case of rainfall in the Lesser Antilles. Comput. Geosci. Emmanuel Biabiany, Didier Bernard, Vincent Pagé, Hélène Paugam-Moisy
2020	J	`jnl`	Using an expert deviation carrying the knowledge of climate data in usual clustering algorithms. CoRR Emmanuel Biabiany, Vincent Pagé, Didier Bernard, Hélène Paugam-Moisy
2019	B	`conf`	Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study. IJCNN Stéphane Cholet, Hélène Paugam-Moisy, Sébastien Régis
2018	—	`conf`	Diagnostic automatique de l'état dépressif(Classification of depressive moods). CNIA+RJCIA Stéphane Cholet, Hélène Paugam-Moisy
2018	—	`conf`	Prototype-based Classifier for Automatic Diagnosis of Depressive Mood. ICBEA Stéphane Cholet, Hélène Paugam-Moisy
2014	—	`ch.`	Learning Sparse Features with an Auto-Associator. Growing Adaptive Machines Sébastien Rebecchi, Hélène Paugam-Moisy, Michèle Sebag
2012	—	`ch.`	Computing with Spiking Neuron Networks. Handbook of Natural Computing Hélène Paugam-Moisy, Sander M. Bohté
2012	B	`conf`	From neuronal cost-based metrics towards sparse coded signals classification. ESANN Anthony Mouraud, Quentin Barthélemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy
2011	B	`conf`	An Introduction to Deep Learning. ESANN Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy
2011	—	`conf`	Emergence of temporal and spatial synchronous behaviors in a foraging swarm. ECAL Sylvain Chevallier, Nicolas Bredèche, Hélène Paugam-Moisy, Michèle Sebag
2010	—	`conf`	SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. NIPS Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag
2010	—	`conf`	The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements. ICANN (1) Anthony Mouraud, Alain Guillaume, Hélène Paugam-Moisy
2010	A	`conf`	Unsupervised Layer-Wise Model Selection in Deep Neural Networks. ECAI Ludovic Arnold, Hélène Paugam-Moisy, Michèle Sebag
2009	—	`conf`	Algorithms for Structural and Dynamical Polychronous Groups Detection. ICANN (2) Régis Martinez, Hélène Paugam-Moisy
2008	J	`jnl`	Delay learning and polychronization for reservoir computing. Neurocomputing Hélène Paugam-Moisy, Régis Martinez, Samy Bengio
2008	B	`conf`	Neural networks for computational neuroscience. ESANN David Meunier, Hélène Paugam-Moisy
2007	B	`conf`	A supervised learning approach based on STDP and polychronization in spiking neuron networks. ESANN Hélène Paugam-Moisy, Régis Martinez, Samy Bengio
2006	—	`conf`	A Distributed and Multithreaded Neural Event Driven Simulation Framework. Parallel and Distributed Computing and Networks Anthony Mouraud, Hélène Paugam-Moisy, Didier Puzenat
2006	B	`conf`	Cluster detection algorithm in neural networks. ESANN David Meunier, Hélène Paugam-Moisy
2006	J	`jnl`	Learning and discrimination through STDP in a top-down modulated associative memory CoRR Anthony Mouraud, Hélène Paugam-Moisy
2006	B	`conf`	Learning and discrimination through STDP in a top-down modulated associative memory. ESANN Anthony Mouraud, Hélène Paugam-Moisy
2006	B	`conf`	Saliency extraction with a distributed spiking neural network. ESANN Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy
2005	B	`conf`	A multiple BAM for hetero-association and multisensory integration modelling. IJCNN Emanuelle Reynaud, Hélène Paugam-Moisy
2005	J	`jnl`	DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework CoRR Anthony Mouraud, Didier Puzenat, Hélène Paugam-Moisy
2005	—	`conf`	Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot. Parallel and Distributed Computing and Networks Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître
2005	B	`conf`	Evolutionary supervision of a dynamical neural network allows learning with on-going weights. IJCNN David Meunier, Hélène Paugam-Moisy
2005	J	`jnl`	Simulation d'un amorçage intermodal sur un réseau de neurones impulsionnels. Rev. d'Intelligence Artif. David Meunier, Hélène Paugam-Moisy
2004	—	`conf`	A "spiking" bidirectional associative memory for modeling intermodal priming. Neural Networks and Computational Intelligence David Meunier, Hélène Paugam-Moisy
2004	J	`jnl`	Combining protein secondary structure prediction models with ensemble methods of optimal complexity. Neurocomputing Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi
2002	J	`jnl`	A scalable parallel algorithm for training a hierarchical mixture of neural experts. Parallel Comput. Pablo A. Estévez, Hélène Paugam-Moisy, Didier Puzenat, Manuel Ugarte
2002	B	`conf`	Neural networks for modelling memory : case studies. ESANN Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, Jean-Philippe Magué
2001	C	`conf`	Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms. ICANN Olivier Teytaud, Hélène Paugam-Moisy
2000	—	`conf`	A New Multi-Class SVM Based on a Uniform Convergence Result. IJCNN (4) Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy
2000	—	`conf`	Generalization Performance of Multiclass Discriminant Models. IJCNN (4) Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur
1999	J	`jnl`	JNN, a randomized algorithm for training multilayer networks in polynomial time. Neurocomputing André Elisseeff, Hélène Paugam-Moisy
1999	—	`conf`	Priming an Artificial Associative Memory. IWANN (1) Cédric Bertolini, Hélène Paugam-Moisy, Didier Puzenat
1998	J	`jnl`	Multilayer Neural Networks and Polyhedral Dichotomies. Ann. Math. Artif. Intell. Claire Kenyon, Hélène Paugam-Moisy
1996	—	`conf`	Multilayer Neural Networks: One or Two Hidden Layers? NIPS Graham R. Brightwell, Claire Kenyon, Hélène Paugam-Moisy
1996	—	`conf`	Parallel Implementation of RBF Neural Networks. Euro-Par, Vol. II V. Demian, Frederic Desprez, Hélène Paugam-Moisy, Makan Pourzandi
1996	—	`conf`	Size of Multilayer Networks for Exact Learning: Analytic Approach. NIPS André Elisseeff, Hélène Paugam-Moisy
1995	—	`conf`	Load sharing in the training set partition algorithm for parallel neural learning. IPPS Bernard Girau, Hélène Paugam-Moisy
1994	—	`conf`	A Incremental Neural Classifier on a MIMD Parallel Computer. Applications in Parallel and Distributed Computing Arnulfo P. Azcarraga, Hélène Paugam-Moisy, Didier Puzenat
1994	J	`jnl`	Bounds on the Number of Units for Computing Arbitrary Dichotomies by Multilayer Perceptrons. J. Complex. Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy
1994	—	`conf`	Strategies of Weight Updating for Parallel Back-propagation. Applications in Parallel and Distributed Computing D. Girard, Hélène Paugam-Moisy
1992	B	`conf`	Complexity Issues in Neural Network Computations. LATIN Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy
1992	C	`conf`	Learning Methods for Odor Recognition Modeling. IPMU S. Amghar, Hélène Paugam-Moisy, J. P. Royet
1992	—	`conf`	Optimal Speedup Conditions for a Parallel Back-Propagation Algorithm. CONPAR Hélène Paugam-Moisy