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Paugam-Moisy
Paugam-Moisy
Professeur d'Informatique
Verified email at lri.fr
Title
Cited by
Cited by
Year
Handbook of natural computing
T Bäck, JN Kok, G Rozenberg
Springer, Heidelberg, 2012
5192012
Computing with spiking neuron networks.
H Paugam-Moisy, SM Bohte
Handbook of natural computing 1, 1-47, 2012
3892012
Delay learning and polychronization for reservoir computing
H Paugam-Moisy, R Martinez, S Bengio
Neurocomputing 71 (7-9), 1143-1158, 2008
1662008
An introduction to deep learning
FQ Lauzon
2012 11th International Conference on Information Science, Signal Processing …, 2012
1522012
An introduction to deep learning
L Arnold, S Rebecchi, S Chevallier, H Paugam-Moisy
European Symposium on Artificial Neural Networks (ESANN), 2011
1442011
Overview of facts and issues about neural coding by spikes
B Cessac, H Paugam-Moisy, T Viéville
Journal of Physiology-Paris 104 (1-2), 5-18, 2010
952010
A new multi-class SVM based on a uniform convergence result
Y Guermeur, A Elisseeff, H Paugam-Moisy
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
922000
Combining protein secondary structure prediction models with ensemble methods of optimal complexity
Y Guermeur, G Pollastri, A Elisseeff, D Zelus, H Paugam-Moisy, P Baldi
Neurocomputing 56, 305-327, 2004
562004
Size of multilayer networks for exact learning: analytic approach
A Elisseeff, H Paugam-Moisy
Advances in Neural Information Processing Systems 9, 1996
521996
Spiking neuron networks a survey
H Paugam-Moisy
IDIAP, 2006
432006
Multilayer neural networks: one or two hidden layers?
G Brightwell, C Kenyon, H Paugam-Moisy
Advances in Neural Information Processing Systems 9, 1996
371996
Parallel neural computing based on network duplicating
H Paugam-Moisy
Parallel algorithms: for digital image processing, computer vision and …, 1993
351993
A supervised learning approach based on STDP and polychronization in spiking neuron networks
H Paugam-Moisy, R Martinez, S Bengio
IDIAP, 2006
342006
A scalable parallel algorithm for training a hierarchical mixture of neural experts
PA Estevez, H Paugam-Moisy, D Puzenat, M Ugarte
Parallel Computing 28 (6), 861-891, 2002
332002
Algorithms for structural and dynamical polychronous groups detection
R Martinez, H Paugam-Moisy
Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009
312009
Théorie de l’apprentissage de Vapnik et SVM, Support Vector Machines
Y Guermeur, H Paugam-Moisy
Apprentissage automatique, 109-138, 1999
311999
Damned: A distributed and multithreaded neural event-driven simulation framework
A Mouraud, D Puzenat, H Paugam-Moisy
arXiv preprint cs/0512018, 2005
212005
Estimating the sample complexity of a multi-class discriminant model
Y Guermeur, A Elisseeff, H Paugam-Moisy
1999 Ninth International Conference on Artificial Neural Networks ICANN 99 …, 1999
191999
Design of an expert distance metric for climate clustering: The case of rainfall in the Lesser Antilles
E Biabiany, DC Bernard, V Pagé, H Paugam-Moisy
Computers & Geosciences 145, 104612, 2020
172020
Multiprocessor simulation of neural networks
H Paugam-Moisy
The Handbook of Brain Theory and Neural Networks, 605-608, 1998
171998
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