Hélène Paugam-Moisy
http://www.isc.cnrs.fr/pau/hpaugam.htm
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.
104612
2020
145
Comput. Geosci.
https://doi.org/10.1016/j.cageo.2020.104612
db/journals/gandc/gandc145.html#BiabianyBPP20
Emmanuel Biabiany
Vincent Pagé
Didier Bernard
Hélène Paugam-Moisy
Using an expert deviation carrying the knowledge of climate data in usual clustering algorithms.
2020
abs/2006.05603
CoRR
https://arxiv.org/abs/2006.05603
db/journals/corr/corr2006.html#abs-2006-05603
Stéphane Cholet
Hélène Paugam-Moisy
Sébastien Régis
Bidirectional Associative Memory for Multimodal Fusion : a Depression Evaluation Case Study.
1-6
2019
IJCNN
https://doi.org/10.1109/IJCNN.2019.8852089
conf/ijcnn/2019
db/conf/ijcnn/ijcnn2019.html#CholetPR19
Stéphane Cholet
Hélène Paugam-Moisy
Prototype-based Classifier for Automatic Diagnosis of Depressive Mood.
1-6
2018
ICBEA
https://doi.org/10.1109/ICBEA.2018.8471736
conf/icbea/2018
db/conf/icbea/icbea2018.html#CholetP18
Stéphane Cholet
Hélène Paugam-Moisy
Diagnostic automatique de l'état dépressif(Classification of depressive moods).
102-109
2018
CNIA+RJCIA
https://ceur-ws.org/Vol-2133/cnia-paper8.pdf
conf/rjcia/2018
db/conf/rjcia/rjcia2018.html#CholetP18
Sébastien Rebecchi
Hélène Paugam-Moisy
Michèle Sebag
Learning Sparse Features with an Auto-Associator.
139-158
2014
Growing Adaptive Machines
https://doi.org/10.1007/978-3-642-55337-0_4
series/sci/2014-557
db/series/sci/sci557.html#RebecchiPS14
Anthony Mouraud
Quentin Barthélemy
Aurélien Mayoue
Cédric Gouy-Pailler
Anthony Larue
Hélène Paugam-Moisy
From neuronal cost-based metrics towards sparse coded signals classification.
2012
ESANN
https://www.esann.org/sites/default/files/proceedings/legacy/es2012-152.pdf
conf/esann/2012
db/conf/esann/esann2012.html#MouraudBMGLP12
Hélène Paugam-Moisy
Sander M. Bohté
Computing with Spiking Neuron Networks.
335-376
2012
Handbook of Natural Computing
https://doi.org/10.1007/978-3-540-92910-9_10
reference/nc/2012
db/reference/nc/nc2012.html#Paugam-MoisyB12
Sylvain Chevallier
Nicolas Bredèche
Hélène Paugam-Moisy
Michèle Sebag
Emergence of temporal and spatial synchronous behaviors in a foraging swarm.
125-132
2011
ECAL
http://mitpress.mit.edu/sites/default/files/titles/alife/0262297140chap22.pdf
conf/ecal/2011
db/conf/ecal/ecal2011.html#ChevallierBPS11
Ludovic Arnold
Sébastien Rebecchi
Sylvain Chevallier
Hélène Paugam-Moisy
An Introduction to Deep Learning.
2011
ESANN
https://www.esann.org/sites/default/files/proceedings/legacy/es2011-4.pdf
conf/esann/2011
db/conf/esann/esann2011.html#ArnoldRCP11
Ludovic Arnold
Hélène Paugam-Moisy
Michèle Sebag
Unsupervised Layer-Wise Model Selection in Deep Neural Networks.
915-920
2010
ECAI
https://doi.org/10.3233/978-1-60750-606-5-915
conf/ecai/2010
db/conf/ecai/ecai2010.html#ArnoldPS10
Anthony Mouraud
Alain Guillaume
Hélène Paugam-Moisy
The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements.
272-281
2010
ICANN (1)
https://doi.org/10.1007/978-3-642-15819-3_36
conf/icann/2010-1
db/conf/icann/icann2010-1.html#MouraudGP10
Sylvain Chevallier
Hélène Paugam-Moisy
Michèle Sebag
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system.
379-387
2010
NIPS
https://proceedings.neurips.cc/paper/2010/hash/7c9d0b1f96aebd7b5eca8c3edaa19ebb-Abstract.html
http://papers.nips.cc/paper/3900-spikeants-a-spiking-neuron-network-modelling-the-emergence-of-organization-in-a-complex-system
conf/nips/2010
db/conf/nips/nips2010.html#ChevallierPS10
Régis Martinez
Hélène Paugam-Moisy
Algorithms for Structural and Dynamical Polychronous Groups Detection.
75-84
2009
ICANN (2)
https://doi.org/10.1007/978-3-642-04277-5_8
conf/icann/2009-2
db/conf/icann/icann2009-2.html#MartinezP09
Hélène Paugam-Moisy
Régis Martinez
Samy Bengio
Delay learning and polychronization for reservoir computing.
1143-1158
2008
71
Neurocomputing
7-9
https://doi.org/10.1016/j.neucom.2007.12.027
db/journals/ijon/ijon71.html#Paugam-MoisyMB08
David Meunier
Hélène Paugam-Moisy
Neural networks for computational neuroscience.
367-378
2008
ESANN
https://www.esann.org/sites/default/files/proceedings/legacy/es2008-5.pdf
conf/esann/2008
db/conf/esann/esann2008.html#MeunierP08
Hélène Paugam-Moisy
Régis Martinez
Samy Bengio
A supervised learning approach based on STDP and polychronization in spiking neuron networks.
427-432
2007
ESANN
https://www.esann.org/sites/default/files/proceedings/legacy/es2007-95.pdf
conf/esann/2007
db/conf/esann/esann2007.html#Paugam-MoisyMB07
David Meunier
Hélène Paugam-Moisy
Cluster detection algorithm in neural networks.
19-24
2006
conf/esann/2006
ESANN
https://www.esann.org/sites/default/files/proceedings/legacy/es2006-121.pdf
db/conf/esann/esann2006.html#MeunierP06
Sylvain Chevallier
Philippe Tarroux
Hélène Paugam-Moisy
Saliency extraction with a distributed spiking neural network.
209-214
2006
conf/esann/2006
ESANN
https://www.esann.org/sites/default/files/proceedings/legacy/es2006-94.pdf
db/conf/esann/esann2006.html#ChevallierTP06
Anthony Mouraud
Hélène Paugam-Moisy
Learning and discrimination through STDP in a top-down modulated associative memory.
611-616
2006
conf/esann/2006
ESANN
https://www.esann.org/sites/default/files/proceedings/legacy/es2006-119.pdf
db/conf/esann/esann2006.html#MouraudP06
Anthony Mouraud
Hélène Paugam-Moisy
Didier Puzenat
A Distributed and Multithreaded Neural Event Driven Simulation Framework.
212-217
2006
conf/pdcn/2006
Parallel and Distributed Computing and Networks
db/conf/pdcn/pdcn2006.html#MouraudPP06
Anthony Mouraud
Hélène Paugam-Moisy
Learning and discrimination through STDP in a top-down modulated associative memory
http://arxiv.org/abs/cs/0611104
2006
CoRR
abs/cs/0611104
db/journals/corr/corr0611.html#abs-cs-0611104
David Meunier
Hélène Paugam-Moisy
Simulation d'un amorçage intermodal sur un réseau de neurones impulsionnels.
375-388
2005
19
Rev. d'Intelligence Artif.
1-2
https://doi.org/10.3166/ria.19.375-388
db/journals/ria/ria19.html#MeunierP05
Sylvain Chevallier
Hélène Paugam-Moisy
François Lemaître
Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot.
393-398
2005
conf/pdcn/2005
Parallel and Distributed Computing and Networks
db/conf/pdcn/pdcn2005.html#ChevallierPL05
Anthony Mouraud
Didier Puzenat
Hélène Paugam-Moisy
DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework
http://arxiv.org/abs/cs/0512018
2005
CoRR
abs/cs/0512018
db/journals/corr/corr0512.html#abs-cs-0512018
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.
305-327
2004
56
Neurocomputing
https://doi.org/10.1016/j.neucom.2003.10.004
db/journals/ijon/ijon56.html#GuermeurPEZPB04
David Meunier
Hélène Paugam-Moisy
A "spiking" bidirectional associative memory for modeling intermodal priming.
25-30
2004
conf/nci/2004
Neural Networks and Computational Intelligence
db/conf/nci/nci2004.html#MeunierP04
Pablo A. Estévez
Hélène Paugam-Moisy
Didier Puzenat
Manuel Ugarte
A scalable parallel algorithm for training a hierarchical mixture of neural experts.
861-891
2002
28
Parallel Comput.
6
db/journals/pc/pc28.html#EstevezPPU02
https://doi.org/10.1016/S0167-8191(02)00078-9
Hélène Paugam-Moisy
Didier Puzenat
Emanuelle Reynaud
Jean-Philippe Magué
Neural networks for modelling memory : case studies.
71-82
2002
conf/esann/2002
ESANN
db/conf/esann/esann2002.html#Paugam-MoisyPRM02
https://www.esann.org/sites/default/files/proceedings/legacy/es2002-450.pdf
Olivier Teytaud
Hélène Paugam-Moisy
Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms.
265-270
2001
conf/icann/2001
ICANN
https://doi.org/10.1007/3-540-44668-0_38
db/conf/icann/icann2001.html#TeytaudP01
Hélène Paugam-Moisy
André Elisseeff
Yann Guermeur
Generalization Performance of Multiclass Discriminant Models.
177-182
2000
conf/ijcnn/2000-4
IJCNN (4)
https://doi.org/10.1109/IJCNN.2000.860769
https://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860769
db/conf/ijcnn/ijcnn2000-4.html#Paugam-MoisyEG00
Yann Guermeur
André Elisseeff
Hélène Paugam-Moisy
A New Multi-Class SVM Based on a Uniform Convergence Result.
183-188
2000
conf/ijcnn/2000-4
IJCNN (4)
https://doi.org/10.1109/IJCNN.2000.860770
https://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860770
db/conf/ijcnn/ijcnn2000-4.html#GuermeurEP00
André Elisseeff
Hélène Paugam-Moisy
JNN, a randomized algorithm for training multilayer networks in polynomial time.
3-24
1999
29
Neurocomputing
1-3
https://doi.org/10.1016/S0925-2312(99)00115-0
db/journals/ijon/ijon29.html#ElisseeffP99
Cédric Bertolini
Hélène Paugam-Moisy
Didier Puzenat
Priming an Artificial Associative Memory.
348-356
1999
conf/iwann/1999-1
IWANN (1)
db/conf/iwann/iwann1999-1.html#BertoliniPP99
https://doi.org/10.1007/BFb0098191
Claire Kenyon
Hélène Paugam-Moisy
Multilayer Neural Networks and Polyhedral Dichotomies.
115-128
1998
24
Ann. Math. Artif. Intell.
1-4
db/journals/amai/amai24.html#KenyonP98
https://doi.org/10.1023/A:1018997115206
V. Demian
Frederic Desprez
Hélène Paugam-Moisy
Makan Pourzandi
Parallel Implementation of RBF Neural Networks.
243-250
1996
conf/europar/1996-2
Euro-Par, Vol. II
db/conf/europar/europar96-2.html#DemianDPP96
https://doi.org/10.1007/BFb0024708
Graham R. Brightwell
Claire Kenyon
Hélène Paugam-Moisy
Multilayer Neural Networks: One or Two Hidden Layers?
148-154
http://papers.nips.cc/paper/1239-multilayer-neural-networks-one-or-two-hidden-layers
http://nips.djvuzone.org/djvu/nips09/0148.djvu
1996
conf/nips/1996N
NIPS
db/conf/nips/nipsN1996.html#BrightwellKP96
André Elisseeff
Hélène Paugam-Moisy
Size of Multilayer Networks for Exact Learning: Analytic Approach.
162-168
http://papers.nips.cc/paper/1303-size-of-multilayer-networks-for-exact-learning-analytic-approach
http://nips.djvuzone.org/djvu/nips09/0162.djvu
1996
conf/nips/1996N
NIPS
db/conf/nips/nipsN1996.html#ElisseeffP96
Bernard Girau
Hélène Paugam-Moisy
Load sharing in the training set partition algorithm for parallel neural learning.
586-591
1995
conf/ipps/1995
IPPS
https://doi.org/10.1109/IPPS.1995.395888
https://doi.ieeecomputersociety.org/10.1109/IPPS.1995.395888
db/conf/ipps/ipps1995.html#GirauP95
Michel Cosnard
Pascal Koiran
Hélène Paugam-Moisy
Bounds on the Number of Units for Computing Arbitrary Dichotomies by Multilayer Perceptrons.
57-63
1994
10
J. Complex.
1
https://doi.org/10.1006/jcom.1994.1002
db/journals/jc/jc10.html#CosnardKP94
Arnulfo P. Azcarraga
Hélène Paugam-Moisy
Didier Puzenat
A Incremental Neural Classifier on a MIMD Parallel Computer.
13-22
1994
conf/apdc/1994
Applications in Parallel and Distributed Computing
db/conf/apdc/apdc1994.html#AzcarragaPP94
D. Girard
Hélène Paugam-Moisy
Strategies of Weight Updating for Parallel Back-propagation.
335-336
1994
conf/apdc/1994
Applications in Parallel and Distributed Computing
db/conf/apdc/apdc1994.html#GirardP94
Hélène Paugam-Moisy
Optimal Speedup Conditions for a Parallel Back-Propagation Algorithm.
719-724
1992
conf/conpar/1992
CONPAR
db/conf/conpar/conpar1992.html#Paugam-Moisy92
https://doi.org/10.1007/3-540-55895-0_474
S. Amghar
Hélène Paugam-Moisy
J. P. Royet
Learning Methods for Odor Recognition Modeling.
361-367
1992
conf/ipmu/1992
IPMU
db/conf/ipmu/ipmu1992.html#AmgharPR92
https://doi.org/10.1007/3-540-56735-6_74
Michel Cosnard
Pascal Koiran
Hélène Paugam-Moisy
Complexity Issues in Neural Network Computations.
530-543
1992
conf/latin/1992
LATIN
db/conf/latin/latin92.html#CosnardKP92
https://doi.org/10.1007/BFb0023854
S. Amghar
Ludovic Arnold
Arnulfo P. Azcarraga
Pierre Baldi
Quentin Barthélemy
Samy Bengio
Didier Bernard
Cédric Bertolini
Emmanuel Biabiany
Sander M. Bohté
Nicolas Bredèche
Graham R. Brightwell
Sylvain Chevallier
Stéphane Cholet
Michel Cosnard
V. Demian
Frédéric DesprezFrederic Desprez
André Elisseeff
Pablo A. Estévez
D. Girard
Bernard Girau
Cédric Gouy-Pailler
Yann Guermeur
Alain Guillaume
Pascal Koiran
Anthony Larue
François Lemaître
Jean-Philippe Magué
Régis Martinez
Claire MathieuClaire Kenyon
Aurélien Mayoue
David Meunier
Anthony Mouraud
Vincent Pagé
Gianluca Pollastri
Makan Pourzandi
Didier Puzenat
Sébastien Rebecchi
Sébastien Régis
Emanuelle Reynaud
J. P. Royet
Michèle Sebag
Philippe Tarroux
Olivier Teytaud
Manuel Ugarte
Dominique Zelus