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Hélène Paugam-Moisy: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Arnulfo P. Azcarraga, Hélène Paugam-Moisy, Didier Puzenat
    A Incremental Neural Classifier on a MIMD Parallel Computer. [Citation Graph (0, 0)][DBLP]
    Applications in Parallel and Distributed Computing, 1994, pp:13-22 [Conf]
  2. D. Girard, Hélène Paugam-Moisy
    Strategies of Weight Updating for Parallel Back-propagation. [Citation Graph (0, 0)][DBLP]
    Applications in Parallel and Distributed Computing, 1994, pp:335-336 [Conf]
  3. Hélène Paugam-Moisy
    Optimal Speedup Conditions for a Parallel Back-Propagation Algorithm. [Citation Graph (0, 0)][DBLP]
    CONPAR, 1992, pp:719-724 [Conf]
  4. Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy
    Saliency extraction with a distributed spiking neural network. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:209-214 [Conf]
  5. Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, Jean-Philippe Magué
    Neural networks for modelling memory : case studies. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:71-82 [Conf]
  6. David Meunier, Hélène Paugam-Moisy
    Cluster detection algorithm in neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:19-24 [Conf]
  7. Anthony Mouraud, Hélène Paugam-Moisy
    Learning and discrimination through STDP in a top-down modulated associative memory. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:611-616 [Conf]
  8. V. Demian, Frederic Desprez, Hélène Paugam-Moisy, Makan Pourzandi
    Parallel Implementation of RBF Neural Networks. [Citation Graph (0, 0)][DBLP]
    Euro-Par, Vol. II, 1996, pp:243-250 [Conf]
  9. Olivier Teytaud, Hélène Paugam-Moisy
    Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:265-270 [Conf]
  10. Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy
    A New Multi-Class SVM Based on a Uniform Convergence Result. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:183-188 [Conf]
  11. Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur
    Generalization Performance of Multiclass Discriminant Models. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:177-182 [Conf]
  12. S. Amghar, Hélène Paugam-Moisy, J. P. Royet
    Learning Methods for Odor Recognition Modeling. [Citation Graph (0, 0)][DBLP]
    IPMU, 1992, pp:361-367 [Conf]
  13. Bernard Girau, Hélène Paugam-Moisy
    Load sharing in the training set partition algorithm for parallel neural learning. [Citation Graph (0, 0)][DBLP]
    IPPS, 1995, pp:586-591 [Conf]
  14. Cédric Bertolini, Hélène Paugam-Moisy, Didier Puzenat
    Priming an Artificial Associative Memory. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 1999, pp:348-356 [Conf]
  15. Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy
    Complexity Issues in Neural Network Computations. [Citation Graph (0, 0)][DBLP]
    LATIN, 1992, pp:530-543 [Conf]
  16. David Meunier, Hélène Paugam-Moisy
    A "spiking" bidirectional associative memory for modeling intermodal priming. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2004, pp:25-30 [Conf]
  17. G. Brightwell, Claire Kenyon, Hélène Paugam-Moisy
    Multilayer Neural Networks: One or Two Hidden Layers? [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:148-154 [Conf]
  18. André Elisseeff, Hélène Paugam-Moisy
    Size of Multilayer Networks for Exact Learning: Analytic Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:162-168 [Conf]
  19. Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître
    Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot. [Citation Graph (0, 0)][DBLP]
    Parallel and Distributed Computing and Networks, 2005, pp:393-398 [Conf]
  20. Anthony Mouraud, Hélène Paugam-Moisy, Didier Puzenat
    A Distributed and Multithreaded Neural Event Driven Simulation Framework. [Citation Graph (0, 0)][DBLP]
    Parallel and Distributed Computing and Networks, 2006, pp:212-217 [Conf]
  21. Claire Kenyon, Hélène Paugam-Moisy
    Multilayer Neural Networks and Polyhedral Dichotomies. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 1998, v:24, n:1-4, pp:115-128 [Journal]
  22. André Elisseeff, Hélène Paugam-Moisy
    JNN, a randomized algorithm for training multilayer networks in polynomial time. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:29, n:1-3, pp:3-24 [Journal]
  23. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:56, n:, pp:305-327 [Journal]
  24. Michel Cosnard, Pascal Koiran, Hélène Paugam-Moisy
    Bounds on the Number of Units for Computing Arbitrary Dichotomies by Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP]
    J. Complexity, 1994, v:10, n:1, pp:57-63 [Journal]
  25. Pablo A. Estévez, Hélène Paugam-Moisy, Didier Puzenat, Manuel Ugarte
    A scalable parallel algorithm for training a hierarchical mixture of neural experts. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 2002, v:28, n:6, pp:861-891 [Journal]
  26. Anthony Mouraud, Hélène Paugam-Moisy
    Learning and discrimination through STDP in a top-down modulated associative memory [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  27. Unsupervised Layer-Wise Model Selection in Deep Neural Networks. [Citation Graph (, )][DBLP]


  28. A supervised learning approach based on STDP and polychronization in spiking neuron networks. [Citation Graph (, )][DBLP]


  29. Neural networks for computational neuroscience. [Citation Graph (, )][DBLP]


  30. Algorithms for Structural and Dynamical Polychronous Groups Detection. [Citation Graph (, )][DBLP]


  31. The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements. [Citation Graph (, )][DBLP]


  32. DAMNED: A Distributed and Multithreaded Neural Event-Driven simulation framework [Citation Graph (, )][DBLP]


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