| Handbook of natural computing T Bäck, JN Kok, G Rozenberg Springer, Heidelberg, 2012 | 562 | 2012 |
| Computing with spiking neuron networks. H Paugam-Moisy, SM Bohte Handbook of natural computing 1, 1-47, 2012 | 419 | 2012 |
| Delay learning and polychronization for reservoir computing H Paugam-Moisy, R Martinez, S Bengio Neurocomputing 71 (7-9), 1143-1158, 2008 | 173 | 2008 |
| An introduction to deep learning FQ Lauzon 2012 11th international conference on information science, signal processing …, 2012 | 169 | 2012 |
| An introduction to deep learning L Arnold, S Rebecchi, S Chevallier, H Paugam-Moisy European symposium on artificial neural networks (ESANN), 2011 | 156 | 2011 |
| 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 | 96 | 2010 |
| 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 | 91 | 2000 |
| 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 | 55 | 2004 |
| Size of multilayer networks for exact learning: analytic approach A Elisseeff, H Paugam-Moisy Advances in Neural Information Processing Systems 9, 1996 | 52 | 1996 |
| Spiking neuron networks a survey H Paugam-Moisy IDIAP, 2006 | 46 | 2006 |
| Multilayer neural networks: one or two hidden layers? G Brightwell, C Kenyon, H Paugam-Moisy Advances in Neural Information Processing Systems 9, 1996 | 39 | 1996 |
| Parallel neural computing based on network duplicating H Paugam-Moisy Parallel algorithms: for digital image processing, computer vision and …, 1993 | 35 | 1993 |
| 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 | 34 | 2002 |
| A supervised learning approach based on STDP and polychronization in spiking neuron networks H Paugam-Moisy, R Martinez, S Bengio IDIAP, 2006 | 33 | 2006 |
| Algorithms for structural and dynamical polychronous groups detection R Martinez, H Paugam-Moisy Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009 | 31 | 2009 |
| Théorie de l’apprentissage de Vapnik et SVM, Support Vector Machines Y Guermeur, H Paugam-Moisy Apprentissage automatique, 109-138, 1999 | 26 | 1999 |
| Damned: A distributed and multithreaded neural event-driven simulation framework A Mouraud, D Puzenat, H Paugam-Moisy arXiv preprint cs/0512018, 2005 | 21 | 2005 |
| 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 | 20 | 1999 |
| Design of an expert distance metric for climate clustering: The case of rainfall in the Lesser Antilles E Biabiany, DC Bernard, V Page, H Paugam-Moisy Computers & Geosciences 145, 104612, 2020 | 18 | 2020 |
| Multiprocessor simulation of neural networks H Paugam-Moisy The Handbook of Brain Theory and Neural Networks, 605-608, 1998 | 17 | 1998 |
