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2000 – 2009
- 2007
[j19]Isabelle Rivals
, Léon Personnaz, Lieng Taing, Marie-Claude Potier:
Enrichment or depletion of a GO category within a class of genes: which test? Bioinform. 23(4): 401-407 (2007)- 2004
- [j18]Isabelle Rivals, Léon Personnaz:
Jacobian Conditioning Analysis for Model Validation. Neural Comput. 16(2): 401-418 (2004) - 2003
- [j17]Isabelle Rivals, Léon Personnaz:
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling. J. Mach. Learn. Res. 3: 1383-1398 (2003) - [j16]Isabelle Rivals, Léon Personnaz:
Neural-network construction and selection in nonlinear modeling. IEEE Trans. Neural Networks 14(4): 804-819 (2003) - [j15]Isabelle Rivals, Léon Personnaz:
No free lunch with the sandwich [sandwich estimator]. IEEE Trans. Neural Networks 14(6): 1553-1559 (2003) - 2000
- [j14]Isabelle Rivals, Léon Personnaz:
Construction of confidence intervals for neural networks based on least squares estimation. Neural Networks 13(4-5): 463-484 (2000) - [j13]Isabelle Rivals, Léon Personnaz:
Nonlinear internal model control using neural networks: application to processes with delay and design issues. IEEE Trans. Neural Networks Learn. Syst. 11(1): 80-90 (2000)
1990 – 1999
- 1999
- [j12]Isabelle Rivals, Léon Personnaz:
On Cross Validation for Model Selection. Neural Comput. 11(4): 863-870 (1999) - [c6]L. Constant, B. Dagues, Isabelle Rivals, Léon Personnaz:
Undersampling for the training of feedback neural networks on large sequences; application to the modeling of an induction machine. ICECS 1999: 1025-1028 - 1998
- [j11]Yacine Oussar, Isabelle Rivals, Léon Personnaz, Gérard Dreyfus:
Training wavelet networks for nonlinear dynamic input-output modeling. Neurocomputing 20(1-3): 173-188 (1998) - [j10]Isabelle Rivals, Léon Personnaz:
A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models. Neurocomputing 20(1-3): 279-294 (1998) - [j9]Léon Personnaz, Gérard Dreyfus:
Comment on "Recurrent neural networks: A constructive algorithm, and its properties". Neurocomputing 20(1-3): 321-324 (1998) - [j8]Léon Personnaz, Gérard Dreyfus:
Comment on "Discrete-time recurrent neural network architectures: A unifying review". Neurocomputing 20(1-3): 325-331 (1998) - 1994
- [j7]Olivier Nerrand, Pierre Roussel-Ragot, Dominique Urbani, Léon Personnaz, Gérard Dreyfus:
Training recurrent neural networks: why and how? An illustration in dynamical process modeling. IEEE Trans. Neural Networks 5(2): 178-184 (1994) - [c5]David Price, Stefan Knerr, Léon Personnaz, Gérard Dreyfus:
Pairwise Neural Network Classifiers with Probabilistic Outputs. NIPS 1994: 1109-1116 - 1993
- [j6]Olivier Nerrand, Pierre Roussel-Ragot, Léon Personnaz, Gérard Dreyfus, Sylvie Marcos:
Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms. Neural Comput. 5(2): 165-199 (1993) - [j5]Christiane Linster, Claudine Masson, Michel Kerszberg, Léon Personnaz, Gérard Dreyfus:
Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus. Neural Comput. 5(2): 228-241 (1993) - 1992
- [j4]Sylvie Marcos, Odile Macchi, Christophe Vignat, Gérard Dreyfus, Léon Personnaz, Pierre Roussel-Ragot:
A unified framework for gradient algorithms used for filter adaptation and neural network training. Int. J. Circuit Theory Appl. 20(2): 159-200 (1992) - [j3]Anne Johannet, Léon Personnaz, Gérard Dreyfus, Jean-Dominique Gascuel, Michel Weinfeld:
Specification and implementation of a digital Hopfield-type associative memory with on-chip training. IEEE Trans. Neural Networks 3(4): 529-539 (1992) - [j2]Stefan Knerr, Léon Personnaz, Gérard Dreyfus:
Handwritten digit recognition by neural networks with single-layer training. IEEE Trans. Neural Networks 3(6): 962-968 (1992) - [c4]Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg, Gérard Dreyfus, Léon Personnaz:
A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results. NIPS 1992: 1022-1029 - 1990
- [c3]Léon Personnaz, Gérard Dreyfus:
Neural Network Models and Applications: an Overview. Modelling the Innovation 1990: 1-8
1980 – 1989
- 1989
- [j1]Léon Personnaz, Gérard Dreyfus:
Neurocomputing in France. Neurocomputing 1(1): 35-36 (1989) - [c2]Stefan Knerr, Léon Personnaz, Gérard Dreyfus:
Single-layer learning revisited: a stepwise procedure for building and training a neural network. NATO Neurocomputing 1989: 41-50 - 1987
- [c1]Gérard Dreyfus, Isabelle Guyon, Jean-Pierre Nadal, Léon Personnaz:
High Order Neural Networks for Efficient Associative Memory Design. NIPS 1987: 233-241
Coauthor Index
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