High Order Neural Networks for Efficient Associative Memory Design. - Gérard Dreyfus; Isabelle Guyon; Jean-Pierre Nadal; Léon Personnaz (NIPS, 1987)

Single-layer learning revisited: a stepwise procedure for building and training a neural network. - Stefan Knerr; Léon Personnaz; Gérard Dreyfus (NATO Neurocomputing, 1989)

Neurocomputing in France. - Léon Personnaz; Gérard Dreyfus (Neurocomputing, 1989)

Neural Network Models and Applications: an Overview. - Léon Personnaz; Gérard Dreyfus (Modelling the Innovation, 1990)

A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results. - Christiane Linster; David Marsan; Claudine Masson; Michel Kerszberg; Gérard Dreyfus; Léon Personnaz (NIPS, 1992)

A unified framework for gradient algorithms used for filter adaptation and neural network training. - Sylvie Marcos; Odile Macchi; Christophe Vignat; Gérard Dreyfus; Léon Personnaz; Pierre Roussel-Ragot (Int. J. Circuit Theory Appl., 1992)

Specification and implementation of a digital Hopfield-type associative memory with on-chip training. - Anne Johannet; Léon Personnaz; Gérard Dreyfus; Jean-Dominique Gascuel; Michel Weinfeld (IEEE Trans. Neural Networks, 1992)

Handwritten digit recognition by neural networks with single-layer training. - Stefan Knerr; Léon Personnaz; Gérard Dreyfus (IEEE Trans. Neural Networks, 1992)

Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus. - Christiane Linster; Claudine Masson; Michel Kerszberg; Léon Personnaz; Gérard Dreyfus (Neural Comput., 1993)

Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms. - Olivier Nerrand; Pierre Roussel-Ragot; Léon Personnaz; Gérard Dreyfus; Sylvie Marcos (Neural Comput., 1993)

Pairwise Neural Network Classifiers with Probabilistic Outputs. - David Price; Stefan Knerr; Léon Personnaz; Gérard Dreyfus (NIPS, 1994)

Training recurrent neural networks: why and how? An illustration in dynamical process modeling. - Olivier Nerrand; Pierre Roussel-Ragot; Dominique Urbani; Léon Personnaz; Gérard Dreyfus (IEEE Trans. Neural Networks, 1994)

Training wavelet networks for nonlinear dynamic input-output modeling. - Yacine Oussar; Isabelle Rivals; Léon Personnaz; Gérard Dreyfus (Neurocomputing, 1998)

Comment on "Recurrent neural networks: A constructive algorithm, and its properties". - Léon Personnaz; Gérard Dreyfus (Neurocomputing, 1998)

Comment on "Discrete-time recurrent neural network architectures: A unifying review". - Léon Personnaz; Gérard Dreyfus (Neurocomputing, 1998)

A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models. - Isabelle Rivals; Léon Personnaz (Neurocomputing, 1998)

Undersampling for the training of feedback neural networks on large sequences; application to the modeling of an induction machine. - L. Constant; B. Dagues; Isabelle Rivals; Léon Personnaz (ICECS, 1999)

On Cross Validation for Model Selection. - Isabelle Rivals; Léon Personnaz (Neural Comput., 1999)

Construction of confidence intervals for neural networks based on least squares estimation. - Isabelle Rivals; Léon Personnaz (Neural Networks, 2000)

Nonlinear internal model control using neural networks: application to processes with delay and design issues. - Isabelle Rivals; Léon Personnaz (IEEE Trans. Neural Networks Learn. Syst., 2000)

MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling. - Isabelle Rivals; Léon Personnaz (J. Mach. Learn. Res., 2003)

Neural-network construction and selection in nonlinear modeling. - Isabelle Rivals; Léon Personnaz (IEEE Trans. Neural Networks, 2003)

No free lunch with the sandwich [sandwich estimator]. - Isabelle Rivals; Léon Personnaz (IEEE Trans. Neural Networks, 2003)

Jacobian Conditioning Analysis for Model Validation. - Isabelle Rivals; Léon Personnaz (Neural Comput., 2004)

Enrichment or depletion of a GO category within a class of genes: which test? - Isabelle Rivals; Léon Personnaz; Lieng Taing; Marie-Claude Potier (Bioinform., 2007)