L. Personnaz

发表

Information storage and retrieval in spin-glass like neural networks

I. Guyon, L. Personnaz, G. Dreyfus, 1985 .

Comparing different neural network architectures for classifying handwritten digits

Y. Le Cun, I. Guyon, I. Poujaud, 1989, International 1989 Joint Conference on Neural Networks.

Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms

Pierre Roussel-Ragot, Sylvie Marcos, Léon Personnaz, 1993, Neural Computation.

Training recurrent neural networks: why and how? An illustration in dynamical process modeling

Pierre Roussel-Ragot, Léon Personnaz, Gérard Dreyfus, 1994, IEEE Trans. Neural Networks.

Single-layer learning revisited: a stepwise procedure for building and training a neural network

Gérard Dreyfus, Léon Personnaz, S. Knerr, 1989, NATO Neurocomputing.

Handwritten digit recognition by neural networks with single-layer training

Gérard Dreyfus, Léon Personnaz, Stefan Knerr, 1992, IEEE Trans. Neural Networks.

A biologically constrained learning mechanism in networks of formal neurons

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1986 .

Neural Networks for Associative Memory Design

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Adaptive training of feedback neural networks for non-linear filtering

L. Personnaz, O. Nerrand, C. Vignat, 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.

Neural Network Design for Efficient Information Retrieval

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1986 .

Pairwise Neural Network Classifiers with Probabilistic Outputs

Gérard Dreyfus, David Price, Léon Personnaz, 1994, NIPS.

Detecting fluorescent protein expression and co-localisation on single secretory vesicles with linear spectral unmixing

L. Personnaz, N. Ropert, F. Kirchhoff, 2006, European Biophysics Journal.

Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus

Gérard Dreyfus, Léon Personnaz, Christiane Linster, 1993, Neural Computation.

Formal Model of the Insect Olfactory Macroglomerulus

L. Personnaz, G. Dreyfus, M. Kerszberg, 1993 .

Enhanced yellow fluorescent protein Æ FRET : Fluorescence resonance energy transfer Æ EDTA : Ethylenediaminetetraacetic acid Æ DMEM : Dulbecco ’ s modified Eagle ’ s medium Æ EF : Evanescent field

L. Personnaz, N. Ropert, F. Kirchhoff, 2006 .

Designing a neural network satisfying a given set of constraints

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

MODELING OF THE PEEL AND TACK VALUES OF PSAS USING PROBE TEST MEASUREMENTS

L. Personnaz, C. Creton, I. Rivals, 2005 .

Classification of variations of HSA21 gene expression in down syndrome lymphoblastoid cell lines : impact on disease phenotype

L. Personnaz, J. Rossier, L. Dauphinot, 2007 .

A simple selectionist learning rule for neural networks

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Neurocomputing in France

Gérard Dreyfus, Léon Personnaz, L. Personnaz, 1989, Neurocomputing.

Neural Network Models and Applications: an Overview

Gérard Dreyfus, Léon Personnaz, L. Personnaz, 1990, Modelling the Innovation.

Engineering applications of spin glass concepts

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

and Implementation of Digital Hopeld-Type Associative Memory with On-Chip Training

Gérard Dreyfus, Léon Personnaz, Anne Johannet, 2012 .

A statistical method for the prediction of the loop tack and the peel of PSAs from probe test measurements

Léon Personnaz, Isabelle Rivals, Costantino Creton, 2005 .

Les machines neuronales

I. Guyon, L. Personnaz, G. Dreyfus, 1988 .

Transcriptional disruptions in Down syndrome: a case study in the Ts1Cje mouse cerebellum during post‐natal development

L. Personnaz, J. Rossier, L. Dauphinot, 2006, Journal of neurochemistry.

Nonlinear internal model control using neural networks: application to processes with delay and design issues

Léon Personnaz, Isabelle Rivals, L. Personnaz, 2000, IEEE Trans. Neural Networks Learn. Syst..

Enrichment or depletion of a GO category within a class of genes: which test?

Léon Personnaz, Marie-Claude Potier, Isabelle Rivals, 2007, Bioinform..

Classification of human chromosome 21 gene-expression variations in Down syndrome: impact on disease phenotypes.

J M Delabar, G Golfier, J Aubert, 2007, American journal of human genetics.

Specification and implementation of a digital Hopfield-type associative memory with on-chip training

Gérard Dreyfus, Léon Personnaz, Anne Johannet, 1992, IEEE Trans. Neural Networks.

A unified framework for gradient algorithms used for filter adaptation and neural network training

Odile Macchi, Pierre Roussel-Ragot, Gérard Dreyfus, 1992, Int. J. Circuit Theory Appl..

SPECIAL I SSUE Transcriptional disruptions in Down syndrome: a case study in the Ts1Cje mouse cerebellum during post-natal development

L. Personnaz, J. Rossier, L. Dauphinot, 2006 .

The selection of neural models of nonlinear dynamical systems by statistical tests

L. Personnaz, D. Urbani, G. Dreyfus, 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

Combined XRD, EXAFS, and Mössbauer Studies of the Reduction by Lithium of α Fe2 O 3 with Various Particle Sizes

L. Personnaz, J. Tarascon, D. Larcher, 2003 .

Effect of Sample Volume in Linear Preparative Chromatography: A More Rigorous Treatment

L. Personnaz, P. Gareil, 1981 .

Training wavelet networks for nonlinear dynamic input-output modeling

Gérard Dreyfus, Léon Personnaz, Yacine Oussar, 1998, Neurocomputing.

BLACK-BOX MODELING WITH STATE-SPACE NEURAL NETWORKS

Léon Personnaz, Isabelle Rivals, L. Personnaz, 1995 .

High Order Neural Networks for Efficient Associative Memory Design

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987, NIPS.

Construction of confidence intervals for neural networks based on least squares estimation

Léon Personnaz, Isabelle Rivals, L. Personnaz, 2000, Neural Networks.

Silicon Integration of Learning Algorithms and Other Auto-Adaptive Properties in a Digital Feedback Neural Network

Gérard Dreyfus, Léon Personnaz, Anne Johannet, 1991 .

Of points and loops

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1988 .

The cerebellar transcriptome during postnatal development of the Ts1Cje mouse, a segmental trisomy model for Down syndrome.

L. Personnaz, J. Rossier, C. Epstein, 2005, Human molecular genetics.

A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models

Léon Personnaz, Isabelle Rivals, L. Personnaz, 1998, Neurocomputing.

BIOINFORMATICS REVIEW

L. Personnaz, M. Potier, I. Rivals, 2005 .

High-order neural networks: information storage without errors

Isabelle Guyon, Gérard Dreyfus, Léon Personnaz, 1987 .

Databases and ontologies Enrichment or depletion of a GO category within a class of genes : which test ?

L. Personnaz, M. Potier, I. Rivals, 2007 .

Internal model control using neural networks

Léon Personnaz, Isabelle Rivals, L. Personnaz, 1996, Proceedings of IEEE International Symposium on Industrial Electronics.

Modeling and control of mobile robots and intelligent vehicles by neural networks

L. Personnaz, I. Rivals, D. Canas, 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

Nonlinear internal model control using neural networks: application to processes with delay and design issues

L. Personnaz, I. Rivals, 2000, IEEE Trans. Neural Networks Learn. Syst..

On Cross Validation for Model Selection

Léon Personnaz, Isabelle Rivals, L. Personnaz, 1999, Neural Computation.

Enrichment or depletion of a GO category within a class of genes: which test?

L. Personnaz, M. Potier, L. Taing, 2007, Bioinform..

NON-LINEAR RECURSIVE IDENTIFICATION AND CONTROL BY NEURAL NETWORKS: A GENERAL FRAMEWORK

Gérard Dreyfus, Léon Personnaz, O. Nerrand, 1993 .

MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling

Léon Personnaz, Isabelle Rivals, L. Personnaz, 2003, J. Mach. Learn. Res..

Collective computational properties of neural networks: New learning mechanisms.

L. Personnaz, G. Dreyfus, Personnaz, 1986, Physical review. A, General physics.