Jean Pierre Asselin de Beauville

Le e-lien, une solution pour l'extraction et le partage de connaissances structurées dans les documents hypertextuels

Gilles Verley, Jean Pierre Asselin de Beauville, 2004, EGC.

A bounded exploration approach to constructive algorithms for recurrent neural networks

Romuald Boné, Gilles Verley, Jean Pierre Asselin de Beauville, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Des algorithmes évolutionnaires pour la classification automatique

Jean Pierre Asselin de Beauville, Fatima Zohra Kettaf, 2000, Monde des Util. Anal. Données.

Multilayer Perception Learning Control

Gilles Verley, Jean Pierre Asselin de Beauville, J. A. D. Beauville, 1996, Euro-Par, Vol. II.

Optimizing Hidden Markov Models with a Genetic Algorithm

Mohamed Slimane, Gilles Venturini, Jean Pierre Asselin de Beauville, 1995, Artificial Evolution.

Bayesian learning for recurrent neural networks

Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville, 2001, Neurocomputing.

Contour-Detection Using the Shape of the Nearest Neighbors Set (NN-Set)

Jean Pierre Asselin de Beauville, M. C. Mraghni, 1993, CAIP.

Bayesian learning for time series prediction with exogenous variables

Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Soft primitive extraction on handwritten digits

Jean Pierre Asselin de Beauville, Nozha Boujemaa, Gilles Roux, 1997, Proceedings of International Conference on Image Processing.

On Using Interactive Genetic Algorithms for Knowledge Discovery in Databases

Mohamed Slimane, Gilles Venturini, Jean Pierre Asselin de Beauville, 1997, ICGA.

A Web Oriented Recurrent Neural Network Simulator

Michel Crucianu, Pascal Makris, Romuald Boné, 1998, ICONIP.

Model Comparison for Monthly Forecasts of the CAC 40

Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville, 1998, ICONIP.

Le discriminateur à plus proche structure propre

Jean Pierre Asselin de Beauville, Nicole Vincent, Eric Darmigny, 1998, Monde des Util. Anal. Données.

NAR time-series prediction: a Bayesian framework and an experiment

Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville, 1998, ESANN.

An algorithm for the addition of time-delayed connections to recurrent neural networks

Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville, 2000, ESANN.

Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks

Jean Pierre Asselin de Beauville, R. Bone, M. Crucianu, 2002, Neurocomputing.