Isabelle Rivals

According to our database, Isabelle Rivals authored at least 15 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Body Volatolome Sampling: Deciphering the Matrix for Improved Health Monitoring.

Elsa Boudard, Nabil Moumane, José Dugay, Isabelle Rivals, Jérôme Vial, Didier Thiébaut

Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2024

2023

Evaluation of distance-based approaches for forensic comparison: Application to hand odor evidence.

Isabelle Rivals, Cédric Sautier, Guillaume Cognon, Vincent Cuzuel

CoRR, 2023

2013

A semi-automated computer tool for the analysis of retinal vessel diameter dynamics.

Guillaume Euvrard, Olivier Genevois, Isabelle Rivals, Pascale Massin, Amélie Collet, José-Alain Sahel, Michel Pâques

Comput. Biol. Medicine, 2013

2007

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

2004

Jacobian Conditioning Analysis for Model Validation.

Isabelle Rivals, Léon Personnaz

Neural Comput., 2004

2003

No free lunch with the sandwich [sandwich estimator].

Isabelle Rivals, Léon Personnaz

IEEE Trans. Neural Networks, 2003

Neural-network construction and selection in nonlinear modeling.

Isabelle Rivals, Léon Personnaz

IEEE Trans. Neural Networks, 2003

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

Isabelle Rivals, Léon Personnaz

J. Mach. Learn. Res., 2003

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

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

Isabelle Rivals, Léon Personnaz

Neural Networks, 2000

1999

On Cross Validation for Model Selection.

Isabelle Rivals, Léon Personnaz

Neural Comput., 1999

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

Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

1998

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

Isabelle Rivals, Léon Personnaz

Neurocomputing, 1998

Training wavelet networks for nonlinear dynamic input-output modeling.

Yacine Oussar, Isabelle Rivals, Léon Personnaz, Gérard Dreyfus

Neurocomputing, 1998

1995

Modélisation et commande de processus par réseaux de neurones ; application au pilotage d'un véhicule autonome. (Process modeling and control using artificial neural networks: application to the real-time control of an autonomous vehicle).

Isabelle Rivals

PhD thesis, 1995