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Yves Chauvin
Yves Chauvin
Head of Climate Intelligence, Tensoriel
Verified email at tensoriel.com
Title
Cited by
Cited by
Year
Assessing the accuracy of prediction algorithms for classification: an overview
P Baldi, S Brunak, Y Chauvin, CAF Andersen, H Nielsen
Bioinformatics 16 (5), 412-424, 2000
25892000
Backpropagation: theory, architectures, and applications
Y Chauvin, DE Rumelhart
Psychology press, 2013
9692013
Backpropagation: The basic theory
DE Rumelhart, R Durbin, R Golden, Y Chauvin
Backpropagation, 1-34, 2013
7122013
Hidden Markov models of biological primary sequence information.
P Baldi, Y Chauvin, T Hunkapiller, MA McClure
Proceedings of the National Academy of Sciences 91 (3), 1059-1063, 1994
6921994
A back-propagation algorithm with optimal use of hidden units
Y Chauvin
Advances in neural information processing systems 1, 1988
3371988
The biology of eukaryotic promoter prediction—a review
AG Pedersen, P Baldi, Y Chauvin, S Brunak
Computers & chemistry 23 (3-4), 191-207, 1999
3311999
Neural networks for fingerprint recognition
P Baldi, Y Chauvin
neural computation 5 (3), 402-418, 1993
2601993
Smooth on-line learning algorithms for hidden Markov models
P Baldi, Y Chauvin
Neural Computation 6 (2), 307-318, 1994
2121994
DNA structure in human RNA polymerase II promoters
AG Pedersen, P Baldi, Y Chauvin, S Brunak
Journal of molecular biology 281 (4), 663-673, 1998
1111998
Characterization of prokaryotic and eukaryotic promoters using hidden Markov models.
AG Pedersen, P Baldi, S Brunak, Y Chauvin
Ismb 4 (1), 182-191, 1996
1031996
Naturally occurring nucleosome positioning signals in human exons and introns
P Baldi, S Brunak, Y Chauvin, A Krogh
Journal of molecular biology 263 (4), 503-510, 1996
951996
Generalization performance of overtrained back-propagation networks
Y Chauvin
European Association for Signal Processing Workshop, 45-55, 1990
841990
Dynamic behavior of constained back-propagation networks
Y Chauvin
Advances in neural information processing systems 2, 1989
811989
Hybrid modeling, HMM/NN architectures, and protein applications
P Baldi, Y Chauvin
Neural Computation 8 (7), 1541-1565, 1996
751996
Temporal evolution of generalization during learning in linear networks
P Baldi, Y Chauvin
Neural Computation 3 (4), 589-603, 1991
691991
Principal component analysis by gradient descent on a constrained linear Hebbian cell
Chauvin
International 1989 Joint Conference on Neural Networks, 373-380 vol. 1, 1989
661989
Hidden Markov models in molecular biology: new algorithms and applications
P Baldi, Y Chauvin, T Hunkapiller, M McClure
Advances in Neural Information Processing Systems 5, 1992
571992
Computational applications of DNA structural scales.
P Baldi, S Brunak, Y Chauvin, AG Pedersen
Ismb 6, 35-42, 1998
501998
Structural basis for triplet repeat disorders: a computational analysis
P Baldi, S Brunak, Y Chauvin, A Gorm Pedersen
Bioinformatics 15 (11), 918-929, 1999
401999
Hidden Markov models of the g-protein-coupled receptor family
P Baldi, Y Chauvin
Journal of computational Biology 1 (4), 311-336, 1994
391994
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