Yves Chauvin

21 papers A 4Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2000 J jnl
Assessing the accuracy of prediction algorithms for classification: an overview.
Bioinform.
Pierre Baldi, Søren Brunak, Yves Chauvin, Claus A. F. Andersen, Henrik Nielsen
1999 J jnl
Structural basis for triplet repeat disorders: a computational analysis.
Bioinform.
Pierre Baldi, Søren Brunak, Yves Chauvin, Anders Gorm Pedersen
1999 J jnl
The Biology of Eukaryotic Promoter Prediction - A Review.
Comput. Chem.
Anders Gorm Pedersen, Pierre Baldi, Yves Chauvin, Søren Brunak
1998 A conf
Computational Applications of DNA Structural Scales.
ISMB
Pierre Baldi, Søren Brunak, Yves Chauvin, Anders Gorm Pedersen
1996 A conf
Characterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models.
ISMB
Anders Gorm Pedersen, Pierre Baldi, Søren Brunak, Yves Chauvin
1996 J jnl
Hybrid Modeling, HMM/NN Architectures, and Protein Applications.
Neural Comput.
Pierre Baldi, Yves Chauvin
1995 A conf
Periodic Sequence Patterns in Human Exons.
ISMB
Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh
1995 A conf
Protein Modeling with Hybrid Hidden Markov Model/Neural Network Architectures.
ISMB
Pierre Baldi, Yves Chauvin
1994 J jnl
Hidden Markov Models of the G-Protein-Coupled Receptor Family.
J. Comput. Biol.
Pierre Baldi, Yves Chauvin
1994 J jnl
Smooth On-Line Learning Algorithms for Hidden Markov Models.
Neural Comput.
Pierre Baldi, Yves Chauvin
1993 — conf
Hidden Markov Models for Human Genes.
NIPS
Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh
1993 J jnl
Neural Networks for Fingerprint Recognition.
Neural Comput.
Pierre Baldi, Yves Chauvin
1992 — conf
Hidden Markov Models in Molecular Biology: New Algorithms and Applications.
NIPS
Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure
1991 J jnl
Constrained Hebbian Learning: Gradient Descent to Global Minima in an N-Dimensional Landscape.
Int. J. Neural Syst.
Yves Chauvin
1991 J jnl
Menix: a UNIX User Adaptable Interface.
ACM SIGCHI Bull.
Yves Chauvin
1991 J jnl
Temporal Evolution of Generalization during Learning in Linear Networks.
Neural Comput.
Pierre Baldi, Yves Chauvin
1990 — conf
Generalization Dynamics in LMS Trained Linear Networks.
NIPS
Yves Chauvin
1990 — conf
Generalization Performance of Overtrained Back-Propagation Networks.
EURASIP Workshop
Yves Chauvin
1990 — conf
Neural Networks Structured for Control Application to Aircraft Landing.
NIPS
Charles Schley, Yves Chauvin, Van Henkle, Richard M. Golden
1989 — conf
Dynamic Behavior of Constained Back-Propagation Networks.
NIPS
Yves Chauvin
1988 — conf
A Back-Propagation Algorithm with Optimal Use of Hidden Units.
NIPS
Yves Chauvin