2007 |
29 | EE | Rémi Dubois,
Pierre Maison-Blanche,
Brigitte Quenet,
Gérard Dreyfus:
Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators.
Computer Methods and Programs in Biomedicine 88(3): 217-233 (2007) |
28 | EE | François B. Vialatte,
Claire Martin,
Rémi Dubois,
Joëlle Haddad,
Brigitte Quenet,
Rémi Gervais,
Gérard Dreyfus:
A machine learning approach to the analysis of time-frequency maps, and its application to neural dynamics.
Neural Networks 20(2): 194-209 (2007) |
2006 |
27 | EE | Aurélie Goulon-Sigwalt-Abram,
Arthur F. Duprat,
Gérard Dreyfus:
Graph Machines and Their Applications to Computer-Aided Drug Design: A New Approach to Learning from Structured Data.
UC 2006: 1-19 |
26 | EE | Rémi Dubois,
Brigitte Quenet,
Y. Faisandier,
Gérard Dreyfus:
Building meaningful representations for nonlinear modeling of 1d- and 2d-signals: applications to biomedical signals.
Neurocomputing 69(16-18): 2180-2192 (2006) |
2005 |
25 | EE | François B. Vialatte,
Andrzej Cichocki,
Gérard Dreyfus,
Toshimitsu Musha,
Sergei L. Shishkin,
Rémi Gervais:
Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals.
ICANN (1) 2005: 683-692 |
24 | EE | Aurélie Goulon-Sigwalt-Abram,
Arthur F. Duprat,
Gérard Dreyfus:
From Hopfield nets to recursive networks to graph machines: Numerical machine learning for structured data.
Theor. Comput. Sci. 344(2-3): 298-334 (2005) |
2004 |
23 | EE | Yacine Oussar,
Gaétan Monari,
Gérard Dreyfus:
Reply to the Comments on "Local Overfitting Control via Leverages" in "Jacobian Conditioning Analysis for Model Validation" by I. Rivals and L. Personnaz.
Neural Computation 16(2): 419-443 (2004) |
2003 |
22 | EE | Hervé Stoppiglia,
Gérard Dreyfus,
Rémi Dubois,
Yacine Oussar:
Ranking a Random Feature for Variable and Feature Selection.
Journal of Machine Learning Research 3: 1399-1414 (2003) |
2002 |
21 | EE | Gaétan Monari,
Gérard Dreyfus:
Local Overfitting Control via Leverages.
Neural Computation 14(6): 1481-1506 (2002) |
2001 |
20 | EE | Yacine Oussar,
Gérard Dreyfus:
How to be a gray box: dynamic semi-physical modeling.
Neural Networks 14(9): 1161-1172 (2001) |
19 | EE | Brigitte Quenet,
David Horn,
Gérard Dreyfus,
Rémi Dubois:
Temporal coding in an olfactory oscillatory model.
Neurocomputing 38-40: 831-836 (2001) |
2000 |
18 | EE | Mathieu Stricker,
Frantz Vichot,
Gérard Dreyfus,
Francis Wolinski:
Training Context-Sensitive Neural Networks with Few Relevant Examples for the TREC-9 Routing.
TREC 2000 |
17 | EE | Mathieu Stricker,
Frantz Vichot,
Gérard Dreyfus,
Francis Wolinski:
Two Steps Feature Selection and Neural Network Classification for the TREC-8 Routing
CoRR cs.CL/0007016: (2000) |
16 | EE | Yacine Oussar,
Gérard Dreyfus:
Initialization by selection for wavelet network training.
Neurocomputing 34(1-4): 131-143 (2000) |
15 | EE | Gaétan Monari,
Gérard Dreyfus:
Withdrawing an example from the training set: An analytic estimation of its effect on a non-linear parameterised model.
Neurocomputing 35(1-4): 195-201 (2000) |
1999 |
14 | EE | Mathieu Stricker,
Frantz Vichot,
Gérard Dreyfus,
Francis Wolinski:
Two-Step Feature Selection and Neural Network Classification for the TREC-8 Routing.
TREC 1999 |
1998 |
13 | EE | Arthur F. Duprat,
T. Huynh,
Gérard Dreyfus:
Toward a Principled Methodology for Neural Network Design and Performance Evaluation in QSAR. Application to the Prediction of LogP.
Journal of Chemical Information and Computer Sciences 38(4): 586-594 (1998) |
12 | | Gérard Dreyfus,
Yizhak Idan:
A Canonical Form of Nonlinear Discrete-Time Models.
Neural Computation 10(1): 133-165 (1998) |
11 | EE | Yacine Oussar,
Isabelle Rivals,
Léon Personnaz,
Gérard Dreyfus:
Training wavelet networks for nonlinear dynamic input-output modeling.
Neurocomputing 20(1-3): 173-188 (1998) |
10 | | Léon Personnaz,
Gérard Dreyfus:
Comment on "Recurrent neural networks: A constructive algorithm, and its properties".
Neurocomputing 20(1-3): 321-324 (1998) |
9 | | Léon Personnaz,
Gérard Dreyfus:
Comment on "Discrete-time recurrent neural network architectures: A unifying review".
Neurocomputing 20(1-3): 325-331 (1998) |
1994 |
8 | EE | David Price,
Stefan Knerr,
Léon Personnaz,
Gérard Dreyfus:
Pairwise Neural Network Classifiers with Probabilistic Outputs.
NIPS 1994: 1109-1116 |
1992 |
7 | EE | Christiane Linster,
David Marsan,
Claudine Masson,
Michel Kerszberg,
Gérard Dreyfus,
Léon Personnaz:
A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results.
NIPS 1992: 1022-1029 |
1990 |
6 | | Léon Personnaz,
Gérard Dreyfus:
Neural Network Models and Applications: an Overview.
Modelling the Innovation 1990: 1-8 |
5 | | Pierre Roussel-Ragot,
Nadia Kouicem,
Gérard Dreyfus:
Error-Free Parallel Implementation of Simulated Annealing.
PPSN 1990: 231-241 |
4 | EE | Pierre Roussel-Ragot,
Gérard Dreyfus:
A problem independent parallel implementation of simulated annealing: models and experiments.
IEEE Trans. on CAD of Integrated Circuits and Systems 9(8): 827-835 (1990) |
1989 |
3 | | Léon Personnaz,
Gérard Dreyfus:
Neurocomputing in France.
Neurocomputing 1(1): 35-36 (1989) |
1987 |
2 | EE | Gérard Dreyfus,
Isabelle Guyon,
Jean-Pierre Nadal,
Léon Personnaz:
High Order Neural Networks for Efficient Associative Memory Design.
NIPS 1987: 233-241 |
1 | EE | Patrick Siarry,
L. Bergonzi,
Gérard Dreyfus:
Thermodynamic Optimization of Block Placement.
IEEE Trans. on CAD of Integrated Circuits and Systems 6(2): 211-221 (1987) |