 | 2010 |
| 18 |  | Michael G. B. Blum,
Olivier François:
Non-linear regression models for Approximate Bayesian Computation.
Statistics and Computing 20(1): 63-73 (2010) |
| 2009 |
| 17 |  | Eric Durand,
Chibiao Chen,
Olivier François:
Comment on 'On the inference of spatial structure from population genetics data'.
Bioinformatics 25(14): 1802-1804 (2009) |
| 2008 |
| 16 |  | Olivier François:
Convergence Analysis of Evolution Strategies with Random Numbers of Offspring.
PPSN 2008: 21-30 |
| 2007 |
| 15 |  | Olivier François,
Philippe Leray:
Generation of Incompliete Test-Data usinng Bayesinan Networks.
IJCNN 2007: 2391-2396 |
| 2006 |
| 14 |  | Olivier François,
Philippe Leray:
Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets.
Probabilistic Graphical Models 2006: 91-98 |
| 13 |  | Nicolas Bortolussi,
Eric Durand,
Michael G. B. Blum,
Olivier François:
apTreeshape: statistical analysis of phylogenetic tree shape.
Bioinformatics 22(3): 363-364 (2006) |
| 2005 |
| 12 |  | Olivier François,
Philippe Leray:
Apprentissage de structure des réseaux bayésiens et données incomplètes.
EGC 2005: 127-132 |
| 2004 |
| 11 |  | Philippe Leray,
Olivier François:
Réseaux bayésiens pour la classification Méthodologie et illustration dans le cadre du diagnostic médical.
Revue d'Intelligence Artificielle 18(2): 169-193 (2004) |
| 2003 |
| 10 |  | L. M. Ould Mohamed Abdallahi,
Camilo La Rota,
M. Béguin,
Olivier François:
Parameter estimation in a model for multidimensional recording of neuronal data: a Gibbsian approximation approach.
Biological Cybernetics 89(3): 170-178 (2003) |
| 9 |  | Alexis Bienvenüe,
Olivier François:
Global convergence for evolution strategies in spherical problems: some simple proofs and difficulties.
Theor. Comput. Sci. 306(1-3): 269-289 (2003) |
| 2001 |
| 8 |  | Alexis Bienvenüe,
Marc Joannides,
Jean Bérard,
Éric Fontenas,
Olivier François:
Niching in Monte Carlo Filtering Algorithms.
Artificial Evolution 2001: 19-30 |
| 7 |  | Olivier François,
Christian Lavergne:
Design of evolutionary algorithms-A statistical perspective.
IEEE Trans. Evolutionary Computation 5(2): 129-148 (2001) |
| 2000 |
| 6 |  | Olivier François:
Large Derivations, Evolutionary Computation and Comparisons of Algorithms.
PPSN 2000: 79-88 |
| 5 |  | Olivier François,
L. M. Ould Mohamed Abdallahi,
J. Horikawa,
I. Taniguchi,
Thierry Hervé:
Statistical Procedures for Spatiotemporal Neuronal Data with Applications to Optical Recording of the Auditory Cortex.
Neural Computation 12(8): 1821-1838 (2000) |
| 1998 |
| 4 |  | Olivier François:
An evolutionary strategy for global minimization and its Markov chain analysis.
IEEE Trans. Evolutionary Computation 2(3): 77-90 (1998) |
| 1996 |
| 3 |  | Olivier François:
New rigorous results for the Hopfield's neural network model.
Neural Networks 9(3): 503-507 (1996) |
| 1992 |
| 2 |  | Olivier François,
Jacques Demongeot,
Thierry Hervé:
Convergence of a self-organizing stochastic neural network.
Neural Networks 5(2): 277-282 (1992) |
| 1990 |
| 1 |  | Thierry Hervé,
Olivier François,
Jacques Demongeot:
Markovian Spatial Properties of a Random Field Describing a Stochastic Neural Network: Sequential of Parallel Implementation?
EURASIP Workshop 1990: 81-89 |