Markovian Spatial Properties of a Random Field Describing a Stochastic Neural Network: Sequential of Parallel Implementation? - Thierry Hervé; Olivier François; Jacques Demongeot (EURASIP Workshop, 1990)

Convergence of a self-organizing stochastic neural network. - Olivier François; Jacques Demongeot; Thierry Hervé (Neural Networks, 1992)

Convergence in Simulated Evolution Algorithms. - Olivier François (Complex Syst., 1996)

New rigorous results for the Hopfield's neural network model. - Olivier François (Neural Networks, 1996)

An evolutionary strategy for global minimization and its Markov chain analysis. - Olivier François (IEEE Trans. Evol. Comput., 1998)

Controlling mutation/selection algorithms with stochastic approximation. - Olivier François (CEC, 1999)

Large Derivations, Evolutionary Computation and Comparisons of Algorithms. - Olivier François (PPSN, 2000)

Statistical Procedures for Spatiotemporal Neuronal Data with Applications to Optical Recording of the Auditory Cortex. - Olivier François; L. M. Ould Mohamed Abdallahi; J. Horikawa; I. Taniguchi; Thierry Hervé (Neural Comput., 2000)

Niching in Monte Carlo Filtering Algorithms. - Alexis Bienvenüe; Marc Joannides; Jean Bérard; Éric Fontenas; Olivier François (Artificial Evolution, 2001)

Monte Carlo simulation and population-based optimization. - Alain Cercueil; Olivier François (CEC, 2001)

Design of evolutionary algorithms-A statistical perspective. - Olivier François; Christian Lavergne (IEEE Trans. Evol. Comput., 2001)

Parameter estimation in a model for multidimensional recording of neuronal data: a Gibbsian approximation approach. - L. M. Ould Mohamed Abdallahi; Camilo La Rota; Maryse Béguin; Olivier François (Biol. Cybern., 2003)

Global convergence for evolution strategies in spherical problems: some simple proofs and difficulties. - Alexis Bienvenüe; Olivier François (Theor. Comput. Sci., 2003)

Réseaux bayésiens pour la classification Méthodologie et illustration dans le cadre du diagnostic médical. - Philippe Leray 001; Olivier François (Rev. d'Intelligence Artif., 2004)

Apprentissage de structure des réseaux bayésiens et données incomplètes. - Olivier François; Philippe Leray 001 (EGC, 2005)

Learning the Tree Augmented Naive Bayes Classifier from incomplete datasets. - Olivier François; Philippe Leray 001 (Probabilistic Graphical Models, 2006)

apTreeshape: statistical analysis of phylogenetic tree shape. - Nicolas Bortolussi; Eric Durand; Michael G. B. Blum; Olivier François (Bioinform., 2006)

De l'identification de structure de réseaux bayésiens à la reconnaissance de formes à partir d'informations complètes ou incomplètes. (Bayesian Network Identification from Complete or Incomplete Datasets). - Olivier François (2006)

Generation of Incompliete Test-Data usinng Bayesinan Networks. - Olivier François; Philippe Leray 001 (IJCNN, 2007)

Convergence Analysis of Evolution Strategies with Random Numbers of Offspring. - Olivier François (PPSN, 2008)

Comment on 'On the inference of spatial structure from population genetics data'. - Eric Durand; Chibiao Chen; Olivier François (Bioinform., 2009)

Non-linear regression models for Approximate Bayesian Computation. - Michael G. B. Blum; Olivier François (Stat. Comput., 2010)

Arbitrariness of peer review: A Bayesian analysis of the NIPS experiment. - Olivier François (CoRR, 2015)