Statistical analysis of textures from compressed images. - Stéphane Bonnevay; Michel P. Lamure; Nicolas Nicoloyannis (Image Processing, 1996)

A pretopological approach for structuring data in non-metric spaces. - Stéphane Bonnevay; Michel Lamure; Christine Largeron-Leténo; Nicolas Nicoloyannis (Electron. Notes Discret. Math., 1999)

A pretopological approach for structural analysis. - Christine Largeron; Stéphane Bonnevay (Inf. Sci., 2002)

A multiagent system to aggregate preferences. - Stéphane Bonnevay; Nadia Kabachi; Michel Lamure; Daniel Tounissoux (SMC, 2003)

Agent-based simulation of coalition formation in cooperative games. - Stéphane Bonnevay; Nadia Kabachi; Michel Lamure (IAT, 2005)

Learning Bayesian network structures by estimation of distribution algorithms: An experimental analysis. - Grégory Thibault; Stéphane Bonnevay; Alexandre Aussem (ICDIM, 2007)

Negotiation platform based on game theory. - Stéphane Bonnevay; Jérôme Champavère; Michel Lamure (RIVF, 2007)

Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. - Paulo J. G. Lisboa; Terence A. Etchells; Ian H. Jarman; M. S. Hane Aung; Sylvie Chabaud; Thomas Bachelot; David Pérol; Thérèse Gargi; Valérie Bourdès; Stéphane Bonnevay; Sylvie Négrier (Neural Networks, 2008)

Incremental Bayesian Network Learning for Scalable Feature Selection. - Grégory Thibault; Alex Aussem; Stéphane Bonnevay (IDA, 2009)

Prétopologie et applications: un état de l'art. - Jean-Paul Auray; Stéphane Bonnevay; Marc Bui; Gérard Duru; Michel Lamure (Stud. Inform. Univ., 2009)

Pretopological operators for gray-level image analysis. - Stéphane Bonnevay (Stud. Inform. Univ., 2009)

A Stochastic and Pretopological Modeling Aerial Pollution of an Urban Area. - Michel Lamure; Stéphane Bonnevay; Marc Bui; Soufian Ben Amor (Stud. Inform. Univ., 2009)

Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes. - Valérie Bourdès; Stéphane Bonnevay; Paulo J. G. Lisboa; Rémy Defrance; David Pérol; Sylvie Chabaud; Thomas Bachelot; Thérèse Gargi; Sylvie Négrier (Adv. Artif. Neural Syst., 2010)

A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems. - Ahmed Kafafy; Ahmed Bounekkar; Stéphane Bonnevay (GECCO, 2011)

Prediction of persistence of combined evidence-based cardiovascular medications in patients with acute coronary syndrome after hospital discharge using neural networks. - Valérie Bourdès; Jean Ferrières; Jacques Amar; Elisabeth Amelineau; Stéphane Bonnevay; Maryse Berlion; Nicolas Danchin (Medical Biol. Eng. Comput., 2011)

Hybrid Metaheuristics based on MOEA/D for 0/1 multiobjective knapsack problems: A comparative study. - Ahmed Kafafy; Ahmed Bounekkar; Stéphane Bonnevay (IEEE Congress on Evolutionary Computation, 2012)

HEMH2: An Improved Hybrid Evolutionary Metaheuristics for 0/1 Multiobjective Knapsack Problems. - Ahmed Kafafy; Ahmed Bounekkar; Stéphane Bonnevay (SEAL, 2012)

A hybrid evolutionary approach with search strategy adaptation for mutiobjective optimization. - Ahmed Kafafy; Stéphane Bonnevay; Ahmed Bounekkar (GECCO, 2013)

Investigating the Image of Entities in Social Media: Dataset Design and First Results. - Julien Velcin; Young-Min Kim; Caroline Brun; Jean-Yves Dormagen; Eric SanJuan; Leila Khouas; Anne Peradotto; Stéphane Bonnevay; Claude Roux; Julien Boyadjian; Alejandro Molina-Villegas; Marie Neihouser (LREC, 2014)

Data Science and Decision Support at ERIC. - Fadila Bentayeb; Julien Velcin; Stéphane Bonnevay; Jérôme Darmont (SIGMOD Rec., 2014)

Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. - Young-Min Kim; Julien Velcin; Stéphane Bonnevay; Marian-Andrei Rizoiu (ECIR, 2015)

A Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup Cost in the Paper Industry. - Stéphane Bonnevay; Philippe Aubertin; Gérald Gavin (GECCO, 2015)

Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. - Abul Hasnat 001; Julien Velcin; Stéphane Bonnevay; Julien Jacques (IDA, 2015)

A Comparative Study of Clustering Methods with Multinomial Distribution. - Abul Hasnat 001; Julien Velcin; Stéphane Bonnevay; Julien Jacques (CoRR, 2015)

Opinion mining from twitter data using evolutionary multinomial mixture models. - Abul Hasnat 001; Julien Velcin; Stéphane Bonnevay; Julien Jacques (CoRR, 2015)

Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach. - Jérémy Roos; Stéphane Bonnevay; Gérald Gavin (ICMLA, 2016)

ClusPath: a temporal-driven clustering to infer typical evolution paths. - Marian-Andrei Rizoiu; Julien Velcin; Stéphane Bonnevay; Stéphane Lallich (Data Min. Knowl. Discov., 2016)

Comparison of two metaheuristics to solve a 2-D cutting stock problem with set-up cost in the paper industry. - Stéphane Bonnevay; Gérald Gavin; Philippe Aubertin (Int. J. Metaheuristics, 2016)

Prévision à court terme des flux de voyageurs du réseau ferré urbain : une approche par les réseaux bayésiens dynamiques. - Jérémy Roos; Stéphane Bonnevay; Gérald Gavin (EGC, 2017)

Dynamic Bayesian networks with Gaussian mixture models for short-term passenger flow forecasting. - Jérémy Roos; Stéphane Bonnevay; Gérald Gavin (ISKE, 2017)

Securely Aggregating Testimonies with Threshold Multi-key FHE. - Gérald Gavin; Stéphane Bonnevay (C2SI, 2019)

Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application. - Stéphane Bonnevay; Jairo Cugliari; Victoria Granger (SOCO, 2019)

Fractional LWE: a nonlinear variant of LWE. - Gérald Gavin; Stéphane Bonnevay (IACR Cryptol. ePrint Arch., 2019)

Neural Embedded Dirichlet Processes for Topic Modeling. - Miguel Palencia-Olivar; Stéphane Bonnevay; Alexandre Aussem; Bruno Canitia (MDAI, 2021)

Processus de Dirichlet profonds pour le topic modeling. - Miguel Palencia-Olivar; Stéphane Bonnevay; Alexandre Aussem; Bruno Canitia (EGC, 2022)

Nonparametric neural topic modeling for customer insight extraction about the tire industry. - Miguel Palencia-Olivar; Stéphane Bonnevay; Alexandre Aussem; Bruno Canitia (IJCNN, 2022)

Topic modeling neuronal non-paramétrique pour l'extraction d'insight client : une application à l'industrie du pneumatique. - Miguel Palencia-Olivar; Stéphane Bonnevay; Alexandre Aussem; Bruno Canitia (EGC, 2023)