| 2022 | IJCNN | Nonparametric neural topic modeling for customer insight extraction about the tire industry. | Miguel Palencia-Olivar, Stphane Bonnevay, Alexandre Aussem, Bruno Canitia |
| 2021 | MDAI | Neural Embedded Dirichlet Processes for Topic Modeling. | Miguel Palencia-Olivar, Stphane Bonnevay, Alexandre Aussem, Bruno Canitia |
| 2019 | CANS | Fractional LWE: A Nonlinear Variant of LWE. | Grald Gavin, Stphane Bonnevay |
| 2017 | ISKE | Dynamic Bayesian networks with Gaussian mixture models for short-term passenger flow forecasting. | Jrmy Roos, Stphane Bonnevay, Grald Gavin |
| 2016 | ICMLA | Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach. | Jrmy Roos, Stphane Bonnevay, Grald Gavin |
| 2015 | ECIR | Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. | Young-Min Kim, Julien Velcin, Stphane Bonnevay, Marian-Andrei Rizoiu |
| 2015 | GECCO | A Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup Cost in the Paper Industry. | Stphane Bonnevay, Philippe Aubertin, Grald Gavin |
| 2015 | IDA | Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. | Abul Hasnat, Julien Velcin, Stphane Bonnevay, Julien Jacques |
| 2014 | LREC | 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, Stphane Bonnevay, Claude Roux, Julien Boyadjian, Alejandro Molina-Villegas, Marie Neihouser |
| 2013 | GECCO | A hybrid evolutionary approach with search strategy adaptation for mutiobjective optimization. | Ahmed Kafafy, Stphane Bonnevay, Ahmed Bounekkar |
| 2012 | CEC | Hybrid Metaheuristics based on MOEA/D for 0/1 multiobjective knapsack problems: A comparative study. | Ahmed Kafafy, Ahmed Bounekkar, Stphane Bonnevay |
| 2011 | GECCO | A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems. | Ahmed Kafafy, Ahmed Bounekkar, Stphane Bonnevay |
| 2009 | IDA | Incremental Bayesian Network Learning for Scalable Feature Selection. | Grgory Thibault, Alex Aussem, Stphane Bonnevay |
| 2007 | IJCNN | 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 Prol, Thrse Gargi, Valrie Bourds, Stphane Bonnevay, Sylvie Ngrier |
| 2003 | SMC | A multiagent system to aggregate preferences. | Stphane Bonnevay, Nadia Kabachi, Michel Lamure, Daniel Tounissoux |