Stéphane Bonnevay

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 20

Top Topics

Bayesian Networks

Evolutionary Clustering

Top Venues

Publications

Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
Topic modeling neuronal non-paramétrique pour l'extraction d'insight client : une application à l'industrie du pneumatique. EGC (2023)
Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
Nonparametric neural topic modeling for customer insight extraction about the tire industry. IJCNN (2022)
Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
Processus de Dirichlet profonds pour le topic modeling. EGC (2022)
Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
Neural Embedded Dirichlet Processes for Topic Modeling. MDAI (2021)
Gérald Gavin, Stéphane Bonnevay
Fractional LWE: a nonlinear variant of LWE. IACR Cryptol. ePrint Arch. 2019 (2019)
Stéphane Bonnevay, Jairo Cugliari, Victoria Granger
Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application. SOCO (2019)
Gérald Gavin, Stéphane Bonnevay
Fractional LWE: A Nonlinear Variant of LWE. CANS (2019)
Gérald Gavin, Stéphane Bonnevay
Securely Aggregating Testimonies with Threshold Multi-key FHE. C2SI (2019)
Jérémy Roos, Stéphane Bonnevay, Gérald Gavin
Prévision à court terme des flux de voyageurs du réseau ferré urbain : une approche par les réseaux bayésiens dynamiques. EGC (2017)
Jérémy Roos, Stéphane Bonnevay, Gérald Gavin
Dynamic Bayesian networks with Gaussian mixture models for short-term passenger flow forecasting. ISKE (2017)
Young-Min Kim, Julien Velcin, Stéphane Bonnevay, Marian-Andrei Rizoiu
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. CoRR (2016)
Stéphane Bonnevay, Gérald Gavin, Philippe Aubertin
Comparison of two metaheuristics to solve a 2-D cutting stock problem with set-up cost in the paper industry. Int. J. Metaheuristics 5 (1) (2016)
Jérémy Roos, Stéphane Bonnevay, Gérald Gavin
Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach. ICMLA (2016)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Bonnevay, Stéphane Lallich
ClusPath: a temporal-driven clustering to infer typical evolution paths. Data Min. Knowl. Discov. 30 (5) (2016)
Md. Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques
A Comparative Study of Clustering Methods with Multinomial Distribution. CoRR (2015)
Young-Min Kim, Julien Velcin, Stéphane Bonnevay, Marian-Andrei Rizoiu
Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. ECIR (2015)
Marian-Andrei Rizoiu, Julien Velcin, Stéphane Bonnevay, Stéphane Lallich
ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths. CoRR (2015)
Md. Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques
Opinion mining from twitter data using evolutionary multinomial mixture models. CoRR (2015)
Stéphane Bonnevay, Philippe Aubertin, Gérald Gavin
A Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup Cost in the Paper Industry. GECCO (2015)
Md. Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. IDA (2015)
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
Investigating the Image of Entities in Social Media: Dataset Design and First Results. LREC (2014)
Fadila Bentayeb, Julien Velcin, Stéphane Bonnevay, Jérôme Darmont
Data Science and Decision Support at ERIC. SIGMOD Rec. 43 (4) (2014)
Ahmed Kafafy, Stéphane Bonnevay, Ahmed Bounekkar
A hybrid evolutionary approach with search strategy adaptation for mutiobjective optimization. GECCO (2013)
Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay
HEMH2: An Improved Hybrid Evolutionary Metaheuristics for 0/1 Multiobjective Knapsack Problems. SEAL (2012)
Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay
Hybrid Metaheuristics based on MOEA/D for 0/1 multiobjective knapsack problems: A comparative study. IEEE Congress on Evolutionary Computation (2012)
Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay
A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems. GECCO (2011)
Valérie Bourdès, Jean Ferrières, Jacques Amar, Elisabeth Amelineau, Stéphane Bonnevay, Maryse Berlion, Nicolas Danchin
Prediction of persistence of combined evidence-based cardiovascular medications in patients with acute coronary syndrome after hospital discharge using neural networks. Medical Biol. Eng. Comput. 49 (8) (2011)
Valérie Bourdès, Stéphane Bonnevay, Paulo J. G. Lisboa, Rémy Defrance, David Pérol, Sylvie Chabaud, Thomas Bachelot, Thérèse Gargi, Sylvie Négrier
Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes. Adv. Artif. Neural Syst. 2010 (2010)
Grégory Thibault, Alex Aussem, Stéphane Bonnevay
Incremental Bayesian Network Learning for Scalable Feature Selection. IDA (2009)
Stéphane Bonnevay
Pretopological operators for gray-level image analysis. Stud. Inform. Univ. 7 (1) (2009)
Jean-Paul Auray, Stéphane Bonnevay, Marc Bui, Gérard Duru, Michel Lamure
Prétopologie et applications: un état de l'art. Stud. Inform. Univ. 7 (1) (2009)
Michel Lamure, Stéphane Bonnevay, Marc Bui, Soufian Ben Amor
A Stochastic and Pretopological Modeling Aerial Pollution of an Urban Area. Stud. Inform. Univ. 7 (3) (2009)
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
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. Neural Networks 21 (2-3) (2008)
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
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. IJCNN (2007)
Stéphane Bonnevay, Jérôme Champavère, Michel Lamure
Negotiation platform based on game theory. RIVF (2007)
Grégory Thibault, Stéphane Bonnevay, Alexandre Aussem
Learning Bayesian network structures by estimation of distribution algorithms: An experimental analysis. ICDIM (2007)
Stéphane Bonnevay, Nadia Kabachi, Michel Lamure
Agent-based simulation of coalition formation in cooperative games. IAT (2005)
Stéphane Bonnevay, Nadia Kabachi, Michel Lamure, Daniel Tounissoux
A multiagent system to aggregate preferences. SMC (2003)
Christine Largeron, Stéphane Bonnevay
A pretopological approach for structural analysis. Inf. Sci. 144 (1-4) (2002)
Stéphane Bonnevay, Michel Lamure, Christine Largeron-Leténo, Nicolas Nicoloyannis
A pretopological approach for structuring data in non-metric spaces. Electron. Notes Discret. Math. 2 (1999)
Stéphane Bonnevay, Michel P. Lamure, Nicolas Nicoloyannis
Statistical analysis of textures from compressed images. Medical Imaging: Image Processing (1996)