Stéphane Bonnevay

42 papers A 4B 10C 1Misc 1Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Topic modeling neuronal non-paramétrique pour l'extraction d'insight client : une application à l'industrie du pneumatique. EGC Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
2022	B	`conf`	Nonparametric neural topic modeling for customer insight extraction about the tire industry. IJCNN Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
2022	—	`conf`	Processus de Dirichlet profonds pour le topic modeling. EGC Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
2021	B	`conf`	Neural Embedded Dirichlet Processes for Topic Modeling. MDAI Miguel Palencia-Olivar, Stéphane Bonnevay, Alexandre Aussem, Bruno Canitia
2019	B	`conf`	Fractional LWE: A Nonlinear Variant of LWE. CANS Gérald Gavin, Stéphane Bonnevay
2019	J	`jnl`	Fractional LWE: a nonlinear variant of LWE. IACR Cryptol. ePrint Arch. Gérald Gavin, Stéphane Bonnevay
2019	—	`conf`	Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application. SOCO Stéphane Bonnevay, Jairo Cugliari, Victoria Granger
2019	—	`conf`	Securely Aggregating Testimonies with Threshold Multi-key FHE. C2SI Gérald Gavin, Stéphane Bonnevay
2017	Misc	`conf`	Dynamic Bayesian networks with Gaussian mixture models for short-term passenger flow forecasting. ISKE Jérémy Roos, Stéphane Bonnevay, Gérald Gavin
2017	—	`conf`	Prévision à court terme des flux de voyageurs du réseau ferré urbain : une approche par les réseaux bayésiens dynamiques. EGC Jérémy Roos, Stéphane Bonnevay, Gérald Gavin
2016	—	`ed.`	Artificial Evolution - 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers Artificial Evolution Stéphane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer
2016	J	`jnl`	ClusPath: a temporal-driven clustering to infer typical evolution paths. Data Min. Knowl. Discov. Marian-Andrei Rizoiu, Julien Velcin, Stéphane Bonnevay, Stéphane Lallich
2016	J	`jnl`	Comparison of two metaheuristics to solve a 2-D cutting stock problem with set-up cost in the paper industry. Int. J. Metaheuristics Stéphane Bonnevay, Gérald Gavin, Philippe Aubertin
2016	C	`conf`	Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach. ICMLA Jérémy Roos, Stéphane Bonnevay, Gérald Gavin
2016	J	`jnl`	Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. CoRR Young-Min Kim, Julien Velcin, Stéphane Bonnevay, Marian-Andrei Rizoiu
2015	J	`jnl`	A Comparative Study of Clustering Methods with Multinomial Distribution. CoRR Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques
2015	A	`conf`	A Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup Cost in the Paper Industry. GECCO Stéphane Bonnevay, Philippe Aubertin, Gérald Gavin
2015	J	`jnl`	ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths. CoRR Marian-Andrei Rizoiu, Julien Velcin, Stéphane Bonnevay, Stéphane Lallich
2015	J	`jnl`	Opinion mining from twitter data using evolutionary multinomial mixture models. CoRR Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques
2015	B	`conf`	Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. IDA Abul Hasnat, Julien Velcin, Stéphane Bonnevay, Julien Jacques
2015	A	`conf`	Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering. ECIR Young-Min Kim, Julien Velcin, Stéphane Bonnevay, Marian-Andrei Rizoiu
2014	J	`jnl`	Data Science and Decision Support at ERIC. SIGMOD Rec. Fadila Bentayeb, Julien Velcin, Stéphane Bonnevay, Jérôme Darmont
2014	B	`conf`	Investigating the Image of Entities in Social Media: Dataset Design and First Results. LREC 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
2013	A	`conf`	A hybrid evolutionary approach with search strategy adaptation for mutiobjective optimization. GECCO Ahmed Kafafy, Stéphane Bonnevay, Ahmed Bounekkar
2012	—	`conf`	HEMH2: An Improved Hybrid Evolutionary Metaheuristics for 0/1 Multiobjective Knapsack Problems. SEAL Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay
2012	B	`conf`	Hybrid Metaheuristics based on MOEA/D for 0/1 multiobjective knapsack problems: A comparative study. IEEE Congress on Evolutionary Computation Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay
2011	A	`conf`	A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems. GECCO Ahmed Kafafy, Ahmed Bounekkar, Stéphane Bonnevay
2011	J	`jnl`	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. Valérie Bourdès, Jean Ferrières, Jacques Amar, Elisabeth Amelineau, Stéphane Bonnevay, Maryse Berlion, Nicolas Danchin
2010	J	`jnl`	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. Valérie Bourdès, Stéphane Bonnevay, Paulo J. G. Lisboa, Rémy Defrance, David Pérol, Sylvie Chabaud, Thomas Bachelot, Thérèse Gargi, Sylvie Négrier
2009	J	`jnl`	A Stochastic and Pretopological Modeling Aerial Pollution of an Urban Area. Stud. Inform. Univ. Michel Lamure, Stéphane Bonnevay, Marc Bui, Soufian Ben Amor
2009	B	`conf`	Incremental Bayesian Network Learning for Scalable Feature Selection. IDA Grégory Thibault, Alex Aussem, Stéphane Bonnevay
2009	J	`jnl`	Pretopological operators for gray-level image analysis. Stud. Inform. Univ. Stéphane Bonnevay
2009	J	`jnl`	Prétopologie et applications: un état de l'art. Stud. Inform. Univ. Jean-Paul Auray, Stéphane Bonnevay, Marc Bui, Gérard Duru, Michel Lamure
2008	J	`jnl`	Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. Neural Networks 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
2007	—	`conf`	Learning Bayesian network structures by estimation of distribution algorithms: An experimental analysis. ICDIM Grégory Thibault, Stéphane Bonnevay, Alexandre Aussem
2007	—	`conf`	Negotiation platform based on game theory. RIVF Stéphane Bonnevay, Jérôme Champavère, Michel Lamure
2007	B	`conf`	Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer. IJCNN 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
2005	—	`conf`	Agent-based simulation of coalition formation in cooperative games. IAT Stéphane Bonnevay, Nadia Kabachi, Michel Lamure
2003	B	`conf`	A multiagent system to aggregate preferences. SMC Stéphane Bonnevay, Nadia Kabachi, Michel Lamure, Daniel Tounissoux
2002	J	`jnl`	A pretopological approach for structural analysis. Inf. Sci. Christine Largeron, Stéphane Bonnevay
1999	J	`jnl`	A pretopological approach for structuring data in non-metric spaces. Electron. Notes Discret. Math. Stéphane Bonnevay, Michel Lamure, Christine Largeron-Leténo, Nicolas Nicoloyannis
1996	B	`conf`	Statistical analysis of textures from compressed images. Image Processing Stéphane Bonnevay, Michel P. Lamure, Nicolas Nicoloyannis