Stéphane Bonnevay

According to our database1, Stéphane Bonnevay authored at least 37 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Topic modeling neuronal non-paramétrique pour l'extraction d'insight client : une application à l'industrie du pneumatique.
Proceedings of the Extraction et Gestion des Connaissances, 2023

2022
Nonparametric neural topic modeling for customer insight extraction about the tire industry.
Proceedings of the International Joint Conference on Neural Networks, 2022

Processus de Dirichlet profonds pour le topic modeling.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Neural Embedded Dirichlet Processes for Topic Modeling.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2019
Fractional LWE: a nonlinear variant of LWE.
IACR Cryptol. ePrint Arch., 2019

Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Securely Aggregating Testimonies with Threshold Multi-key FHE.
Proceedings of the Codes, Cryptology and Information Security, 2019

2017
Dynamic Bayesian networks with Gaussian mixture models for short-term passenger flow forecasting.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Prévision à court terme des flux de voyageurs du réseau ferré urbain : une approche par les réseaux bayésiens dynamiques.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

2016
Comparison of two metaheuristics to solve a 2-D cutting stock problem with set-up cost in the paper industry.
Int. J. Metaheuristics, 2016

ClusPath: a temporal-driven clustering to infer typical evolution paths.
Data Min. Knowl. Discov., 2016

Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Opinion mining from twitter data using evolutionary multinomial mixture models.
CoRR, 2015

A Comparative Study of Clustering Methods with Multinomial Distribution.
CoRR, 2015

Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

A Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup Cost in the Paper Industry.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering.
Proceedings of the Advances in Information Retrieval, 2015

2014
Data Science and Decision Support at ERIC.
SIGMOD Rec., 2014

Investigating the Image of Entities in Social Media: Dataset Design and First Results.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013
A hybrid evolutionary approach with search strategy adaptation for mutiobjective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
HEMH2: An Improved Hybrid Evolutionary Metaheuristics for 0/1 Multiobjective Knapsack Problems.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Hybrid Metaheuristics based on MOEA/D for 0/1 multiobjective knapsack problems: A comparative study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
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., 2011

A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
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

2009
A Stochastic and Pretopological Modeling Aerial Pollution of an Urban Area.
Stud. Inform. Univ., 2009

Pretopological operators for gray-level image analysis.
Stud. Inform. Univ., 2009

Prétopologie et applications: un état de l'art.
Stud. Inform. Univ., 2009

Incremental Bayesian Network Learning for Scalable Feature Selection.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

2008
Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer.
Neural Networks, 2008

2007
Negotiation platform based on game theory.
Proceedings of the 2007 IEEE International Conference on Research, 2007

Learning Bayesian network structures by estimation of distribution algorithms: An experimental analysis.
Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM), 2007

2005
Agent-based simulation of coalition formation in cooperative games.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

2003
A multiagent system to aggregate preferences.
Proceedings of the IEEE International Conference on Systems, 2003

2002
A pretopological approach for structural analysis.
Inf. Sci., 2002

1999
A pretopological approach for structuring data in non-metric spaces.
Electron. Notes Discret. Math., 1999

1996
Statistical analysis of textures from compressed images.
Proceedings of the Medical Imaging 1996: Image Processing, 1996


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