S. Bonnevay

发表

Nonparametric neural topic modeling for customer insight extraction about the tire industry

A. Aussem, Miguel Palencia-Olivar, S. Bonnevay, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

A pretopological approach for structural analysis

Stéphane Bonnevay, Christine Largeron, C. Largeron, 2002, Inf. Sci..

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

Paulo J. G. Lisboa, Valérie Bourdès, Stéphane Bonnevay, 2007, 2007 International Joint Conference on Neural Networks.

A Model of Microinsurance and Reinsurance

D. Dror, G. Duru, M. Lamure, 2007 .

Prediction of persistence of combined evidence-based cardiovascular medications in patients with acute coronary syndrome after hospital discharge using neural networks

Valérie Bourdès, Stéphane Bonnevay, Jean Ferrières, 2011, Medical & Biological Engineering & Computing.

A hybrid evolutionary approach with search strategy adaptation for mutiobjective optimization

Stéphane Bonnevay, Ahmed Bounekkar, Ahmed Kafafy, 2013, GECCO '13.

Combining imperfect knowledge of maybe corrupted sources

Gérald Gavin, Stéphane Bonnevay, G. Gavin, 2017, 2017 ISEA Asia Security and Privacy (ISEASP).

Cost-effectiveness of public health interventions against human influenza pandemics in France: a methodological contribution from the FLURESP European Commission project.

J. Oxford, P. Goryński, C. Rizzo, 2019, European journal of public health.

Evolutionary clustering for categorical data using parametric links among multinomial mixture models

Julien Jacques, Stéphane Bonnevay, Julien Velcin, 2017 .

Development of a Rule Based Prognostic Tool for HER 2 Positive Breast Cancer Patients

P.J.G. Lisboa, M.S.H. Aung, T.A. Etchells, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Assessment of human influenza pandemic scenarios in Europe.

A Nicoll, P Goryński, C Lionis, 2015, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

Securely Aggregating Testimonies with Threshold Multi-key FHE

Stéphane Bonnevay, Gérald Gavin, G. Gavin, 2019, C2SI.

A dynamic Bayesian network approach to forecast short-term urban rail passenger flows with incomplete data

Gérald Gavin, Stéphane Bonnevay, Jeremy Roos, 2017 .

Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach

Stéphane Bonnevay, Gérald Gavin, Jérémy Roos, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Dynamic Bayesian networks with Gaussian mixture models for short-term passenger flow forecasting

Stéphane Bonnevay, Gérald Gavin, Jérémy Roos, 2017, 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE).

Opinion mining from twitter data using evolutionary multinomial mixture models pdf

Julien Jacques, Stéphane Bonnevay, Julien Velcin, 2015, ArXiv.

Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering pdf

Young-Min Kim, Stéphane Bonnevay, Julien Velcin, 2015, ECIR.

Artificial Evolution

Marc Schoenauer, Nicolas Monmarché, Pierrick Legrand, 2000, Lecture Notes in Computer Science.

Neural Embedded Dirichlet Processes for Topic Modeling

Stéphane Bonnevay, Alex Aussem, Bruno Canitia, 2021, MDAI.

Breast Cancer Predictions by Neural Networks Analysis: a Comparison with Logistic Regression

S. Chabaud, D. Perol, S. Bonnevay, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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, Paolo Lisboa, 2010, Adv. Artif. Neural Syst..

Prediction of persistence of combined evidence-based cardiovascular medications in patients with acute coronary syndrome after hospital discharge using neural networks

J. Ferrières, J. Amar, N. Danchin, 2011, Medical & Biological Engineering & Computing.

Investigating the Image of Entities in Social Media: Dataset Design and First Results

Eric SanJuan, Alejandro Molina-Villegas, Julien Velcin, 2014, LREC.

Predictive Maintenance from Event Logs Using Wavelet-Based Features: An Industrial Application

Stéphane Bonnevay, Jairo Cugliari, Victoria Granger, 2019, SOCO.

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

T. Bachelot, D. Pérol, V. Bourdès, 2007, 2007 International Joint Conference on Neural Networks.