Etienne Côme

According to our database, Etienne Côme authored at least 39 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian contiguity constrained clustering.

Etienne Côme

Stat. Comput., 2024

2023

A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership.

Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou

Proceedings of the IEEE International Conference on Data Mining, 2023

2021

Hierarchical clustering with discrete latent variable models and the integrated classification likelihood.

Etienne Côme, Nicolas Jouvin, Pierre Latouche, Charles Bouveyron

Adv. Data Anal. Classif., 2021

Image Inpainting and Deep Learning to Forecast Short-Term Train Loads.

Thomas Bapaume, Etienne Côme, Jérémy Roos, Mostafa Ameli, Latifa Oukhellou

IEEE Access, 2021

A Lightweight Approach for Origin-Destination Matrix Anonymization.

Benoit Matet, Etienne Côme, Angelo Furno, Loïc Bonnetain, Latifa Oukhellou, Nour-Eddin El Faouzi

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Machine learning and data mining for urban mobility intelligence.

Etienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data.

Florian Toqué, Etienne Côme, Martin Trépanier, Latifa Oukhellou

CoRR, 2020

2018

Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories.

Mohamed Khalil El Mahrsi, Cindie Andrieu, Etienne Côme, Zakaria Bezza, Latifa Oukhellou, Fabrice Rossi

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Clustering Smart Card Data for Urban Mobility Analysis.

Mohamed Khalil El Mahrsi, Etienne Côme, Latifa Oukhellou, Michel Verleysen

IEEE Trans. Intell. Transp. Syst., 2017

Short & long term forecasting of multimodal transport passenger flows with machine learning methods.

Florian Toqué, Mostepha Khouadjia, Etienne Côme, Martin Trépanier, Latifa Oukhellou

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration.

Anaïs Rémy, Etienne Côme

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Processing, mining and visualizing massive urban data.

Pierre Borgnat, Etienne Côme, Latifa Oukhellou

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

A mixture model clustering approach for temporal passenger pattern characterization in public transport.

Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou

Int. J. Data Sci. Anal., 2016

Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks.

Florian Toqué, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network.

Pierre-Antoine Laharotte, Romain Billot, Etienne Côme, Latifa Oukhellou, Alfredo Nantes, Nour-Eddin El Faouzi

IEEE Trans. Intell. Transp. Syst., 2015

Analysis of professional trajectories using disconnected self-organizing maps.

Etienne Côme, Marie Cottrell, Patrice Gaubert

Neurocomputing, 2015

2014

Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris.

Etienne Côme, Latifa Oukhellou

ACM Trans. Intell. Syst. Technol., 2014

Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models.

Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert

Neurocomputing, 2014

Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework.

Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013

Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework.

Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2013

Clustering the Vélib' origin-destinations flows by means of Poisson mixture models.

Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Hierarchical and multiscale Mean Shift segmentation of population grids.

Johanna Baro, Etienne Côme, Patrice Aknin, Olivier Bonin

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012

Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis.

Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin

Soft Comput., 2012

Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints.

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin

Pattern Anal. Appl., 2012

Professional Trajectories of Workers Using Disconnected Self-Organizing Maps.

Etienne Côme, Marie Cottrell, Patrice Gaubert

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework.

Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa, Kevin Prendergast

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Automatic inference of map attributes from mobile data.

Aude Hofleitner, Etienne Côme, Latifa Oukhellou, Jean-Patrick Lebacque, Alexandre M. Bayen

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011

Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance.

Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device.

Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin

Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011

Semi-supervised Feature Extraction Using Independent Factor Analysis.

Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Aircraft Engine Health Monitoring Using Self-Organizing Maps.

Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Self Organizing Star (SOS) for health monitoring.

Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Learning from partially supervised data using mixture models and belief functions.

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin

Pattern Recognit., 2009

Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis.

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin

Proceedings of the Artificial Neural Networks, 2009

Railway device diagnosis using sparse Independent Component Analysis.

Zohra Leila Cherfi, Etienne Côme, Latifa Oukhellou, Patrice Aknin

Proceedings of the 17th European Signal Processing Conference, 2009

Partially-supervised learning in Independent Factor Analysis.

Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Mixture Model Estimation with Soft Labels.

Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin

Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008

Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis.

Etienne Côme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007

Mixture-model-based signal denoising.

Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin

Adv. Data Anal. Classif., 2007