Etienne Côme

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 19

Top Topics

Public Transport

Data Exploration

Machine Learning And Data Mining

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. CoRR (2024)
Etienne Côme
Bayesian contiguity constrained clustering. Stat. Comput. 34 (2) (2024)
Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia
Multivariate count time series segmentation with "sums and shares" and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub. Adv. Data Anal. Classif. 18 (2) (2024)
Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. ICDM (Workshops) (2023)
Benoit Matet, Etienne Côme, Angelo Furno, Loïc Bonnetain, Latifa Oukhellou, Nour-Eddin El Faouzi
A Lightweight Approach for Origin-Destination Matrix Anonymization. ESANN (2021)
Etienne Côme, Nicolas Jouvin, Pierre Latouche, Charles Bouveyron
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. Adv. Data Anal. Classif. 15 (4) (2021)
Thomas Bapaume, Etienne Côme, Jérémy Roos, Mostafa Ameli, Latifa Oukhellou
Image Inpainting and Deep Learning to Forecast Short-Term Train Loads. IEEE Access 9 (2021)
Etienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun
Machine learning and data mining for urban mobility intelligence. ESANN (2021)
Florian Toqué, Etienne Côme, Martin Trépanier, Latifa Oukhellou
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data. CoRR (2020)
Mohamed Khalil El Mahrsi, Cindie Andrieu, Etienne Côme, Zakaria Bezza, Latifa Oukhellou, Fabrice Rossi
Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories. ITSC (2018)
Pierre Borgnat, Etienne Côme, Latifa Oukhellou
Processing, mining and visualizing massive urban data. ESANN (2017)
Mohamed Khalil El Mahrsi, Etienne Côme, Latifa Oukhellou, Michel Verleysen
Clustering Smart Card Data for Urban Mobility Analysis. IEEE Trans. Intell. Transp. Syst. 18 (3) (2017)
Anaïs Rémy, Etienne Côme
Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration. ESANN (2017)
Florian Toqué, Mostepha Khouadjia, Etienne Côme, Martin Trépanier, Latifa Oukhellou
Short & long term forecasting of multimodal transport passenger flows with machine learning methods. ITSC (2017)
Florian Toqué, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks. ITSC (2016)
Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
A mixture model clustering approach for temporal passenger pattern characterization in public transport. Int. J. Data Sci. Anal. 1 (1) (2016)
Etienne Côme, Marie Cottrell, Patrice Gaubert
Analysis of professional trajectories using disconnected self-organizing maps. Neurocomputing 147 (2015)
Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
A mixture model clustering approach for temporal passenger pattern characterization in public transport. DSAA (2015)
Pierre-Antoine Laharotte, Romain Billot, Etienne Côme, Latifa Oukhellou, Alfredo Nantes, Nour-Eddin El Faouzi
Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network. IEEE Trans. Intell. Transp. Syst. 16 (3) (2015)
Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert
Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. Neurocomputing 141 (2014)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa
Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework. ITSC (2014)
Etienne Côme, Latifa Oukhellou
Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris. ACM Trans. Intell. Syst. Technol. 5 (3) (2014)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. ICDM (2013)
Johanna Baro, Etienne Côme, Patrice Aknin, Olivier Bonin
Hierarchical and multiscale Mean Shift segmentation of population grids. ESANN (2013)
Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert
Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. ESANN (2013)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa, Kevin Prendergast
Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework. ITSC (2012)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Anal. Appl. 15 (3) (2012)
Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin
Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis. Soft Comput. 16 (5) (2012)
Etienne Côme, Marie Cottrell, Patrice Gaubert
Professional Trajectories of Workers Using Disconnected Self-Organizing Maps. WSOM (2012)
Aude Hofleitner, Etienne Côme, Latifa Oukhellou, Jean-Patrick Lebacque, Alexandre M. Bayen
Automatic inference of map attributes from mobile data. ITSC (2012)
Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin
Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device. NL-MUA (2011)
Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux
Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) (2011)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. WSOM (2011)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Aircraft Engine Health Monitoring Using Self-Organizing Maps. ICDM (2010)
Etienne Côme, Marie Cottrell, Michel Verleysen, Jérôme Lacaille
Self Organizing Star (SOS) for health monitoring. ESANN (2010)
Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux
Partially-supervised learning in Independent Factor Analysis. ESANN (2009)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Learning from partially supervised data using mixture models and belief functions. Pattern Recognit. 42 (3) (2009)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. ICANN (2) (2009)
Zohra Leila Cherfi, Etienne Côme, Latifa Oukhellou, Patrice Aknin
Railway device diagnosis using sparse Independent Component Analysis. EUSIPCO (2009)
Etienne Côme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin
Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis. ICMLA (2008)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Mixture Model Estimation with Soft Labels. SMPS (2008)
Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin
Mixture-model-based signal denoising. Adv. Data Anal. Classif. 1 (1) (2007)