Mixture-model-based signal denoising. - Allou Samé; Latifa Oukhellou; Etienne Côme; Patrice Aknin (Adv. Data Anal. Classif., 2007)

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 (ICMLA, 2008)

Mixture Model Estimation with Soft Labels. - Etienne Côme; Latifa Oukhellou; Thierry Denoeux; Patrice Aknin (SMPS, 2008)

Partially-supervised learning in Independent Factor Analysis. - Etienne Côme; Latifa Oukhellou; Patrice Aknin; Thierry Denoeux (ESANN, 2009)

Railway device diagnosis using sparse Independent Component Analysis. - Zohra Leila Cherfi; Etienne Côme; Latifa Oukhellou; Patrice Aknin (EUSIPCO, 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 (ICANN (2), 2009)

Supervised Classification and Visualization of Social Networks Based on a Probabilistic Latent Space Model. - Charles Bouveyron; Hugh A. Chipman; Etienne Côme (MLG/SRL@ILP, 2009)

Learning from partially supervised data using mixture models and belief functions. - Etienne Côme; Latifa Oukhellou; Thierry Denoeux; Patrice Aknin (Pattern Recognit., 2009)

Self Organizing Star (SOS) for health monitoring. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (ESANN, 2010)

Aircraft Engine Health Monitoring Using Self-Organizing Maps. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (ICDM, 2010)

Semi-supervised Feature Extraction Using Independent Factor Analysis. - Latifa Oukhellou; Etienne Côme; Patrice Aknin; Thierry Denoeux (ICMLA (2), 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 (NL-MUA, 2011)

Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance. - Etienne Côme; Marie Cottrell; Michel Verleysen; Jérôme Lacaille (WSOM, 2011)

Automatic inference of map attributes from mobile data. - Aude Hofleitner; Etienne Côme; Latifa Oukhellou; Jean-Patrick Lebacque; Alexandre M. Bayen (ITSC, 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 (ITSC, 2012)

Professional Trajectories of Workers Using Disconnected Self-Organizing Maps. - Etienne Côme; Marie Cottrell; Patrice Gaubert (WSOM, 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)

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)

Hierarchical and multiscale Mean Shift segmentation of population grids. - Johanna Baro; Etienne Côme; Patrice Aknin; Olivier Bonin (ESANN, 2013)

Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. - Andry Njato Randriamanamihaga; Etienne Côme; Latifa Oukhellou; Gérard Govaert (ESANN, 2013)

Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. - Wissam Sammouri; Etienne Côme; Latifa Oukhellou; Patrice Aknin (ICDM, 2013)

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 (ITSC, 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)

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)

A mixture model clustering approach for temporal passenger pattern characterization in public transport. - Anne-Sarah Briand; Etienne Côme; Mohamed Khalil El Mahrsi; Latifa Oukhellou (DSAA, 2015)

Analysis of professional trajectories using disconnected self-organizing maps. - Etienne Côme; Marie Cottrell; Patrice Gaubert (Neurocomputing, 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)

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 (ITSC, 2016)

Processing, mining and visualizing massive urban data. - Pierre Borgnat; Etienne Côme; Latifa Oukhellou (ESANN, 2017)

Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration. - Anaïs Rémy; Etienne Côme (ESANN, 2017)

Short & long term forecasting of multimodal transport passenger flows with machine learning methods. - Florian Toqué; Mostepha Khouadjia; Etienne Côme; Martin Trépanier; Latifa Oukhellou (ITSC, 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)

Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories. - Mohamed Khalil El Mahrsi; Cindie Andrieu; Etienne Côme; Zakaria Bezza; Latifa Oukhellou; Fabrice Rossi (ITSC, 2018)

Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data. - Florian Toqué; Etienne Côme; Martin Trépanier; Latifa Oukhellou (CoRR, 2020)

Machine learning and data mining for urban mobility intelligence. - Etienne Côme; Latifa Oukhellou; Allou Samé; Lijun Sun (ESANN, 2021)

A Lightweight Approach for Origin-Destination Matrix Anonymization. - Benoit Matet; Etienne Côme; Angelo Furno; Loïc Bonnetain; Latifa Oukhellou; Nour-Eddin El Faouzi (ESANN, 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)

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)

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 (ICDM (Workshops), 2023)

Bayesian contiguity constrained clustering. - Etienne Côme (Stat. Comput., 2024)

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. - Paul de Nailly; Etienne Côme; Latifa Oukhellou; Allou Samé; Jacques Ferriere; Yasmine Merad-Boudia (Adv. Data Anal. Classif., 2024)

Deep Probabilistic Forecasting of Multivariate Count Data With "Sums and Shares" Distributions: A Case Study on Pedestrian Counts in a Multimodal Transport Hub. - Paul de Nailly; Etienne Côme; Latifa Oukhellou; Allou Samé; Jacques Ferriere; Yasmine Merad-Boudia (IEEE Trans. Intell. Transp. Syst., 2024)

An agent-based model for estimating daily face-to-face contact networks in large urban systems. - Ismaïl Saadi; Etienne Côme; Liem Binh Luong Nguyen; Mahdi Zargayouna (Comput. Environ. Urban Syst., 2025)