| Clustering smart card data for urban mobility analysis K Mohamed, E Côme, L Oukhellou, M Verleysen IEEE Transactions on intelligent transportation systems 18 (3), 712-728, 2016 | 269 | 2016 |
| Model-based count series clustering for bike sharing system usage mining: a case study with the Vélib’system of Paris C Etienne, O Latifa ACM Transactions on Intelligent Systems and Technology (TIST) 5 (3), 1-21, 2014 | 255 | 2014 |
| Analyzing year-to-year changes in public transport passenger behaviour using smart card data AS Briand, E Côme, M Trépanier, L Oukhellou Transportation Research Part C: Emerging Technologies 79, 274-289, 2017 | 231 | 2017 |
| The discriminative functional mixture model for a comparative analysis of bike sharing systems C Bouveyron, E Côme, J Jacques | 166 | 2015 |
| Learning from partially supervised data using mixture models and belief functions E Côme, L Oukhellou, T Denoeux, P Aknin Pattern recognition 42 (3), 334-348, 2009 | 152 | 2009 |
| Forecasting dynamic public transport origin-destination matrices with long-short term memory recurrent neural networks F Toqué, E Côme, MK El Mahrsi, L Oukhellou 2016 IEEE 19th international conference on intelligent transportation …, 2016 | 148 | 2016 |
| Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood E Côme, P Latouche Statistical Modelling 15 (6), 564-589, 2015 | 141 | 2015 |
| Short & long term forecasting of multimodal transport passenger flows with machine learning methods F Toqué, M Khouadjia, E Come, M Trepanier, L Oukhellou 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 116 | 2017 |
| Understanding passenger patterns in public transit through smart card and socioeconomic data K Mohamed, E Côme, J Baro, L Oukhellou UrbComp, Seattle, WA, USA, 2014 | 109* | 2014 |
| Spatiotemporal analysis of bluetooth data: Application to a large urban network PA Laharotte, R Billot, E Come, L Oukhellou, A Nantes, NE El Faouzi IEEE Transactions on Intelligent Transportation Systems 16 (3), 1439-1448, 2014 | 100 | 2014 |
| A mixture model clustering approach for temporal passenger pattern characterization in public transport AS Briand, E Côme, MK El Mahrsi, L Oukhellou International Journal of Data Science and Analytics 1, 37-50, 2016 | 70 | 2016 |
| Combined use of sensor data and structural knowledge processed by Bayesian network: Application to a railway diagnosis aid scheme L Oukhellou, E Come, L Bouillaut, P Aknin Transportation Research Part C: Emerging Technologies 16 (6), 755-767, 2008 | 52 | 2008 |
| Spatio-temporal analysis of dynamic origin-destination data using latent dirichlet allocation: Application to vélib'bike sharing system of paris E Come, NA Randriamanamihaga, L Oukhellou, P Aknin TRB 93rd Annual meeting, 19p, 2014 | 51 | 2014 |
| Aircraft engine health monitoring using self-organizing maps E Côme, M Cottrell, M Verleysen, J Lacaille Advances in Data Mining. Applications and Theoretical Aspects: 10th …, 2010 | 44 | 2010 |
| Partially supervised independent factor analysis using soft labels elicited from multiple experts: Application to railway track circuit diagnosis ZL Cherfi, L Oukhellou, E Côme, T Denoeux, P Aknin Soft computing 16, 741-754, 2012 | 39 | 2012 |
| Clustering the Vélib׳ dynamic Origin/Destination flows using a family of Poisson mixture models AN Randriamanamihaga, E Côme, L Oukhellou, G Govaert Neurocomputing 141, 124-138, 2014 | 35 | 2014 |
| Mixture model estimation with soft labels E Côme, L Oukhellou, T Denœux, P Aknin Soft methods for handling variability and imprecision, 165-174, 2008 | 27 | 2008 |
| Visual mining and statistics for a turbofan engine fleet J Lacaille, E Côme 2011 Aerospace Conference, 1-8, 2011 | 26 | 2011 |
| Floating train data systems for preventive maintenance: A data mining approach W Sammouri, E Côme, L Oukhellou, P Aknin, CE Fonlladosa Proceedings of 2013 International Conference on Industrial Engineering and …, 2013 | 25 | 2013 |
| Hierarchical clustering with discrete latent variable models and the integrated classification likelihood E Côme, N Jouvin, P Latouche, C Bouveyron Advances in Data Analysis and Classification 15 (4), 957-986, 2021 | 22 | 2021 |
Latifa OukhellouDirectrice de Recherche. Gustave Eiffel UniversityGeverifieerd e-mailadres voor univ-eiffel.fr
