Etienne Côme
Etienne Côme
Verified email at ifsttar.fr
TitleCited byYear
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), 39, 2014
1262014
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
1082009
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
772016
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
662017
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
592015
The discriminative functional mixture model for a comparative analysis of bike sharing systems
C Bouveyron, E Côme, J Jacques
The Annals of Applied Statistics 9 (4), 1726-1760, 2015
472015
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
402014
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
402014
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
402008
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
352016
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
322014
Aircraft engine health monitoring using self-organizing maps
E Côme, M Cottrell, M Verleysen, J Lacaille
Industrial Conference on Data Mining, 405-417, 2010
302010
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
262014
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 Denœux, P Aknin
Soft computing 16 (5), 741-754, 2012
222012
Visual mining and statistics for a turbofan engine fleet
J Lacaille, E Côme
2011 Aerospace Conference, 1-8, 2011
212011
Mixture model estimation with soft labels
E Côme, L Oukhellou, T Denœux, P Aknin
Soft Methods for Handling Variability and Imprecision, 165-174, 2008
192008
Toward Bicycle Demand Prediction of Large-Scale Bicycle-Sharing System
Y Han, E Côme, L Oukhellou
152014
Understanding passenger patterns in public transit through smart card and socioeconomic data: A case study in rennes, france
MK El Mahrsi, E Come, J Baro, L Oukhellou
ACM SIGKDD Workshop on Urban Computing, 9p, 2014
142014
Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework
W Sammouri, E Côme, L Oukhellou, P Aknin, CE Fonlladosa, ...
2012 15th International IEEE Conference on Intelligent Transportation …, 2012
132012
Clustering the Vélib'origin-destinations flows by means of Poisson mixture models.
AN Randriamanamihaga, E Côme, L Oukhellou, G Govaert
ESANN, 2013
122013
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Articles 1–20