Latifa Oukhellou
Latifa Oukhellou
Directrice de Recherche. UPE-Ifsttar
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Cited by
Cited by
Physical human activity recognition using wearable sensors
F Attal, S Mohammed, M Dedabrishvili, F Chamroukhi, L Oukhellou, ...
Sensors 15 (12), 31314-31338, 2015
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
An unsupervised approach for automatic activity recognition based on hidden Markov model regression
D Trabelsi, S Mohammed, F Chamroukhi, L Oukhellou, Y Amirat
IEEE Transactions on automation science and engineering 10 (3), 829-835, 2013
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
Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion
L Oukhellou, A Debiolles, T Denœux, P Aknin
Engineering Applications of Artificial Intelligence 23 (1), 117-128, 2010
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
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
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
Joint segmentation of multivariate time series with hidden process regression for human activity recognition
F Chamroukhi, S Mohammed, D Trabelsi, L Oukhellou, Y Amirat
Neurocomputing 120, 633-644, 2013
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
Fuel cells static and dynamic characterizations as tools for the estimation of their ageing time
R Onanena, L Oukhellou, D Candusso, F Harel, D Hissel, P Aknin
international journal of hydrogen energy 36 (2), 1730-1739, 2011
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
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
Dedicated sensor and classifier of rail head defects
L Oukhellou, P Aknin, JP Perrin
Control Engineering Practice 7 (1), 57-61, 1999
Paramétrisation et classification de signaux en contrôle non destructif. Application à la reconnaissance des défauts de rails par courants de Foucault
L Oukhellou
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
Recognition of gait cycle phases using wearable sensors
S Mohammed, A Same, L Oukhellou, K Kong, W Huo, Y Amirat
Robotics and Autonomous Systems 75, 50-59, 2016
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
Estimation of fuel cell operating time for predictive maintenance strategies
R Onanena, L Oukhellou, D Candusso, A Same, D Hissel, P Aknin
international journal of hydrogen energy 35 (15), 8022-8029, 2010
Understanding passenger patterns in public transit through smart card and socioeconomic data: A case study in rennes, france
MK El Mahrsi, E Côme, J Baro, L Oukhellou
ACM SIGKDD Workshop on Urban Computing, 9p, 2014
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