Latifa Oukhellou
Latifa Oukhellou
Directrice de Recherche. Gustave Eiffel University
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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
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
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
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
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
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
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
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
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
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
Data-driven based approach to aid Parkinson’s disease diagnosis
N Khoury, F Attal, Y Amirat, L Oukhellou, S Mohammed
Sensors 19 (2), 242, 2019
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
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
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
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
Paramétrisation et classification de signaux en contrôle non destructif. Application à la reconnaissance des défauts de rails par courants de Foucault
L Oukhellou
Université Paris Sud-Paris XI, 1997
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
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
A dedicated mixture model for clustering smart meter data: identification and analysis of electricity consumption behaviors
FN Melzi, A Same, MH Zayani, L Oukhellou
Energies 10 (10), 1446, 2017
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