Number of documents

83

CV Latifa OUKHELLOU


Journal articles34 documents

  • Nicolas Khoury, Ferhat Attal, Yacine Amirat, Latifa Oukhellou, Samer Mohammed. Data-driven based approach to aid Parkinson’s disease diagnosis. Sensors, MDPI, 2019, 19 (2), pp.242. ⟨hal-01969993⟩
  • Ferhat Attal, Abderrahmane Boubezoul, Allou Same, Latifa Oukhellou, Stéphane Espie. Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches. IEEE Transactions on Intelligent Transportation Systems, 2018, 12p. ⟨hal-01889113⟩
  • Etienne Come, Latifa Oukhellou. L'ouverture des données, une opportunité pour la recherche sur les transports et la mobilité. Transports Urbains, 2018, 132, pp.21-27. ⟨hal-01897482⟩
  • Cyprien Richer, Etienne Côme, Mohamed Khalil El mahrsi, Latifa Oukhellou. Intermodal mobility analysis with smart-card data. Spatio-temporal analysis of the bus-metro network of Rennes metropole. Cybergeo : Revue européenne de géographie / European journal of geography, UMR 8504 Géographie-cités, 2018, ⟨10.4000/cybergeo.29132⟩. ⟨halshs-01795850⟩
  • Anne Sarah Briand, Etienne Come, Martin Trepanier, Latifa Oukhellou. Analyzing year-to-year changes in public transport passenger behaviour using smart card data. Transportation research. Part C, Emerging technologies, Elsevier, 2017, 79, pp 274-289. ⟨10.1016/j.trc.2017.03.021⟩. ⟨hal-01569729⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. Multifractal Analysis of Stack Voltage Based on Wavelet Leaders: A New Tool for PEMFC Diagnosis. Fuel Cells, Wiley-VCH Verlag, 2017, 17 (2), pp. 217-224. ⟨10.1002/fuce.201600029⟩. ⟨hal-02074074⟩
  • Hélène Jacquot-Guimbal, Jean-Bernard Kovarik, Latifa Oukhellou, Alain l'Hostis, Guillaume Uster. Réussir les transitions que nous sommes en train de vivre. Point de vue de la directrice de l'Institut Francais des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - Ifsttar. Transports Environnement Circulation, ATEC ITS France, 2017, 2p. ⟨hal-01463074⟩
  • Fateh Nassim Melzi, Allou Same, Mohamed Haykel Zayani, Latifa Oukhellou. A Dedicated Mixture Model for Clustering Smart Meter Data: Identification and Analysis of Electricity Consumption Behaviors. Energies, 2017, 10 (10), 21 p. ⟨10.3390/en10101446⟩. ⟨hal-01592077⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. The dynamic multifractality in PEMFC stack voltage signal as a tool for the aging monitoring. International Journal of Hydrogen Energy, Elsevier, 2016, 6p. ⟨10.1016/j.ijhydene.2016.04.033⟩. ⟨hal-01352103⟩
  • Mustapha Reda Senouci, Abdelhamid Mellouk, Nadjib Aitsaadi, Latifa Oukhellou. Fusion-based Surveillance WSN Deployment using Dempster-Shafer Theory. Journal of network and computer applications, 2016, 64, pp 154-166. ⟨10.1016/j.jnca.2015.12.014⟩. ⟨hal-01351590⟩
  • Mohamed Khalil El Mahrsi, Etienne Come, Latifa Oukhellou, Michel Verleysen. Clustering Smart Card Data for Urban Mobility Analysis. IEEE Transactions on Intelligent Transportation Systems, 2016, 17p. ⟨10.1109/TITS.2016.2600515⟩. ⟨hal-01467221⟩
  • Samer Mohammed, Allou Same, Latifa Oukhellou, Kyoungchul Kong, Weiguang Huo, et al.. Recognition of gait cycle phases using wearable sensors. Robotics and autonomous system, 2016, 75, pp 50-59. ⟨10.1016/j.robot.2014.10.012⟩. ⟨hal-01350732⟩
  • Anne Sarah Briand, Etienne Come, Mohamed Khalil El Mahrsi, Latifa Oukhellou. A Mixture Model Clustering Approach for Temporal Passenger Pattern Characterization in Public Transport. International Journal of Data Science and Analytics, 2016, 1 (1), pp 37-50. ⟨10.1007/s41060-015-0002-x⟩. ⟨hal-01352861⟩
  • Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espie. Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework. IEEE Transactions on Intelligent Transportation Systems, IEEE, 2015, 16 (1), pp 475-487. ⟨10.1109/TITS.2014.2346243⟩. ⟨hal-01216353⟩
  • Mustapha Reda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani. WSNs deployment framework based on the theory of belief functions. Computer Networks, Elsevier, 2015, 88, pp 12-26. ⟨10.1016/j.comnet.2015.05.014⟩. ⟨hal-01471357⟩
  • Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi, Latifa Oukhellou, et al.. Physical Human Activity Recognition Using Wearable Sensors. Sensors, MDPI, 2015, 15 (12), pp.31314-31338. ⟨hal-01352101⟩
  • Pierre-Antoine Laharotte, Romain Billot, Etienne Come, Latifa Oukhellou, Alfredo Nantes, et al.. Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network. IEEE Transactions on Intelligent Transportation Systems, IEEE, 2015, 16 (3), pp 1439-1448. ⟨10.1109/TITS.2014.2367165⟩. ⟨hal-01213936⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. PEMFC stack voltage singularity measurement and fault classification. International Journal of Hydrogen Energy, Elsevier, 2014, 39 (36), pp. 21631-21637. ⟨10.1016/j.ijhydene.2014.09.117⟩. ⟨hal-01431765⟩
  • D Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. Fuel cell diagnosis method based on multifractal analysis of stack voltage signal. International Journal of Hydrogen Energy, Elsevier, 2014, 39 (5), pp 2236-2245. ⟨10.1016/j.ijhydene.2013.11.066⟩. ⟨hal-01049913⟩
  • Andry Randriamanamihaga, Etienne Come, Latifa Oukhellou, Gérard Govaert. Clustering the Vélib' Dynamic Origin/Destination flows using a family of Poisson Mixture Models. Neurocomputing, Elsevier, 2014, 141, pp 128-138. ⟨10.1016/j.neucom.2014.01.050⟩. ⟨hal-01045206⟩
  • Abdelhamid Mellouk, Latifa Oukhellou, Lei Shu, Glenn Shafer. Belief functions and uncertainty management in networks and telecommunication. Annals of Telecommunications - annales des télécommunications, Springer, 2014, 69 (3-4), pp 131-133. ⟨10.1007/s12243-014-0425-8⟩. ⟨hal-01053257⟩
  • Mustapha Reda Senouci, Abdelhamid Mellouk, Mohamed Abdelkrim Senouci, Latifa Oukhellou. Belief functions in telecommunications and network technologies: an overview. Annals of Telecommunications - annales des télécommunications, Springer, 2014, 69 (3-4), pp 135-145. ⟨10.1007/s12243-014-0428-5⟩. ⟨hal-01052672⟩
  • Etienne Come, Latifa Oukhellou. Model-based count series clustering for Bike Sharing System usage mining, a case study with the Velib system of Paris. ACM Transactions on Intelligent Systems and Technology, ACM, 2014, 27p. ⟨hal-01052621⟩
  • Raissa Onanena, Latifa Oukhellou, Etienne Come, Samir Jemei, Denis Candusso, et al.. Fuel Cell Health Monitoring Using Self Organizing Maps. Chemical Engineering Transactions, AIDIC, 2013, pp 1021-1026. ⟨10.3303/CET1333171⟩. ⟨hal-00865214⟩
  • Faicel Chamroukhi, S Mohammed, Latifa Oukhellou, Y Amirat, Dorra Trabelsi. Joint segmentation of multivariate time series with hidden process regression for human activity recognition. Neurocomputing, Elsevier, 2013, 633 (120), pp 633-644. ⟨10.1016/j.neucom.2013.04.003⟩. ⟨hal-00864854⟩
  • Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat. An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression. IEEE Transactions on Automation Science and Engineering, Institute of Electrical and Electronics Engineers, 2013, 3 (10), pp 829-335. ⟨10.1109/TASE.2013.2256349⟩. ⟨hal-00865069⟩
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Analysis and Applications, Springer Verlag, 2012, 15 (3), pp.313-326. ⟨hal-00750589⟩
  • Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin. Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis. Soft Computing, Springer Verlag, 2012, 16 (5), pp.741-754. ⟨hal-00688783⟩
  • Raissa Onanena, Latifa Oukhellou, Denis Candusso, Fabien Harel, Daniel Hissel, et al.. Fuel cells static and dynamic characterizations as tools for the estimation of their ageing time. International Journal of Hydrogen Energy, Elsevier, 2011, 36 (2), pp. 1730-1739. ⟨10.1016/j.ijhydene.2010.10.064⟩. ⟨hal-00985761⟩
  • R. Onanena, Latifa Oukhellou, Denis Candusso, Allou Same, Daniel Hissel, et al.. Estimation of fuel cell operating time for prédictive maintenance strategies. International Journal of Hydrogen Energy, Elsevier, 2010, vol.35 (n.15), pp 8022-9. ⟨10.1016/j.ijhydene.2010.05.039⟩. ⟨hal-00559459⟩
  • Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin. Fault diagnosis in railway track circuits using Dempster–Shafer classifier fusion. Engineering Applications of Artificial Intelligence, Elsevier, 2010, 23 (1), pp.117-128. ⟨10.1016/j.engappai.2009.06.005⟩. ⟨hal-00467941⟩
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Learning from partially supervised data using mixture models and belief functions.. Pattern Recognition, Elsevier, 2009, 42 (3), pp.334-348. ⟨10.1016/j.patcog.2008.07.014⟩. ⟨hal-00446583⟩
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Learning from partially supervised data using mixture models and belief functions. Pattern Recognition, Elsevier, 2009, 42 (3), pp.334-348. ⟨hal-00448376⟩
  • Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin. Mixture-model-based signal denoising. Advances in Data Analysis and Classification, Springer Verlag, 2007, 1 (1), pp.39-51. ⟨hal-00447038⟩

Conference papers46 documents

  • Milad Leyli-Abadi, Allou Same, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, et al.. Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. IEEE IJCNN'18 - IEEE International Joint Conference on Neural Networks, Jul 2018, RIO DE JANEIRO, France. 8p. ⟨hal-01891349⟩
  • Florian Toque, Etienne Come, Latifa Oukhellou, Martin Trepanier. Prévision du nombre de passagers entrant dans un réseau de transport multimodal en cas d'évènements atypiques, à l'aide de méthodes d'apprentissage automatique. RFTM, 1ères Rencontres Francophones Transport Mobilité, Jun 2018, LYON, France. 3p. ⟨hal-01891340⟩
  • Florian Toque, Etienne Come, Latifa Oukhellou, Martin Trepanier. Short-Term Multi-Step Ahead Forecasting of Railway Passenger Flows During Special Events With Machine Learning Methods. CASPT 2018, Conference on Advanced Systems in Public Transport and TransitData 2018, Jul 2018, Brisbane, Australia. 15p. ⟨hal-01891446⟩
  • Milad Leyli-Abadi, Allou Same, Latifa Oukhellou. Mélange de chaînes de Markov non-homogènes pour la classification et la prévision des habitudes de consommation issues d'un réseau d'eau intelligent. XXVèmes Rencontres de la Société Francophone de Classification, Sep 2018, Paris, France. 4p. ⟨hal-01901079⟩
  • Pierre Borgnat, Etienne Come, Latifa Oukhellou. Processing, mining and visualizing massive urban data. ESANN2017, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. 10p. ⟨hal-01570792⟩
  • Anne Sarah Briand, Etienne Come, Martin Trepanier, Latifa Oukhellou. Smart Card clustering to extract typical temporal passenger habits in Transit network. Two case studies: Rennes in France and Gatineau in Canada. 3rd International Workshop and Symposium: "Research and applications on the use of passive data from public transport", May 2017, Santiago, Chile. ⟨hal-01570726⟩
  • Milad Leyli-Abadi, Allou Same, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, et al.. Predictive Classification of Water Consumption Time Series using Non-homogeneous Markov Models. IEEE DSAA 2017, International Conference on Data Science and Advanced Analytics, Oct 2017, Tokyo, Japan. 8p. ⟨hal-01581073⟩
  • Fateh Nassim Melzi, Taieb Touati, Allou Same, Latifa Oukhellou. Hourly solar irradiance forecasting based on machine learning models. ICMLA 2016 - IEEE 15th International Conference on Machine Learning and Applications, Dec 2016, Anaheim, United States. 6p. ⟨hal-01383793⟩
  • Anne Sarah Briand, Etienne Come, Mohamed Khalil El Mahrsi, Latifa Oukhellou. Classification à base de modèle de mélange pour l'identification de profils temporels types d'usagers de transport public. AAFD & SFC'16 - Francophone International Conference on Data Science, May 2016, Marrakech, Maroc. 7p. ⟨hal-01351034⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. The dynamic multifractality in PEMFC stack voltage signal as a tool for the aging monitoring. ICREGA 2016 - 4th International Conference On Renewable Energy: Generation And Applications, Feb 2016, Belfort, France. 15p. ⟨hal-01670683⟩
  • Martin Trepanier, Anne Sarah Briand, Latifa Oukhellou, Etienne Come. Variations annuelles des comportements des usagers de transport collectif. 51e congrès de l'association québécoise des transports, Apr 2016, Quebec, Canada. 20p. ⟨hal-01361063⟩
  • Florian Toque, Etienne Come, Mohamed Khalil El Mahrsi, Latifa Oukhellou. Forecasting Dynamic Public Transport Origin-Destination Matrices with Long-Short Term Memory Recurrent Neural Networks. IEEE 19th International Conference on Intelligent Transportation Systems, Nov 2016, Rio de Janeiro, France. 6p. ⟨hal-01357641⟩
  • Andry Randriamanamihaga, Etienne Come, Latifa Oukhellou. Dynamic Origin/Destination modeling with Gravity-Latent Dirichlet Allocation (G-LDA). TRISTAN IX - 9th Triennial Symposium on Transportation Analysis, Jun 2016, Oranjestad, Aruba, France. 4p. ⟨hal-01350999⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. Multifractal analysis of stack voltage based on wavelet leaders: a new tool for the on-line diagnosis of PEMFC. FDFC 2015 - 6th International Conference on Fundamentals and Development Fuel Cell, Feb 2015, TOULOUSE, France. 8 p. ⟨hal-01349911⟩
  • Anne Sarah Briand, Etienne Come, Mohamed Khalil El Mahrsi, Latifa Oukhellou. A Mixture Model Clustering Approach for Temporal Passenger Pattern Characterization in Public Transport. IEEE International Conference on Data Science and Advanced Analytics, Oct 2015, PARIS, France. 10p. ⟨hal-01215386⟩
  • Fateh Nassim Melzi, Mohamed Haykel Zayani, Amira Benhamida, François Stephan, Allou Same, et al.. Towards Smart City Energy Analytics: Identification of Electric Consumption Patterns Based on Clustering Approaches. CSD&M 2015 - 6th International Conference on Complex Systems Design and Management, Nov 2015, PARIS, France. 12p. ⟨hal-01212957⟩
  • Fateh Nassim Melzi, Mohamed Haykel Zayani, Amira Ben Hamida, Allou Same, Latifa Oukhellou. Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. ICMLA 2015 - IEEE International Conference on Machine Learning and Applications, Dec 2015, MIAMI, United States. 6p. ⟨hal-01215017⟩
  • Ferhat Attal, Abderrahmane Boubezoul, Allou Same, Latifa Oukhellou. Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic proportions. ESANN 2015 - 23rd European Symposium on Artificial Neural Networks, Apr 2015, BRUGES, Belgium. pp 421-426. ⟨hal-01215028⟩
  • Elodie Pahon, Samir Jemei, Fabien Harel, Rosa Elvira Silva, Latifa Oukhellou, et al.. k-Nearest Neighbours Fault Diagnosis of Proton Exchange Membrane Fuel Cell. IDHEA, May 2014, France. 9p. ⟨hal-01053717⟩
  • Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espie. Analysis and classification of Powered Two Wheelers Riding Pattern. TRA - Transport Research Arena, Apr 2014, France. 10p. ⟨hal-01053042⟩
  • Fateh Nassim Melzi, Mohamed Haykel Zayani, Amira Ben Hamida, François Stephan, Allou Same, et al.. Towards Smart City Energy Analytics: Identification of Electric Consumption Patterns Based on Clustering Approaches. CSD&M 2014 - 5th International conference on Complex Systems Design and Management, Nov 2014, PARIS, France. 12p. ⟨hal-01217400⟩
  • Elodie Pahon, Latifa Oukhellou, Fabien Harel, S Jemei, D Hissel. Fault Diagnosis and Identification of Proton Exchange Membrane Fuel Cell System Using Electrochemical Impedance Spectroscopy Classification. Electrimacs 2014, May 2014, Spain. pp 646-651. ⟨hal-01053687⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. Un nouvel outil de diagnostic non intrusif d'une pile à combustible basé sur la mesure des singularités de la tension. SGE'14 - Symposium de Génie Electrique, Jul 2014, CACHAN, France. 6p. ⟨hal-01213849⟩
  • Etienne Come, Njato Andry Randriamanamihaga, Latifa Oukhellou, Patrice Aknin. Spatio-temporal Analysis of Dynamic Origin-Destination Data Using Latent Dirichlet Allocation: Application to Vélib' Bike Sharing System of Paris. TRB 93rd Annual meeting, Jan 2014, France. 19p. ⟨hal-01052951⟩
  • Mohamed Khalil El Mahrsi, Etienne Come, Johanna Baro, Latifa Oukhellou. Understanding Passenger Patterns in Public Transit Through Smart Card and Socioeconomic Data: A case study in Rennes, France. ACM SIGKDD Workshop on Urban Computing, Aug 2014, France. 9p. ⟨hal-01053794⟩
  • Yufei Han, Etienne Come, Latifa Oukhellou. Toward Bicycle Demand Prediction of Large-Scale Bicycle-Sharing System. TRB 93rd Annual meeting, Jan 2014, France. 16p. ⟨hal-01053016⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. Un nouvel outil de diagnostic non intrusif d'une pile à combustible basé sur la mesure des singularités de la tension. Symposium de Génie Électrique 2014, Jul 2014, Cachan, France. ⟨hal-01065407⟩
  • Andry Randriamanamihaga, Etienne Come, Latifa Oukhellou, Gérard Govaert. Modèle de mélange poissonien pour l'analyse de données de déplacements. 45e Journées de Statistique (JdS 2013), May 2013, Toulouse, France. pp.1-6. ⟨hal-00863526⟩
  • Wissam Sammouri, Etienne Come, Latifa Oukhellou, Patrice Aknin, Charles Eric Fonlladosa. Floating Train Data Systems for Preventive Maintenance: A Data Mining Approach. International Conference on Industrial Engineering and Systems Management (IESM 2013), Oct 2013, Morocco. 7p. ⟨hal-00914313⟩
  • Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espie. Riding patterns recognition for Powered two-wheelers users’ behaviors analysis. ITSC 2013 - 16th International IEEE Conference On Transportation Systems, Oct 2013, France. 7p. ⟨hal-00865030⟩
  • Yufei Han, Olivier Francois, Allou Same, Laurent Bouillaut, Latifa Oukhellou, et al.. Online predictive diagnosis of electrical train door systems. 10th World Congress on Railway Research (WCRR 2013), Nov 2013, Australia. 6p. ⟨hal-00863798⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. Singularity Analysis of Voltage Signals for PEM Fuel Cell Diagnosis. 5th International Conference on Fundamentals and Development of Fuel Cells (FDFC 2013), Apr 2013, Germany. 7p. ⟨hal-00863881⟩
  • Djedjiga Benouioua, Denis Candusso, Fabien Harel, Latifa Oukhellou. Voltage singularity classification for fuel cell diagnosis. EFCF 2013 - European Fuel Cell Conference, Dec 2013, Italy. 2 p. ⟨hal-00918936⟩
  • Andry Randriamanamihaga, Etienne Come, Latifa Oukhellou, Gérard Govaert. Clustering the Velib' origin-destinations flows by means of Poisson mixture models. 22th European Symposium on Artificial Neural Networks (ESANN 2013), Apr 2013, Bruges, Belgium. pp.273-278. ⟨hal-00863151⟩
  • Wissam Sammouri, Etienne Come, Latifa Oukhellou, Patrice Aknin. Mining floating train data sequences for temporal association rules within a predictive maintenance framework. IEEE Industrial Conference on Data Mining (ICDM 2013), Dec 2013, France. 15p. ⟨hal-00881595⟩
  • M. Senouci, Abdelhamid Mellouk, Latifa Oukhellou, A. Aissani. Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks". The Belief Functions Conference, May 2012, Compiègne, France. ⟨hal-00923106⟩
  • M.R Senouci, Abdelhamid Mellouk, Latifa Oukhellou, A. Aissani. "Efficient uncertainty-aware deployment algorithms for wireless sensor networks". the IEEE Wireless Communications and Networking Conference (WCNC), Apr 2012, France. ⟨hal-00923264⟩
  • M. Senouci, Abdelhamid Mellouk, Latifa Oukhellou, A. Aissani. "Uncertainty-Aware Sensor Network Deployment. the IEEE Global Communications Conference (GLOBECOM),, Houston, Dec 2011, Houston, United States. ⟨hal-00923285⟩
  • Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux. Semi-supervised feature extraction using independent factor analysis. ICOR, 9th International Conference on Operations Research, Feb 2010, La Havanne, Cuba. 8p. ⟨hal-00615209⟩
  • Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux. Noiseless Independent Factor Analysis with mixing constraints in a semi-supervised framework. Application to railway device fault diagnosis.. International Conference on Artificial Neural Networks (ICANN),, Sep 2009, Limassol, Cyprus. pp.416-425, ⟨10.1007/978-3-642-04277-5_42⟩. ⟨hal-00446628⟩
  • Zohra-Leïla Cherfi, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux. Analyse en composantes indépendantes parcimonieuse pour le diagnostic de systèmes répartis. XXe colloque GRETSI, 2009, Dijon, France. ⟨hal-00450986⟩
  • Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux. Partially-supervised learning in Independent Factor Analysis. European Symposium on Artificial Neural Networks (ESANN), Apr 2009, Bruges, Belgium. pp.53--58. ⟨hal-00446716⟩
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. International Conference on Artificial Neural Network, Sep 2009, Limassol, Cyprus. pp.416-425. ⟨hal-00461363⟩
  • Etienne Côme, Cherfi Zohra, Latifa Oukhellou, Patrice Aknin. Semi-supervised IFA with prior knowledge on the mixing process. An application to a railway device diagnosis.. International Conference on Machine Learning and Application, Dec 2008, san-diego, United States. pp.415 - 420. ⟨hal-00461359⟩
  • Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin. Mixture model estimation with soft labels. Fourth International Workshop on Soft Methods in Probabilities and Statistics, Sep 2008, Toulouse, France. pp.165-174. ⟨hal-00446806⟩
  • Latifa Oukhellou, Patrice Aknin, Eric Deléchelle. Railway infrastructure system diagnosis using Empirical Mode Decomposition and Hilbert transform. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2006, Toulouse, France. pp.III, ⟨10.1109/ICASSP.2006.1660866⟩. ⟨hal-00665551⟩

Book sections2 documents

  • Anne-Sarah Briand, Etienne Come, Nicolas Coulombel, Mohamed Khalil El Mahrsi, Emmanuel Munch, et al.. Projet MOBILLETIC. Données billettiques et analyse des mobilités urbaines : le cas rennais . BIG DATA ET POLITIQUES PUBLIQUES DANS LES TRANSPORTS, 2017. ⟨hal-01612406⟩
  • Mohamed Khalil El Mahrsi, Anne Sarah Briand, Etienne Come, Latifa Oukhellou. Utilité des données billettiques pour l'analyse des mobilités urbaines: le cas rennais. In : Données urbaines. Utilité des données billettiques pour l'analyse des mobilités urbaines: le cas rennais. In : Données urbaines, ECONOMICA, 11p, 2015. ⟨hal-01217856⟩

Theses1 document

  • Latifa Oukhellou. Paramétrisation et classification de signaux en contrôle non destructif. Application à la reconnaissance des défauts de rails par courants de Foucault. Traitement du signal et de l'image [eess.SP]. Université Paris Sud - Paris XI, 1997. Français. ⟨tel-00006600⟩