Latifa Oukhellou
Publications
Publications
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Discrete Choice Modeling for Modal Disaggregation of Mobile OD Flows: Comparison with Smart Card Data13th Symposium of the European Association for Research in Transportation (hEART), Jun 2025, Munich, Germany |
Identifying Critical Commuters: A Machine Learning Approach to Flexible Work Hours and Urban CongestionThe 104th Transportation Research Board Annual Meeting (TRB 2025), Jan 2025, Washington D. C., United States |
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Population Synthesis with Deep Generative Models -is it worth it? Exploring new models and metrics13th Symposium of the European Association for Research in Transportation, Technische Universität München, Jun 2025, Munich (Germany), Germany |
A benchmarking methodology to assess population synthesis algorithms: A case study for Ile-de-France (France)International Symposium on Transportation Data & Modelling (ISTDM), Sep 2025, Montreal, Canada |
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Multi-modal user equilibrium and system optimum in urban transport systems including shared mobility services103nd Annual Meeting Transportation Research Board (TRB), Jan 2024, Washignton DC, United States |
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Intermodal Traffic Assignment Modeling: Analytical and Simulation-based Approaches12th Symposium of the European Association for Research in Transportation (hEART 2024), Jun 2024, Helsinki (Finland), Finland |
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Use of Origin-Destination data for calibration and spatialization of synthetic travel demandhEART'23. 11th Symposium of the European Association for Research in Transportation, Sep 2023, Zurich (CH), Switzerland |
Developing housing situations archetypes to apprehend the role of the residential context in the construction of domestic energy consumption : A French case-study41st Annual International Energy Workshop (IEW), Jun 2023, Golden (Colorado), United States |
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Deep probabilistic forecasting of count data in multimodal transport systemsSecond Triennial Transportation and Logistics Society Conference (TSL 2023), Transportation and Logistics Society, Jul 2023, Chicago, United States |
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Vision Transformer and Inpainting based Approach for Short-term Forecasting of Passenger Loads on a Transit Metro Line. Focus on Explainability and Atypical Situation prediction102nd Annual Meeting Transportation Research Board, Jan 2023, Washington D.C., United States |
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A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership2023 IEEE International Conference on Data Mining Workshops (ICDMW), Dec 2023, Shanghai, China. pp.1259-1268, ⟨10.1109/ICDMW60847.2023.00163⟩ |
Use of Origin-Destination data in synthetic travel demand synthesis9th International Symposium on Transportation Data Modelling (ISTDM2023), Jun 2023, Ispra, Joint Research Center, Italy |
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Classification et décomposition de séries temporelles pour l'analyse de données thermiques du bâtiment27èmes Rencontres de la Société Francophone de Classification (SFC 2022), Sep 2022, Lyon, France |
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What insights can we draw from our residential energy models?: guidelines for future modelling exercisesThe 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Nov 2022, Boston, United States. ⟨10.1145/3563357.3567833⟩ |
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Mobile phone Origin-Destination Matrix Anonymization and AnalysisCCS 2021 Lyon: Conference on Complex Systems, Oct 2021, Lyon, France |
Dynamic clustering and modeling of temporal data subject to common regressive effectsESANN 2021, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2021, Bruges, Belgium. 6p |
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Representation Learning of public transport data. Application to event detection5th International Workshop and Symposium TransitData 2019, Jul 2019, Paris, France |
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Détection en ligne de multiples changements dans un panel de données catégoriellesSFC 2019, XXVIèmes rencontres de la société francophone de classification, Sep 2019, Nancy, France. 4p |
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Modèle LSTM encodeur-prédicteur pour la prévision court-terme de l'affluence dans les transports collectifsCAP 2019, Conférence sur l'Apprentissage Automatique, Jul 2019, Toulouse, France |
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Visualization tools for spatio-temporal time-series analysis with context awareness: Montreal subway caseTRANSITDATA 2019, 5th International Workshop and Symposium, Jul 2019, Paris, France |
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Forecasting passenger load in a transit network using data driven modelsWCRR 2019, 12th World Congress on Railway Research, Oct 2019, Tokyo, Japan |
Detection of atypical events on a public transport network using smart card dataThe 47th European Transport Conference, Oct 2019, Dublin, Ireland |
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Mélange de chaînes de Markov non-homogènes pour la classification et la prévision des habitudes de consommation issues d'un réseau d'eau intelligentXXVèmes Rencontres de la Société Francophone de Classification, Sep 2018, Paris, France. 4p |
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Traffic Characterization on Airport Surface Using Aircraft Ground TrajectoriesThe 21st IEEE International Conference on Intelligent Transportation Systems, Nov 2018, Maui - Hawaï, United States. pp 3879-3885, ⟨10.1109/ITSC.2018.8569350⟩ |
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Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time SeriesIEEE IJCNN'18, IEEE International Joint Conference on Neural Networks, Jul 2018, Rio de Janeiro, France. 8p |
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Short-Term Multi-Step Ahead Forecasting of Railway Passenger Flows During Special Events With Machine Learning MethodsCASPT 2018, Conference on Advanced Systems in Public Transport and TransitData 2018, Jul 2018, Brisbane, Australia. 15p |
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Prévision du nombre de passagers entrant dans un réseau de transport multimodal en cas d'évènements atypiques, à l'aide de méthodes d'apprentissage automatiqueRFTM 2018, 1ères Rencontres Francophones Transport Mobilité, Jun 2018, Lyon, France. 3p |
Short & long term forecasting of multimodal transport passenger flows with machine learning methods2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Oct 2017, Yokohama, France. pp.560-566, ⟨10.1109/ITSC.2017.8317939⟩ |
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Predictive Classification of Water Consumption Time Series using Non-homogeneous Markov ModelsIEEE DSAA 2017, International Conference on Data Science and Advanced Analytics, Oct 2017, Tokyo, Japan. 8p |
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Processing, mining and visualizing massive urban dataESANN2017, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium. 10p |
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Smart Card clustering to extract typical temporal passenger habits in Transit network. Two case studies: Rennes in France and Gatineau in Canada3rd International Workshop and Symposium: "Research and applications on the use of passive data from public transport", May 2017, Santiago, Chile |
Variations annuelles des comportements des usagers de transport collectif51e congrès de l'association québécoise des transports, Apr 2016, Quebec, Canada. 20p |
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Classification à base de modèle de mélange pour l'identification de profils temporels types d'usagers de transport publicAAFD & SFC'16 - Francophone International Conference on Data Science, May 2016, Marrakech, Maroc. 7p |
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Forecasting Dynamic Public Transport Origin-Destination Matrices with Long-Short Term Memory Recurrent Neural NetworksIEEE 19th International Conference on Intelligent Transportation Systems, Nov 2016, Rio de Janeiro, France. 6p |
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Hourly solar irradiance forecasting based on machine learning modelsICMLA 2016 - IEEE 15th International Conference on Machine Learning and Applications, Dec 2016, Anaheim, United States. 6p |
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The dynamic multifractality in PEMFC stack voltage signal as a tool for the aging monitoringICREGA 2016 - 4th International Conference On Renewable Energy: Generation And Applications, Feb 2016, Belfort, France. 15p |
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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 |
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Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering AlgorithmsICMLA 2015 - IEEE International Conference on Machine Learning and Applications, Dec 2015, MIAMI, United States. 6p |
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A Mixture Model Clustering Approach for Temporal Passenger Pattern Characterization in Public TransportIEEE International Conference on Data Science and Advanced Analytics, Oct 2015, PARIS, France. 10p |
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Multifractal analysis of stack voltage based on wavelet leaders: a new tool for the on-line diagnosis of PEMFCFDFC 2015 - 6th International Conference on Fundamentals and Development Fuel Cell, Feb 2015, TOULOUSE, France. 8 p |
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Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic proportionsESANN 2015 - 23rd European Symposium on Artificial Neural Networks, Apr 2015, BRUGES, Belgium. pp 421-426 |
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Towards Smart City Energy Analytics: Identification of Electric Consumption Patterns Based on Clustering ApproachesCSD&M 2015 - 6th International Conference on Complex Systems Design and Management, Nov 2015, PARIS, France. 12p |
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Fault Diagnosis and Identification of Proton Exchange Membrane Fuell Cell System Using Electrochmical Impedance Spectroscopy ClassificationInternational Conference on Modeling and Simulation of Electric Machines, Converters and Systems, May 2014, Valencia, Spain |
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k-Nearest Neighbours Fault Diagnosis of Proton Exchange Membrane Fuel CellConference Internationale Discussion on Hydrogen Energy and Applications, May 2014, Nantes, France |
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Toward Bicycle Demand Prediction of Large-Scale Bicycle-Sharing SystemTRB 93rd Annual meeting, Jan 2014, France. 16p |
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Understanding Passenger Patterns in Public Transit Through Smart Card and Socioeconomic Data: A case study in Rennes, FranceACM SIGKDD Workshop on Urban Computing, Aug 2014, France. 9p |
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Un nouvel outil de diagnostic non intrusif d'une pile à combustible basé sur la mesure des singularités de la tensionSymposium de Génie Électrique 2014, Jul 2014, Cachan, France |
Fault Diagnosis and Identification of Proton Exchange Membrane Fuel Cell System Using Electrochemical Impedance Spectroscopy ClassificationElectrimacs 2014, May 2014, Spain. pp 646-651 |
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Spatio-temporal Analysis of Dynamic Origin-Destination Data Using Latent Dirichlet Allocation: Application to Vélib' Bike Sharing System of ParisTRB 93rd Annual meeting, Jan 2014, France. 19p |
Analysis and classification of Powered Two Wheelers Riding PatternTRA - Transport Research Arena, Apr 2014, France. 10p |
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k-Nearest Neighbours Fault Diagnosis of Proton Exchange Membrane Fuel CellIDHEA, May 2014, France. 9p |
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Voltage singularity classification for fuel cell diagnosisEFCF 2013 - European Fuel Cell Conference, Dec 2013, Italy. 2 p |
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Clustering the Velib' origin-destinations flows by means of Poisson mixture models22th European Symposium on Artificial Neural Networks (ESANN 2013), Apr 2013, Bruges, Belgium. pp.273-278 |
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Floating Train Data Systems for Preventive Maintenance: A Data Mining ApproachInternational Conference on Industrial Engineering and Systems Management (IESM 2013), Oct 2013, Morocco. 7p |
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Mining floating train data sequences for temporal association rules within a predictive maintenance frameworkIEEE Industrial Conference on Data Mining (ICDM 2013), Dec 2013, France. 15p |
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Online predictive diagnosis of electrical train door systems10th World Congress on Railway Research (WCRR 2013), Nov 2013, Sydney, Australia. 6p |
Riding patterns recognition for Powered two-wheelers users’ behaviors analysisITSC 2013 - 16th International IEEE Conference On Transportation Systems, Oct 2013, France. 7p |
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Modèle de mélange poissonien pour l'analyse de données de déplacements45e Journées de Statistique (JdS 2013), May 2013, Toulouse, France. pp.1-6 |
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Singularity Analysis of Voltage Signals for PEM Fuel Cell Diagnosis5th International Conference on Fundamentals and Development of Fuel Cells (FDFC 2013), Apr 2013, Germany. 7p |
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Using the Belief Functions Theory to Deploy Static Wireless Sensor NetworksThe Belief Functions Conference, May 2012, Compiègne, France |
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Efficient uncertainty-aware deployment algorithms for wireless sensor networksthe IEEE Wireless Communications and Networking Conference (WCNC), Apr 2012, France |
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Fault-diagnosis of PEM fuel cells using electrochemical spectroscopy impedancePower Plant and Power Systems Control symposium, Sep 2012, Toulouse, France |
Uncertainty-Aware Sensor Network Deploymentthe IEEE Global Communications Conference (GLOBECOM),, Houston, Dec 2011, Houston, United States |
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Semi-supervised feature extraction using independent factor analysisICOR, 9th International Conference on Operations Research, Feb 2010, La Havanne, Cuba. 8p |
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Partially-supervised learning in Independent Factor AnalysisEuropean Symposium on Artificial Neural Networks (ESANN), Apr 2009, Bruges, Belgium. pp.53--58 |
Analyse en composantes indépendantes parcimonieuse pour le diagnostic de systèmes répartisXXe colloque GRETSI, 2009, Dijon, France |
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Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault DiagnosisInternational Conference on Artificial Neural Network, Sep 2009, Limassol, Cyprus. pp.416-425 |
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Mixture model estimation with soft labelsFourth International Workshop on Soft Methods in Probabilities and Statistics, Sep 2008, Toulouse, France. pp.165-174 |
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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 |
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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⟩ |
Railway infrastructure system diagnosis using Empirical Mode Decomposition and Hilbert transformIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2006, Toulouse, France. pp.III, ⟨10.1109/ICASSP.2006.1660866⟩ |
Change detection in smart grids using dynamic mixtures of t-distributionsIn: Advances in Condition Monitoring and Structural Health Monitoring, Springer, pp.53-68, 2021, Lectures notes in Mechanical Engineering, 978-981-15-9199-0. ⟨10.1007/978-981-15-9199-0_6⟩ |
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LSTM encoder-predictor for short-term train load forecastingIn: Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M., Robardet, C. (Eds) Machine Learning and Knowledge Discovery in Databases, 11908, SPRINGER, pp.535-551, 2020, Lecture Notes in Computer Science, LNAI |
Projet MOBILLETIC. Données billettiques et analyse des mobilités urbaines : le cas rennaisBIG DATA ET POLITIQUES PUBLIQUES DANS LES TRANSPORTS, 2017 |
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Utilité des données billettiques pour l'analyse des mobilités urbaines: le cas rennais. In : Données urbainesUtilité des données billettiques pour l'analyse des mobilités urbaines: le cas rennais. In : Données urbaines, ECONOMICA, 11p, 2015 |
Detected or undetected, which trips are seen in mobile phone OD data? A case study of the Lyon region (France)2024 |
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Dynamic Modeling of Energy Demand in Educational Institutions Affected by COVID-19 and Energy Crisis2023 |
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Paramétrisation et classification de signaux en contrôle non destructif. Application à la reconnaissance des défauts de rails par courants de FoucaultTraitement du signal et de l'image [eess.SP]. Université Paris Sud - Paris XI, 1997. Français. ⟨NNT : ⟩ |