Latifa Oukhellou

90 papers A* 1B 14C 5Journal 45Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Federated dynamic modeling and learning for spatiotemporal data forecasting. Neurocomputing Thien Pham, Angelo Furno, Faïcel Chamroukhi, Latifa Oukhellou
2026	J	`jnl`	Improving the spatial distribution of secondary activities in synthetic populations through guidance forces. Comput. Environ. Urban Syst. Pierre-Adrien Langrognet, Etienne Côme, Sebastian Hörl, Latifa Oukhellou
2025	J	`jnl`	Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting. CoRR Thien Pham, Angelo Furno, Faïcel Chamroukhi, Latifa Oukhellou
2025	J	`jnl`	Model-based clustering and alignment of water quality curves with prior knowledge integration using hidden Markov random fields. Expert Syst. Appl. Paul Riverain, Pierre Mandel, Allou Samé, Latifa Oukhellou, Karine Delabre, Alexandre Fleury
2025	J	`jnl`	Real-Time LSTM-Driven Dynamic Gait Mode Detection for Enhanced Control of Actuated Ankle-Foot Orthosis. IEEE Trans. Robotics Huiseok Moon, Oussama Bey, Abderrahmane Boubezoul, Latifa Oukhellou, Samer Mohammed
2024	J	`jnl`	A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. CoRR Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
2024	J	`jnl`	Deep Probabilistic Forecasting of Multivariate Count Data With "Sums and Shares" Distributions: A Case Study on Pedestrian Counts in a Multimodal Transport Hub. IEEE Trans. Intell. Transp. Syst. Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia
2024	J	`jnl`	Multivariate count time series segmentation with "sums and shares" and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub. Adv. Data Anal. Classif. Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia
2024	—	`ed.`	Proceedings of the 2nd ACM SIGSPATIAL Workshop on Sustainable Urban Mobility, SUMob 2024, Atlanta, GA, USA, 29 October 2024- 1 November 2024 SUMob@SIGSPATIAL Stephan Winter, Monika Sester, Latifa Oukhellou
2024	J	`jnl`	The 2nd ACM SIGSPATIAL Workshop on Sustainable Urban Mobility. ACM SIGSPATIAL Special Monika Sester, Stephan Winter, Latifa Oukhellou
2023	—	`conf`	A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. ICDM (Workshops) Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
2023	J	`jnl`	A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving. IEEE Trans. Intell. Veh. Jing Yang, Qinghua Ni, Guiyang Luo, Qi Cheng, Latifa Oukhellou, Shuangshuang Han
2023	J	`jnl`	Powered Two-Wheelers Right-Hand Curve Negotiation Study Using Segmentation and Data Mining Approaches. IEEE Trans. Intell. Transp. Syst. Mohamed Diop, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espié, Samir Bouaziz
2022	J	`jnl`	Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Comput. Appl. Kevin Pasini, Mostepha Khouadjia, Allou Samé, Martin Trépanier, Latifa Oukhellou
2022	J	`jnl`	Dynamic clustering and modeling of temporal data subject to common regressive effects. Neurocomputing Louise Bonfils, Allou Samé, Latifa Oukhellou
2022	—	`conf`	Online Human Intention Detection through Machine-learning based Algorithm for the Control of Lower-limbs Wearable Robot. Humanoids Huiseok Moon, Abderrahmane Boubezoul, Latifa Oukhellou, Yacine Amirat, Samer Mohammed
2022	—	`conf`	What insights can we draw from our residential energy models?: guidelines for future modelling exercises. BuildSys Matthias Heinrich, Marie Ruellan, Jean-Pierre Lévy, Allou Samé, Latifa Oukhellou
2021	B	`conf`	A Lightweight Approach for Origin-Destination Matrix Anonymization. ESANN Benoit Matet, Etienne Côme, Angelo Furno, Loïc Bonnetain, Latifa Oukhellou, Nour-Eddin El Faouzi
2021	B	`conf`	Dynamic clustering and modeling of temporal data subject to common regressive effects. ESANN Louise Bonfils, Allou Samé, Latifa Oukhellou
2021	J	`jnl`	Image Inpainting and Deep Learning to Forecast Short-Term Train Loads. IEEE Access Thomas Bapaume, Etienne Côme, Jérémy Roos, Mostafa Ameli, Latifa Oukhellou
2021	B	`conf`	Machine learning and data mining for urban mobility intelligence. ESANN Etienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun
2021	J	`jnl`	Online common change-point detection in a set of nonstationary categorical time series. Neurocomputing Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Véronique Heim
2020	J	`jnl`	Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data. CoRR Florian Toqué, Etienne Côme, Martin Trépanier, Latifa Oukhellou
2020	J	`jnl`	Powered Two-Wheeler Riding Profile Clustering for an In-Depth Study of Bend-Taking Practices. Sensors Mohamed Diop, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espié
2020	—	`conf`	Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network. ITSC Milad Leyli-Abadi, Abderrahmane Boubezoul, Latifa Oukhellou
2019	J	`jnl`	Data-Driven Based Approach to Aid Parkinson's Disease Diagnosis. Sensors Nicolas Khoury, Ferhat Attal, Yacine Amirat, Latifa Oukhellou, Samer Mohammed
2019	—	`conf`	LSTM Encoder-Predictor for Short-Term Train Load Forecasting. ECML/PKDD (3) Kevin Pasini, Mostepha Khouadjia, Allou Samé, Fabrice Ganansia, Latifa Oukhellou
2019	J	`jnl`	Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. ACM Trans. Intell. Syst. Technol. Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2018	J	`jnl`	Automatic Segmentation of Stabilometric Signals Using Hidden Markov Model Regression. IEEE Trans Autom. Sci. Eng. Khaled Safi, Samer Mohammed, Ferhat Attal, Yacine Amirat, Latifa Oukhellou, Mohamad Khalil, Jean-Michel Gracies, Emilie Hutin
2018	B	`conf`	Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. IJCNN Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2018	J	`jnl`	Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches. IEEE Trans. Intell. Transp. Syst. Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou, Stéphane Espié
2018	—	`conf`	Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories. ITSC Mohamed Khalil El Mahrsi, Cindie Andrieu, Etienne Côme, Zakaria Bezza, Latifa Oukhellou, Fabrice Rossi
2017	J	`jnl`	Clustering Smart Card Data for Urban Mobility Analysis. IEEE Trans. Intell. Transp. Syst. Mohamed Khalil El Mahrsi, Etienne Côme, Latifa Oukhellou, Michel Verleysen
2017	B	`conf`	Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. DSAA Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
2017	B	`conf`	Processing, mining and visualizing massive urban data. ESANN Pierre Borgnat, Etienne Côme, Latifa Oukhellou
2017	—	`conf`	Short & long term forecasting of multimodal transport passenger flows with machine learning methods. ITSC Florian Toqué, Mostepha Khouadjia, Etienne Côme, Martin Trépanier, Latifa Oukhellou
2016	J	`jnl`	A mixture model clustering approach for temporal passenger pattern characterization in public transport. Int. J. Data Sci. Anal. Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
2016	—	`conf`	Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks. ITSC Florian Toqué, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
2016	J	`jnl`	Fusion-based surveillance WSN deployment using Dempster-Shafer theory. J. Netw. Comput. Appl. Mustapha Réda Senouci, Abdelhamid Mellouk, Nadjib Aitsaadi, Latifa Oukhellou
2016	C	`conf`	Hourly Solar Irradiance Forecasting Based on Machine Learning Models. ICMLA Fateh Nassim Melzi, Taieb Touati, Allou Samé, Latifa Oukhellou
2016	J	`jnl`	Recognition of gait cycle phases using wearable sensors. Robotics Auton. Syst. Samer Mohammed, Allou Samé, Latifa Oukhellou, Kyoungchul Kong, Weiguang Huo, Yacine Amirat
2015	B	`conf`	A mixture model clustering approach for temporal passenger pattern characterization in public transport. DSAA Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
2015	C	`conf`	Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. ICMLA Feteh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, Allou Samé, Latifa Oukhellou
2015	J	`jnl`	Physical Human Activity Recognition Using Wearable Sensors. Sensors Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
2015	J	`jnl`	Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework. IEEE Trans. Intell. Transp. Syst. Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espié
2015	B	`conf`	Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions. ESANN Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou
2015	J	`jnl`	Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network. IEEE Trans. Intell. Transp. Syst. Pierre-Antoine Laharotte, Romain Billot, Etienne Côme, Latifa Oukhellou, Alfredo Nantes, Nour-Eddin El Faouzi
2015	—	`conf`	Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves. CSDM Fateh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, François Stephan, Allou Samé, Latifa Oukhellou
2015	J	`jnl`	WSNs deployment framework based on the theory of belief functions. Comput. Networks Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
2014	J	`jnl`	Belief functions and uncertainty management in networks and telecommunication. Ann. des Télécommunications Abdelhamid Mellouk, Latifa Oukhellou, Lei Shu, Glenn Shafer
2014	J	`jnl`	Belief functions in telecommunications and network technologies: an overview. Ann. des Télécommunications Mustapha Réda Senouci, Abdelhamid Mellouk, Mohamed Abdelkrim Senouci, Latifa Oukhellou
2014	J	`jnl`	Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. Neurocomputing Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert
2014	J	`jnl`	Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris. ACM Trans. Intell. Syst. Technol. Etienne Côme, Latifa Oukhellou
2014	—	`conf`	Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework. ITSC Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa
2014	—	`conf`	The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts. ITSC Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Nicolas Cheifetz, Stéphane Espié
2013	J	`jnl`	An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression. IEEE Trans Autom. Sci. Eng. Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
2013	J	`jnl`	An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression. CoRR Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
2013	B	`conf`	Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. ESANN Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert
2013	J	`jnl`	Joint segmentation of multivariate time series with hidden process regression for human activity recognition. CoRR Faicel Chamroukhi, Samer Mohammed, Dorra Trabelsi, Latifa Oukhellou, Yacine Amirat
2013	J	`jnl`	Joint segmentation of multivariate time series with hidden process regression for human activity recognition. Neurocomputing Faicel Chamroukhi, Samer Mohammed, Dorra Trabelsi, Latifa Oukhellou, Yacine Amirat
2013	A*	`conf`	Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. ICDM Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin
2013	—	`conf`	Riding patterns recognition for Powered two-wheelers users' behaviors analysis. ITSC Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espié
2013	J	`jnl`	Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time. CoRR Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel
2012	B	`conf`	Activity recognition using body mounted sensors: An unsupervised learning based approach. IJCNN Dorra Trabelsi, Samer Mohammed, Yacine Amirat, Latifa Oukhellou
2012	J	`jnl`	An Evidence-Based Sensor Coverage Model. IEEE Commun. Lett. Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
2012	—	`conf`	Automatic inference of map attributes from mobile data. ITSC Aude Hofleitner, Etienne Côme, Latifa Oukhellou, Jean-Patrick Lebacque, Alexandre M. Bayen
2012	B	`conf`	Efficient uncertainty-aware deployment algorithms for wireless sensor networks. WCNC Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
2012	J	`jnl`	Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Anal. Appl. Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2012	J	`jnl`	Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis. Soft Comput. Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin
2012	B	`conf`	Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors. ESANN Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
2012	—	`conf`	Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework. ITSC Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa, Kevin Prendergast
2012	—	`conf`	Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks. Belief Functions Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
2011	—	`conf`	Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux
2011	B	`conf`	Uncertainty-Aware Sensor Network Deployment. GLOBECOM Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
2011	—	`conf`	Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device. NL-MUA Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin
2010	J	`jnl`	Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Eng. Appl. Artif. Intell. Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin
2009	C	`conf`	Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. ICMLA Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel
2009	J	`jnl`	Learning from partially supervised data using mixture models and belief functions. Pattern Recognit. Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2009	—	`conf`	Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. ICANN (2) Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2009	B	`conf`	Partially-supervised learning in Independent Factor Analysis. ESANN Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux
2009	—	`conf`	Railway device diagnosis using sparse Independent Component Analysis. EUSIPCO Zohra Leila Cherfi, Etienne Côme, Latifa Oukhellou, Patrice Aknin
2008	—	`conf`	Mixture Model Estimation with Soft Labels. SMPS Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2008	C	`conf`	Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis. ICMLA Etienne Côme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin
2007	J	`jnl`	Mixture-model-based signal denoising. Adv. Data Anal. Classif. Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin
2006	C	`conf`	Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system. FUSION Alexandra Debiolles, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
2006	—	`conf`	Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform. ICASSP (3) Latifa Oukhellou, Patrice Aknin, Éric Deléchelle
2004	—	`conf`	Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks. ICPR (4) Alexandra Debiolles, Latifa Oukhellou, Patrice Aknin
2001	—	`conf`	Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. IWANN (1) Françoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet
1999	J	`jnl`	Hybrid training of radial basis function networks in a partitioning context of classification. Neurocomputing Latifa Oukhellou, Patrice Aknin
1998	—	`conf`	A new decision criterion for feature selection application to the classification of non destructive testing signatures. EUSIPCO Latifa Oukhellou, Patrice Aknin, Hervé Stoppiglia, Gérard Dreyfus