Latifa Oukhellou

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 33

Top Topics

Clustering Algorithm

Public Transport

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. CoRR (2024)
Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, Yasmine Merad-Boudia
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. 18 (2) (2024)
Jing Yang, Qinghua Ni, Guiyang Luo, Qi Cheng, Latifa Oukhellou, Shuangshuang Han
A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving. IEEE Trans. Intell. Veh. 8 (12) (2023)
Mohamed Diop, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espié, Samir Bouaziz
Powered Two-Wheelers Right-Hand Curve Negotiation Study Using Segmentation and Data Mining Approaches. IEEE Trans. Intell. Transp. Syst. 24 (3) (2023)
Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. ICDM (Workshops) (2023)
Huiseok Moon, Abderrahmane Boubezoul, Latifa Oukhellou, Yacine Amirat, Samer Mohammed
Online Human Intention Detection through Machine-learning based Algorithm for the Control of Lower-limbs Wearable Robot. Humanoids (2022)
Kévin Pasini, Mostepha Khouadjia, Allou Samé, Martin Trépanier, Latifa Oukhellou
Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Comput. Appl. 34 (2) (2022)
Louise Bonfils, Allou Samé, Latifa Oukhellou
Dynamic clustering and modeling of temporal data subject to common regressive effects. Neurocomputing 500 (2022)
Matthias Heinrich, Marie Ruellan, Jean-Pierre Lévy, Allou Samé, Latifa Oukhellou
What insights can we draw from our residential energy models?: guidelines for future modelling exercises. BuildSys@SenSys (2022)
Benoit Matet, Etienne Côme, Angelo Furno, Loïc Bonnetain, Latifa Oukhellou, Nour-Eddin El Faouzi
A Lightweight Approach for Origin-Destination Matrix Anonymization. ESANN (2021)
Thomas Bapaume, Etienne Côme, Jérémy Roos, Mostafa Ameli, Latifa Oukhellou
Image Inpainting and Deep Learning to Forecast Short-Term Train Loads. IEEE Access 9 (2021)
Louise Bonfils, Allou Samé, Latifa Oukhellou
Dynamic clustering and modeling of temporal data subject to common regressive effects. ESANN (2021)
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Véronique Heim
Online common change-point detection in a set of nonstationary categorical time series. Neurocomputing 439 (2021)
Etienne Côme, Latifa Oukhellou, Allou Samé, Lijun Sun
Machine learning and data mining for urban mobility intelligence. ESANN (2021)
Florian Toqué, Etienne Côme, Martin Trépanier, Latifa Oukhellou
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data. CoRR (2020)
Mohamed Diop, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espié
Powered Two-Wheeler Riding Profile Clustering for an In-Depth Study of Bend-Taking Practices. Sensors 20 (22) (2020)
Milad Leyli-Abadi, Abderrahmane Boubezoul, Latifa Oukhellou
Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network. ITSC (2020)
Kévin Pasini, Mostepha Khouadjia, Allou Samé, Fabrice Ganansia, Latifa Oukhellou
LSTM Encoder-Predictor for Short-Term Train Load Forecasting. ECML/PKDD (3) (2019)
Nicolas Khoury, Ferhat Attal, Yacine Amirat, Latifa Oukhellou, Samer Mohammed
Data-Driven Based Approach to Aid Parkinson's Disease Diagnosis. Sensors 19 (2) (2019)
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. ACM Trans. Intell. Syst. Technol. 10 (6) (2019)
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. IJCNN (2018)
Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou, Stéphane Espié
Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches. IEEE Trans. Intell. Transp. Syst. 19 (12) (2018)
Khaled Safi, Samer Mohammed, Ferhat Attal, Yacine Amirat, Latifa Oukhellou, Mohamad Khalil, Jean-Michel Gracies, Emilie Hutin
Automatic Segmentation of Stabilometric Signals Using Hidden Markov Model Regression. IEEE Trans Autom. Sci. Eng. 15 (2) (2018)
Mohamed Khalil El Mahrsi, Cindie Andrieu, Etienne Côme, Zakaria Bezza, Latifa Oukhellou, Fabrice Rossi
Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories. ITSC (2018)
Milad Leyli-Abadi, Allou Samé, Latifa Oukhellou, Nicolas Cheifetz, Pierre Mandel, Cédric Féliers, Olivier Chesneau
Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. DSAA (2017)
Pierre Borgnat, Etienne Côme, Latifa Oukhellou
Processing, mining and visualizing massive urban data. ESANN (2017)
Mohamed Khalil El Mahrsi, Etienne Côme, Latifa Oukhellou, Michel Verleysen
Clustering Smart Card Data for Urban Mobility Analysis. IEEE Trans. Intell. Transp. Syst. 18 (3) (2017)
Florian Toqué, Mostepha Khouadjia, Etienne Côme, Martin Trépanier, Latifa Oukhellou
Short & long term forecasting of multimodal transport passenger flows with machine learning methods. ITSC (2017)
Florian Toqué, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks. ITSC (2016)
Samer Mohammed, Allou Samé, Latifa Oukhellou, Kyoungchul Kong, Weiguang Huo, Yacine Amirat
Recognition of gait cycle phases using wearable sensors. Robotics Auton. Syst. 75 (2016)
Mustapha Réda Senouci, Abdelhamid Mellouk, Nadjib Aitsaadi, Latifa Oukhellou
Fusion-based surveillance WSN deployment using Dempster-Shafer theory. J. Netw. Comput. Appl. 64 (2016)
Fateh Nassim Melzi, Taieb Touati, Allou Samé, Latifa Oukhellou
Hourly Solar Irradiance Forecasting Based on Machine Learning Models. ICMLA (2016)
Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
A mixture model clustering approach for temporal passenger pattern characterization in public transport. Int. J. Data Sci. Anal. 1 (1) (2016)
Feteh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, Allou Samé, Latifa Oukhellou
Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. ICMLA (2015)
Ferhat Attal, Abderrahmane Boubezoul, Allou Samé, Latifa Oukhellou
Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions. ESANN (2015)
Anne-Sarah Briand, Etienne Côme, Mohamed Khalil El Mahrsi, Latifa Oukhellou
A mixture model clustering approach for temporal passenger pattern characterization in public transport. DSAA (2015)
Pierre-Antoine Laharotte, Romain Billot, Etienne Côme, Latifa Oukhellou, Alfredo Nantes, Nour-Eddin El Faouzi
Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network. IEEE Trans. Intell. Transp. Syst. 16 (3) (2015)
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
Physical Human Activity Recognition Using Wearable Sensors. Sensors 15 (12) (2015)
Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
WSNs deployment framework based on the theory of belief functions. Comput. Networks 88 (2015)
Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espié
Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework. IEEE Trans. Intell. Transp. Syst. 16 (1) (2015)
Fateh Nassim Melzi, Mohamed-Haykel Zayani, Amira Ben Hamida, François Stephan, Allou Samé, Latifa Oukhellou
Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves. CSDM (2015)
Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert
Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. Neurocomputing 141 (2014)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa
Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework. ITSC (2014)
Mustapha Réda Senouci, Abdelhamid Mellouk, Mohamed Abdelkrim Senouci, Latifa Oukhellou
Belief functions in telecommunications and network technologies: an overview. Ann. des Télécommunications 69 (3-4) (2014)
Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Nicolas Cheifetz, Stéphane Espié
The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts. ITSC (2014)
Etienne Côme, Latifa Oukhellou
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. 5 (3) (2014)
Abdelhamid Mellouk, Latifa Oukhellou, Lei Shu, Glenn Shafer
Belief functions and uncertainty management in networks and telecommunication. Ann. des Télécommunications 69 (3-4) (2014)
Faicel Chamroukhi, Samer Mohammed, Dorra Trabelsi, Latifa Oukhellou, Yacine Amirat
Joint segmentation of multivariate time series with hidden process regression for human activity recognition. Neurocomputing 120 (2013)
Ferhat Attal, Abderrahmane Boubezoul, Latifa Oukhellou, Stéphane Espié
Riding patterns recognition for Powered two-wheelers users' behaviors analysis. ITSC (2013)
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression. IEEE Trans Autom. Sci. Eng. 10 (3) (2013)
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression. CoRR (2013)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin
Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. ICDM (2013)
Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time. CoRR (2013)
Faicel Chamroukhi, Samer Mohammed, Dorra Trabelsi, Latifa Oukhellou, Yacine Amirat
Joint segmentation of multivariate time series with hidden process regression for human activity recognition. CoRR (2013)
Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert
Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. ESANN (2013)
Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
An Evidence-Based Sensor Coverage Model. IEEE Commun. Lett. 16 (9) (2012)
Wissam Sammouri, Etienne Côme, Latifa Oukhellou, Patrice Aknin, Charles-Eric Fonlladosa, Kevin Prendergast
Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework. ITSC (2012)
Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks. Belief Functions (2012)
Dorra Trabelsi, Samer Mohammed, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat
Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors. ESANN (2012)
Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
Efficient uncertainty-aware deployment algorithms for wireless sensor networks. WCNC (2012)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. Pattern Anal. Appl. 15 (3) (2012)
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 Comput. 16 (5) (2012)
Aude Hofleitner, Etienne Côme, Latifa Oukhellou, Jean-Patrick Lebacque, Alexandre M. Bayen
Automatic inference of map attributes from mobile data. ITSC (2012)
Dorra Trabelsi, Samer Mohammed, Yacine Amirat, Latifa Oukhellou
Activity recognition using body mounted sensors: An unsupervised learning based approach. IJCNN (2012)
Zohra Leila Cherfi, Latifa Oukhellou, Etienne Côme, Thierry Denoeux, Patrice Aknin
Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device. NL-MUA (2011)
Latifa Oukhellou, Etienne Côme, Patrice Aknin, Thierry Denoeux
Semi-supervised Feature Extraction Using Independent Factor Analysis. ICMLA (2) (2011)
Mustapha Réda Senouci, Abdelhamid Mellouk, Latifa Oukhellou, Amar Aissani
Uncertainty-Aware Sensor Network Deployment. GLOBECOM (2011)
Latifa Oukhellou, Alexandra Debiolles, Thierry Denoeux, Patrice Aknin
Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. Eng. Appl. Artif. Intell. 23 (1) (2010)
Etienne Côme, Latifa Oukhellou, Patrice Aknin, Thierry Denoeux
Partially-supervised learning in Independent Factor Analysis. ESANN (2009)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Learning from partially supervised data using mixture models and belief functions. Pattern Recognit. 42 (3) (2009)
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. ICANN (2) (2009)
Zohra Leila Cherfi, Etienne Côme, Latifa Oukhellou, Patrice Aknin
Railway device diagnosis using sparse Independent Component Analysis. EUSIPCO (2009)
Raissa Onanena, Faicel Chamroukhi, Latifa Oukhellou, Denis Candusso, Patrice Aknin, Daniel Hissel
Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. ICMLA (2009)
Etienne Côme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin
Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis. ICMLA (2008)
Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Mixture Model Estimation with Soft Labels. SMPS (2008)
Allou Samé, Latifa Oukhellou, Etienne Côme, Patrice Aknin
Mixture-model-based signal denoising. Adv. Data Anal. Classif. 1 (1) (2007)
Alexandra Debiolles, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin
Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system. FUSION (2006)
Latifa Oukhellou, Patrice Aknin, Éric Deléchelle
Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform. ICASSP (3) (2006)
Alexandra Debiolles, Latifa Oukhellou, Patrice Aknin
Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks. ICPR (4) (2004)
Françoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet
Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. IWANN (1) (2001)
Latifa Oukhellou, Patrice Aknin
Hybrid training of radial basis function networks in a partitioning context of classification. Neurocomputing 28 (1-3) (1999)
Latifa Oukhellou, Patrice Aknin, Hervé Stoppiglia, Gérard Dreyfus
A new decision criterion for feature selection application to the classification of non destructive testing signatures. EUSIPCO (1998)