A new decision criterion for feature selection application to the classification of non destructive testing signatures. - Latifa Oukhellou; Patrice Aknin; Hervé Stoppiglia; Gérard Dreyfus (EUSIPCO, 1998)

Hybrid training of radial basis function networks in a partitioning context of classification. - Latifa Oukhellou; Patrice Aknin (Neurocomputing, 1999)

Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. - Françoise Fessant; Patrice Aknin; Latifa Oukhellou; Sophie Midenet (IWANN (1), 2001)

Combined Use of Partial Least Squares Regression and Neural Network for Diagnosis Tasks. - Alexandra Debiolles; Latifa Oukhellou; Patrice Aknin (ICPR (4), 2004)

Output coding of spatially dependent subclassifiers in evidential framework. Application to the diagnosis of railway track/vehicle transmission system. - Alexandra Debiolles; Latifa Oukhellou; Thierry Denoeux; Patrice Aknin (FUSION, 2006)

Railway Infrastructure System Diagnosis Using Empirical Mode Decomposition and Hilbert Transform. - Latifa Oukhellou; Patrice Aknin; Éric Deléchelle (ICASSP (3), 2006)

Mixture-model-based signal denoising. - Allou Samé; Latifa Oukhellou; Etienne Côme; Patrice Aknin (Adv. Data Anal. Classif., 2007)

Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis. - Etienne Côme; Zohra Leila Cherfi; Latifa Oukhellou; Patrice Aknin (ICMLA, 2008)

Mixture Model Estimation with Soft Labels. - Etienne Côme; Latifa Oukhellou; Thierry Denoeux; Patrice Aknin (SMPS, 2008)

Partially-supervised learning in Independent Factor Analysis. - Etienne Côme; Latifa Oukhellou; Patrice Aknin; Thierry Denoeux (ESANN, 2009)

Railway device diagnosis using sparse Independent Component Analysis. - Zohra Leila Cherfi; Etienne Côme; Latifa Oukhellou; Patrice Aknin (EUSIPCO, 2009)

Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis. - Etienne Côme; Latifa Oukhellou; Thierry Denoeux; Patrice Aknin (ICANN (2), 2009)

Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context. - Raissa Onanena; Faicel Chamroukhi; Latifa Oukhellou; Denis Candusso; Patrice Aknin; Daniel Hissel (ICMLA, 2009)

Learning from partially supervised data using mixture models and belief functions. - Etienne Côme; Latifa Oukhellou; Thierry Denoeux; Patrice Aknin (Pattern Recognit., 2009)

Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion. - Latifa Oukhellou; Alexandra Debiolles; Thierry Denoeux; Patrice Aknin (Eng. Appl. Artif. Intell., 2010)

Uncertainty-Aware Sensor Network Deployment. - Mustapha Réda Senouci; Abdelhamid Mellouk; Latifa Oukhellou; Amar Aissani (GLOBECOM, 2011)

Semi-supervised Feature Extraction Using Independent Factor Analysis. - Latifa Oukhellou; Etienne Côme; Patrice Aknin; Thierry Denoeux (ICMLA (2), 2011)

Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device. - Zohra Leila Cherfi; Latifa Oukhellou; Etienne Côme; Thierry Denoeux; Patrice Aknin (NL-MUA, 2011)

Using the Belief Functions Theory to Deploy Static Wireless Sensor Networks. - Mustapha Réda Senouci; Abdelhamid Mellouk; Latifa Oukhellou; Amar Aissani (Belief Functions, 2012)

Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors. - Dorra Trabelsi; Samer Mohammed; Faicel Chamroukhi; Latifa Oukhellou; Yacine Amirat (ESANN, 2012)

Activity recognition using body mounted sensors: An unsupervised learning based approach. - Dorra Trabelsi; Samer Mohammed; Yacine Amirat; Latifa Oukhellou (IJCNN, 2012)

Automatic inference of map attributes from mobile data. - Aude Hofleitner; Etienne Côme; Latifa Oukhellou; Jean-Patrick Lebacque; Alexandre M. Bayen (ITSC, 2012)

Temporal association rule mining for the preventive diagnosis of onboard subsystems within floating train data framework. - Wissam Sammouri; Etienne Côme; Latifa Oukhellou; Patrice Aknin; Charles-Eric Fonlladosa; Kevin Prendergast (ITSC, 2012)

Efficient uncertainty-aware deployment algorithms for wireless sensor networks. - Mustapha Réda Senouci; Abdelhamid Mellouk; Latifa Oukhellou; Amar Aissani (WCNC, 2012)

An Evidence-Based Sensor Coverage Model. - Mustapha Réda Senouci; Abdelhamid Mellouk; Latifa Oukhellou; Amar Aissani (IEEE Commun. Lett., 2012)

Fault diagnosis of a railway device using semi-supervised independent factor analysis with mixing constraints. - Etienne Côme; Latifa Oukhellou; Thierry Denoeux; Patrice Aknin (Pattern Anal. Appl., 2012)

Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis. - Zohra Leila Cherfi; Latifa Oukhellou; Etienne Côme; Thierry Denoeux; Patrice Aknin (Soft Comput., 2012)

Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. - Andry Njato Randriamanamihaga; Etienne Côme; Latifa Oukhellou; Gérard Govaert (ESANN, 2013)

Mining Floating Train Data Sequences for Temporal Association Rules within a Predictive Maintenance Framework. - Wissam Sammouri; Etienne Côme; Latifa Oukhellou; Patrice Aknin (ICDM, 2013)

Riding patterns recognition for Powered two-wheelers users' behaviors analysis. - Ferhat Attal; Abderrahmane Boubezoul; Latifa Oukhellou; Stéphane Espié (ITSC, 2013)

Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time. - Raissa Onanena; Faicel Chamroukhi; Latifa Oukhellou; Denis Candusso; Patrice Aknin; Daniel Hissel (CoRR, 2013)

Joint segmentation of multivariate time series with hidden process regression for human activity recognition. - Faicel Chamroukhi; Samer Mohammed; Dorra Trabelsi; Latifa Oukhellou; Yacine Amirat (Neurocomputing, 2013)

An Unsupervised Approach for Automatic Activity Recognition Based on Hidden Markov Model Regression. - Dorra Trabelsi; Samer Mohammed; Faicel Chamroukhi; Latifa Oukhellou; Yacine Amirat (IEEE Trans Autom. Sci. Eng., 2013)

The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts. - Ferhat Attal; Abderrahmane Boubezoul; Latifa Oukhellou; Nicolas Cheifetz; Stéphane Espié (ITSC, 2014)

Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework. - Wissam Sammouri; Etienne Côme; Latifa Oukhellou; Patrice Aknin; Charles-Eric Fonlladosa (ITSC, 2014)

Belief functions and uncertainty management in networks and telecommunication. - Abdelhamid Mellouk; Latifa Oukhellou; Lei Shu 001; Glenn Shafer (Ann. des Télécommunications, 2014)

Belief functions in telecommunications and network technologies: an overview. - Mustapha Réda Senouci; Abdelhamid Mellouk; Mohamed Abdelkrim Senouci; Latifa Oukhellou (Ann. des Télécommunications, 2014)

Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. - Andry Njato Randriamanamihaga; Etienne Côme; Latifa Oukhellou; Gérard Govaert (Neurocomputing, 2014)

Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris. - Etienne Côme; Latifa Oukhellou (ACM Trans. Intell. Syst. Technol., 2014)

Towards Smart City Energy Analytics: Identification of Consumption Patterns Based on the Clustering of Daily Electric Consumption Curves. - Fateh Nassim Melzi; Mohamed-Haykel Zayani; Amira Ben Hamida; François Stephan; Allou Samé; Latifa Oukhellou (CSDM, 2015)

Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions. - Ferhat Attal; Abderrahmane Boubezoul; Allou Samé; Latifa Oukhellou (ESANN, 2015)

Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms. - Feteh Nassim Melzi; Mohamed-Haykel Zayani; Amira Ben Hamida; Allou Samé; Latifa Oukhellou (ICMLA, 2015)

WSNs deployment framework based on the theory of belief functions. - Mustapha Réda Senouci; Abdelhamid Mellouk; Latifa Oukhellou; Amar Aissani (Comput. Networks, 2015)

Physical Human Activity Recognition Using Wearable Sensors. - Ferhat Attal; Samer Mohammed; Mariam Dedabrishvili; Faicel Chamroukhi; Latifa Oukhellou; Yacine Amirat (Sensors, 2015)

Powered Two-Wheeler Riding Pattern Recognition Using a Machine-Learning Framework. - Ferhat Attal; Abderrahmane Boubezoul; Latifa Oukhellou; Stéphane Espié (IEEE Trans. Intell. Transp. Syst., 2015)

Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network. - Pierre-Antoine Laharotte; Romain Billot; Etienne Côme; Latifa Oukhellou; Alfredo Nantes; Nour-Eddin El Faouzi (IEEE Trans. Intell. Transp. Syst., 2015)

Hourly Solar Irradiance Forecasting Based on Machine Learning Models. - Fateh Nassim Melzi; Taieb Touati; Allou Samé; Latifa Oukhellou (ICMLA, 2016)

Forecasting dynamic public transport Origin-Destination matrices with long-Short term Memory recurrent neural networks. - Florian Toqué; Etienne Côme; Mohamed Khalil El Mahrsi; Latifa Oukhellou (ITSC, 2016)

A mixture model clustering approach for temporal passenger pattern characterization in public transport. - Anne-Sarah Briand; Etienne Côme; Mohamed Khalil El Mahrsi; Latifa Oukhellou (Int. J. Data Sci. Anal., 2016)

Fusion-based surveillance WSN deployment using Dempster-Shafer theory. - Mustapha Réda Senouci; Abdelhamid Mellouk; Nadjib Aitsaadi; Latifa Oukhellou (J. Netw. Comput. Appl., 2016)

Recognition of gait cycle phases using wearable sensors. - Samer Mohammed; Allou Samé; Latifa Oukhellou; Kyoungchul Kong; Weiguang Huo; Yacine Amirat (Robotics Auton. Syst., 2016)

Predictive Classification of Water Consumption Time Series Using Non-homogeneous Markov Models. - Milad Leyli-Abadi; Allou Samé; Latifa Oukhellou; Nicolas Cheifetz; Pierre Mandel; Cédric Féliers; Olivier Chesneau (DSAA, 2017)

Processing, mining and visualizing massive urban data. - Pierre Borgnat; Etienne Côme; Latifa Oukhellou (ESANN, 2017)

Short & long term forecasting of multimodal transport passenger flows with machine learning methods. - Florian Toqué; Mostepha Khouadjia; Etienne Côme; Martin Trépanier; Latifa Oukhellou (ITSC, 2017)

Clustering Smart Card Data for Urban Mobility Analysis. - Mohamed Khalil El Mahrsi; Etienne Côme; Latifa Oukhellou; Michel Verleysen (IEEE Trans. Intell. Transp. Syst., 2017)

Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series. - Milad Leyli-Abadi; Allou Samé; Latifa Oukhellou; Nicolas Cheifetz; Pierre Mandel; Cédric Féliers; Olivier Chesneau (IJCNN, 2018)

Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories. - Mohamed Khalil El Mahrsi; Cindie Andrieu; Etienne Côme; Zakaria Bezza; Latifa Oukhellou; Fabrice Rossi (ITSC, 2018)

Automatic Segmentation of Stabilometric Signals Using Hidden Markov Model Regression. - Khaled Safi; Samer Mohammed; Ferhat Attal; Yacine Amirat; Latifa Oukhellou; Mohamad Khalil; Jean-Michel Gracies; Emilie Hutin (IEEE Trans Autom. Sci. Eng., 2018)

Powered Two-Wheelers Critical Events Detection and Recognition Using Data-Driven Approaches. - Ferhat Attal; Abderrahmane Boubezoul; Allou Samé; Latifa Oukhellou; Stéphane Espié (IEEE Trans. Intell. Transp. Syst., 2018)

LSTM Encoder-Predictor for Short-Term Train Load Forecasting. - Kevin Pasini; Mostepha Khouadjia; Allou Samé; Fabrice Ganansia; Latifa Oukhellou (ECML/PKDD (3), 2019)

Data-Driven Based Approach to Aid Parkinson's Disease Diagnosis. - Nicolas Khoury; Ferhat Attal; Yacine Amirat; Latifa Oukhellou; Samer Mohammed (Sensors, 2019)

Mixture of Joint Nonhomogeneous Markov Chains to Cluster and Model Water Consumption Behavior Sequences. - Milad Leyli-Abadi; Allou Samé; Latifa Oukhellou; Nicolas Cheifetz; Pierre Mandel; Cédric Féliers; Olivier Chesneau (ACM Trans. Intell. Syst. Technol., 2019)

Riding Pattern Recognition for Powered Two-Wheelers Using a Long Short-Term Memory Network. - Milad Leyli-Abadi; Abderrahmane Boubezoul; Latifa Oukhellou (ITSC, 2020)

Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data. - Florian Toqué; Etienne Côme; Martin Trépanier; Latifa Oukhellou (CoRR, 2020)

Powered Two-Wheeler Riding Profile Clustering for an In-Depth Study of Bend-Taking Practices. - Mohamed Diop; Abderrahmane Boubezoul; Latifa Oukhellou; Stéphane Espié (Sensors, 2020)

Machine learning and data mining for urban mobility intelligence. - Etienne Côme; Latifa Oukhellou; Allou Samé; Lijun Sun (ESANN, 2021)

A Lightweight Approach for Origin-Destination Matrix Anonymization. - Benoit Matet; Etienne Côme; Angelo Furno; Loïc Bonnetain; Latifa Oukhellou; Nour-Eddin El Faouzi (ESANN, 2021)

Image Inpainting and Deep Learning to Forecast Short-Term Train Loads. - Thomas Bapaume; Etienne Côme; Jérémy Roos; Mostafa Ameli; Latifa Oukhellou (IEEE Access, 2021)

Online common change-point detection in a set of nonstationary categorical time series. - Milad Leyli-Abadi; Allou Samé; Latifa Oukhellou; Nicolas Cheifetz; Pierre Mandel; Cédric Féliers; Véronique Heim (Neurocomputing, 2021)

Online Human Intention Detection through Machine-learning based Algorithm for the Control of Lower-limbs Wearable Robot. - Huiseok Moon; Abderrahmane Boubezoul; Latifa Oukhellou; Yacine Amirat; Samer Mohammed (Humanoids, 2022)

What insights can we draw from our residential energy models?: guidelines for future modelling exercises. - Matthias Heinrich; Marie Ruellan; Jean-Pierre Lévy; Allou Samé; Latifa Oukhellou (BuildSys, 2022)

Dynamic clustering and modeling of temporal data subject to common regressive effects. - Louise Bonfils; Allou Samé; Latifa Oukhellou (Neurocomputing, 2022)

Contextual anomaly detection on time series: a case study of metro ridership analysis. - Kevin Pasini; Mostepha Khouadjia; Allou Samé; Martin Trépanier; Latifa Oukhellou (Neural Comput. Appl., 2022)

A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. - Hugues Moreau; Etienne Côme; Allou Samé; Latifa Oukhellou (ICDM (Workshops), 2023)

Powered Two-Wheelers Right-Hand Curve Negotiation Study Using Segmentation and Data Mining Approaches. - Mohamed Diop; Abderrahmane Boubezoul; Latifa Oukhellou; Stéphane Espié; Samir Bouaziz (IEEE Trans. Intell. Transp. Syst., 2023)

A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving. - Jing Yang 044; Qinghua Ni; Guiyang Luo; Qi Cheng; Latifa Oukhellou; Shuangshuang Han (IEEE Trans. Intell. Veh., 2023)

The 2nd ACM SIGSPATIAL Workshop on Sustainable Urban Mobility. - Monika Sester; Stephan Winter 001; Latifa Oukhellou (ACM SIGSPATIAL Special, 2024)

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. - Paul de Nailly; Etienne Côme; Latifa Oukhellou; Allou Samé; Jacques Ferriere; Yasmine Merad-Boudia (Adv. Data Anal. Classif., 2024)

Deep Probabilistic Forecasting of Multivariate Count Data With "Sums and Shares" Distributions: A Case Study on Pedestrian Counts in a Multimodal Transport Hub. - Paul de Nailly; Etienne Côme; Latifa Oukhellou; Allou Samé; Jacques Ferriere; Yasmine Merad-Boudia (IEEE Trans. Intell. Transp. Syst., 2024)

Model-based clustering and alignment of water quality curves with prior knowledge integration using hidden Markov random fields. - Paul Riverain; Pierre Mandel; Allou Samé; Latifa Oukhellou; Karine Delabre; Alexandre Fleury (Expert Syst. Appl., 2025)

Real-Time LSTM-Driven Dynamic Gait Mode Detection for Enhanced Control of Actuated Ankle-Foot Orthosis. - Huiseok Moon; Oussama Bey; Abderrahmane Boubezoul; Latifa Oukhellou; Samer Mohammed (IEEE Trans. Robotics, 2025)

Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting. - Thien Pham; Angelo Furno; Faïcel Chamroukhi; Latifa Oukhellou (CoRR, 2025)