Elagage et aide à l'interprétation symbolique et graphique d'une pyramide. - Kutluhan Kemal Pak; Mohamed Cherif Rahal; Edwin Diday (EGC, 2005)

Le logiciel SODAS : avancées récentes Un outil permettant d'analyser et de visualiser des données symboliques. - Myriam Touati; Mohamed Cherif Rahal; Filipe Afonso; Edwin Diday (EGC, 2008)

Un nouvel algorithme de classification spatiale. - Mohamed Cherif Rahal (Monde des Util. Anal. Données, 2010)

A new multi-agent approach for lane detection and tracking. - Marc Revilloud; Dominique Gruyer; Mohamed-Cherif Rahal (ICRA, 2016)

A cooperative fusion architecture for robust localization: Application to autonomous driving. - Guillaume Bresson; Mohamed-Cherif Rahal; Dominique Gruyer; Marc Revilloud; Zayed Alsayed (ITSC, 2016)

A lane marker estimation method for improving lane detection. - Marc Revilloud; Dominique Gruyer; Mohamed-Cherif Rahal (ITSC, 2016)

Clustering methods comparison: Application to source based detection of botclouds. - Badis Hammi; Mohamed Cherif Rahal; Rida Khatoun (SSIC, 2016)

Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (ICIP, 2018)

Classification d'images en apprenant sur des échantillons positifs et non labélisés avec un réseau antagoniste génératif(Image classification by learning on positive and unlabeled samples with a generative adversarial network). - Florent Chiaroni; Mohamed-Cherif Rahal; Frédéric Dufaux; Nicolas Hueber (CNIA+RJCIA, 2018)

Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques. - Hatem Hajri; Emmanuel Doucet; Marc Revilloud; Lynda Halit; Benoît Lusetti; Mohamed-Cherif Rahal (CoRR, 2018)

Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth. - Hatem Hajri; Mohamed-Cherif Rahal (CoRR, 2018)

Multi-Layer Laser Scanner Strategy for Obstacle Detection and Tracking. - Dominique Gruyer; Mohamed-Cherif Rahal (AICCSA, 2019)

Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (ICIP, 2019)

Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. - Florent Chiaroni; Ghazaleh Khodabandelou; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (CoRR, 2019)

Self-supervised classification of dynamic obstacles using the temporal information provided by videos. - Sid Ali Hamideche; Florent Chiaroni; Mohamed-Cherif Rahal (CoRR, 2019)

Counter-examples generation from a positive unlabeled image dataset. - Florent Chiaroni; Ghazaleh Khodabandelou; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (Pattern Recognit., 2020)

Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (IEEE Signal Process. Mag., 2021)

Extracting Scenarios for Automated Driving Systems: A Statistical Based Occupation-Grid Approach with Deep Semi-Supervised Learning. - Walid Kheriji; Fouad Hadj-Selem; Ghada Ben Nejma; Thomas Bontemps; Laurent Durville; Mohamed-Cherif Rahal (ITSC, 2024)