Face Recognition Based on Harris Detector and Convolutional Neural Networks. - Assaad Oussama Zeghina; Oussama Zoubia; Ali Behloul (MISC, 2020)

Feature Selection for Location Metonymy Using Augmented Bag-of-Words. - Muhammad Elyas Meguellati; Rohana Binti Mahmud; Sameem Binti Abdul Kareem; Assaad Oussama Zeghina; Younes Saadi (IEEE Access, 2022)

A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data. - Alice Othmani; Assaad Oussama Zeghina; Muhammad Muzammel (Comput. Methods Programs Biomed., 2022)

Multi-SPMiner: A Deep Learning Framework for Multi-Graph Frequent Pattern Mining with Application to spatiotemporal Graphs. - Assaad Oussama Zeghina; Aurélie Leborgne; Florence Le Ber; Antoine Vacavant (KES, 2023)

Multi-SPMiner : un framework d'apprentissage profond pour l'extraction de motifs fréquents dans des multi-graphes avec application aux graphes spatio-temporels. - Assaad Oussama Zeghina; Aurélie Leborgne; Florence Le Ber; Antoine Vacavant (EGC, 2024)

Deep learning on spatiotemporal graphs: A systematic review, methodological landscape, and research opportunities. - Assaad Oussama Zeghina; Aurélie Leborgne; Florence Le Ber; Antoine Vacavant (Neurocomputing, 2024)

Recherche de motifs spatio-temporels fréquents dans un grand graphe via des méthodes d'apprentissage profond. (Frequent spatiotemporal motif mining in a large graph using deep learning method). - Assaad Oussama Zeghina (2024)

Deep QMiner: Towards a Generalized Deep Q-Learning Approach for Graph Pattern Mining. - Assaad Oussama Zeghina; Aurélie Leborgne; Florence Le Ber; Antoine Vacavant (GbRPR, 2025)

LLM-Based Semantic Augmentation for Harmful Content Detection. - Elyas Meguellati; Assaad Oussama Zeghina; Shazia Sadiq; Gianluca Demartini (ICWSM, 2025)