| Comparative study between big data analysis techniques in intrusion detection M Hafsa, F Jemili Big Data and Cognitive Computing 3 (1), 1, 2018 | 33 | 2018 |
| Multi-objective recommender system for corporate mooc M Hafsa, P Wattebled, J Jacques, L Jourdan Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 5 | 2022 |
| A Multi-Objective E-learning Recommender System at Mandarine Academy. M Hafsa, P Wattebled, J Jacques, L Jourdan Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co …, 2022 | 5 | 2022 |
| A Multi-objective evolutionary approach to professional course timetabling: a real-world case study M Hafsa, P Wattebled, J Jacques, L Jourdan 2021 IEEE Congress on Evolutionary Computation (CEC), 997-1004, 2021 | 5 | 2021 |
| Optimisation Multi-Objectif pour la Recommandation: application à une MOOC d'entreprise M Hafsa, P Wattebled, J Jacques, L Jourdan ROADEF2022, 2022 | 2 | 2022 |
| Une approche évolutionnaire multiobjectif pour la planification des cours professionnels LJ Mounir Hafsa, Pamela Wattebled, Julie Jacques ROADEF, 2021 | 1 | 2021 |
| E-learning recommender system dataset M Hafsa, P Wattebled, J Jacques, L Jourdan Data in Brief 47, 108942, 2023 | | 2023 |
| Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy M Hafsa, P Wattebled, J Jacques, L Jourdan International Transactions in Operational Research, 2023 | | 2023 |
| Nouveaux algorithmes de prédiction et de planification pour le digital learning basés sur des méthodes d'optimisation. M Hafsa | | 2023 |
| New prediction and planning for digital learning based on optimization methods M Hafsa Université de Lille, 2023 | | 2023 |
| Nouvelle prédiction et planification pour l’apprentissage numérique basées sur des méthodes d’optimisation M Hafsa | | 2023 |
