| An adaptive approach for the exploration-exploitation dilemma for learning agents L Rejeb, Z Guessoum, R M’Hallah International Central and Eastern European Conference on Multi-Agent Systems …, 2005 | 40 | 2005 |
| Using adaptive multi-agent systems to simulate economic models Z Guessoum, L Rejeb, R Durand Proceedings of the Third International Joint Conference on Autonomous Agents …, 2004 | 31 | 2004 |
| Simulation Multi-Agents de Modèles Economiques: vers des systèmes multi-agents adaptatifs L Rejeb Université Reims, Champagne-Ardennes, 2005 | 16 | 2005 |
| Route planning for electric vehicles S Ben Abbes, L Rejeb, L Baati IET Intelligent Transport Systems 16 (7), 875-889, 2022 | 10 | 2022 |
| A hybrid approach for sleep stages classification A Ouanes, L Rejeb Proceedings of the Genetic and Evolutionary Computation Conference 2016, 493-500, 2016 | 9 | 2016 |
| Optimal electric vehicles route planning with traffic flow prediction and real-time traffic incidents M Sebai, L Rejeb, MA Denden, Y Amor, L Baati, LB Said International Journal of Electrical and Computer Engineering Research 2 (1 …, 2022 | 7 | 2022 |
| The use of DCNN for road path detection and segmentation NM Murad, L Rejeb, LB Said Iraqi Journal For Computer Science and Mathematics 3 (2), 119-127, 2022 | 6 | 2022 |
| Detecting physiological needs using deep inverse reinforcement learning K Hantous, L Rejeb, R Hellali Applied Artificial Intelligence 36 (1), 2022340, 2022 | 5 | 2022 |
| Atipreta: An analytical model for time-dependent prediction of terrorist attacks O Kebir, I Nouaouri, L Rejeb, L Ben Said International Journal of Applied Mathematics and Computer Science 32 (3), 2022 | 5 | 2022 |
| An adaptive approach for the exploration-exploitation dilemma and its application to economic systems L Rejeb, Z Guessoum, R M’Hallah International Workshop on Learning and Adaption in Multi-Agent Systems, 165-176, 2005 | 5 | 2005 |
| Firms adaptation in dynamic economic systems L Rejeb, Z Guessoum Artificial Economics: Agent-Based Methods in Finance, Game Theory and Their …, 2006 | 4 | 2006 |
| Using XCS to build adaptive agents Z Guessoum, L Rejeb, O Sigaud AISB 2004 Convention, 101, 2004 | 4 | 2004 |
| Multi-agent simulation of firms and organizational forms Z Guessoum, L Rejeb, R Durand Proceedings of the second international joint conference on Autonomous …, 2003 | 4 | 2003 |
| Simulating actors’ behaviors within terrorist attacks scenarios based on a multi-agent system O Kebir, I Nouaouri, L Rejeb, LB Said Proceedings of the 12th International Defence and Homeland Security …, 2022 | 3 | 2022 |
| Unsupervised sleep stages classification based on physiological signals R Ferjani, L Rejeb, LB Said International Conference on Practical Applications of Agents and Multi-agent …, 2020 | 3 | 2020 |
| Cooperative reinforcement multi-agent learning system for sleep stages classification R Ferjani, L Rejeb, LB Said 2020 International Multi-Conference on:“Organization of Knowledge and …, 2020 | 3 | 2020 |
| Ensemble learning for multi-channel sleep stage classification GB Hamouda, L Rejeb, LB Said Biomedical Signal Processing and Control 93, 106184, 2024 | 2 | 2024 |
| Evidential supervised classifier system: A new learning classifier system dealing with imperfect information R Ferjani, L Rejeb, C Abdelkarim, LB Said International Journal of Information Technology & Decision Making 23 (02 …, 2024 | 2 | 2024 |
| Conceptual terrorist attacks classification: Pre-processing for artificial intelligence-based classification O Kebir, I Nouaouri, L Rejeb, LB Said Proceedings of the 11th International Defence and Homeland Security …, 2021 | 2 | 2021 |
| Belief extended classifier system: A new approach for dealing with uncertainty in sleep stages classification R Ferjani, L Rejeb, LB Said International Conference on Hybrid Intelligent Systems, 454-463, 2020 | 2 | 2020 |
