Követés
Lilia Rejeb
Lilia Rejeb
Université de Tunis, Institut Supérieur de Gestion de Tunis
E-mail megerősítve itt: isg.rnu.tn
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
402005
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
312004
Simulation Multi-Agents de Modèles Economiques: vers des systèmes multi-agents adaptatifs
L Rejeb
Université Reims, Champagne-Ardennes, 2005
152005
A hybrid approach for sleep stages classification
A Ouanes, L Rejeb
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 493-500, 2016
82016
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
72022
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
62022
Route planning for electric vehicles
S Ben Abbes, L Rejeb, L Baati
IET Intelligent Transport Systems 16 (7), 875-889, 2022
52022
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
52022
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
52005
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
42022
Firms adaptation in dynamic economic systems
L Rejeb, Z Guessoum
Artificial Economics: Agent-Based Methods in Finance, Game Theory and Their …, 2006
42006
Using XCS to build adaptive agents
Z Guessoum, L Rejeb, O Sigaud
AISB 2004 Convention, 101, 2004
42004
Multi-agent simulation of firms and organizational forms
Z Guessoum, L Rejeb, R Durand
Proceedings of the second international joint conference on Autonomous …, 2003
42003
Detecting physiological needs using deep inverse reinforcement learning
K Hantous, L Rejeb, R Hellali
Applied Artificial Intelligence 36 (1), 2022340, 2022
32022
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
22021
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
22020
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
22020
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
22020
Evidential learning classifier system
C Abdelkarim, L Rejeb, LB Said, M Elarbi
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
22017
Tailoring project management practices for decision making: an in-depth comparative study
W Zaouga, L Rejeb, LBA Rabai
International Journal of Project Organisation and Management 15 (2), 158-183, 2023
12023
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20