A comprehensive survey on applications of transformers for deep learning tasks S Islam, H Elmekki, A Elsebai, J Bentahar, N Drawel, G Rjoub, W Pedrycz Expert Systems with Applications 241, 122666, 2024 | 184 | 2024 |
Deep and Reinforcement Learning for Automated Task Scheduling in Large-Scale Cloud Computing Systems G Rjoub, J Bentahar, OA Wahab, AS Bataineh Concurrency and Computation: Practice and Experience, 2020 | 148 | 2020 |
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments G Rjoub, J Bentahar, OA Wahab Future Generation Computer Systems 110, 1079-1097, 2020 | 105 | 2020 |
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems OA Wahab, G Rjoub, J Bentahar, R Cohen Information Sciences 601, 189-206, 2022 | 94 | 2022 |
Trust-driven reinforcement selection strategy for federated learning on IoT devices G Rjoub, OA Wahab, J Bentahar, A Bataineh Computing 106 (4), 1273-1295, 2024 | 65 | 2024 |
An endorsement-based trust bootstrapping approach for newcomer cloud services OA Wahab, R Cohen, J Bentahar, H Otrok, A Mourad, G Rjoub Information Sciences 527, 159-175, 2020 | 56 | 2020 |
Deep smart scheduling: A deep learning approach for automated big data scheduling over the cloud G Rjoub, J Bentahar, OA Wahab, A Bataineh 2019 7th International Conference on Future Internet of Things and Cloud …, 2019 | 51 | 2019 |
A survey on explainable artificial intelligence for cybersecurity G Rjoub, J Bentahar, OA Wahab, R Mizouni, A Song, R Cohen, H Otrok, ... IEEE Transactions on Network and Service Management 20 (4), 5115-5140, 2023 | 43 | 2023 |
Improving autonomous vehicles safety in snow weather using federated YOLO CNN learning G Rjoub, OA Wahab, J Bentahar, AS Bataineh International Conference on Mobile Web and Intelligent Information Systems …, 2021 | 43 | 2021 |
Trust-augmented deep reinforcement learning for federated learning client selection G Rjoub, OA Wahab, J Bentahar, R Cohen, AS Bataineh Information Systems Frontiers 26 (4), 1261-1278, 2024 | 41 | 2024 |
Explainable AI-based federated deep reinforcement learning for trusted autonomous driving G Rjoub, J Bentahar, OA Wahab 2022 International Wireless Communications and Mobile Computing (IWCMC), 318-323, 2022 | 36 | 2022 |
A trust and energy-aware double deep reinforcement learning scheduling strategy for federated learning on IoT devices G Rjoub, O Abdel Wahab, J Bentahar, A Bataineh Service-Oriented Computing: 18th International Conference, ICSOC 2020, Dubai …, 2020 | 32 | 2020 |
Formal verification of group and propagated trust in multi-agent systems N Drawel, J Bentahar, A Laarej, G Rjoub Autonomous Agents and Multi-Agent Systems 36 (1), 19, 2022 | 30 | 2022 |
Cloud task scheduling based on swarm intelligence and machine learning G Rjoub, J Bentahar 2017 IEEE 5Th international conference on future internet of things and …, 2017 | 28 | 2017 |
Formalizing Group and Propagated Trust in Multi-Agent Systems N Drawel, J Bentahar, A Laarej, G Rjoub Twenty-Ninth International Joint Conference on Artificial Intelligence …, 2020 | 27 | 2020 |
Cloud computing as a platform for monetizing data services: A two-sided game business model AS Bataineh, J Bentahar, R Mizouni, OA Wahab, G Rjoub, M El Barachi IEEE Transactions on Network and Service Management 19 (2), 1336-1350, 2021 | 17 | 2021 |
A game-based secure trading of big data and iot services: Blockchain as a two-sided market AS Bataineh, J Bentahar, O Abdel Wahab, R Mizouni, G Rjoub Service-Oriented Computing: 18th International Conference, ICSOC 2020, Dubai …, 2020 | 15 | 2020 |
Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning G Rjoub, J Bentahar, OA Wahab 2023 International Wireless Communications and Mobile Computing (IWCMC), 524-529, 2023 | 8 | 2023 |
Active federated yolor model for enhancing autonomous vehicles safety G Rjoub, J Bentahar, YA Joarder International conference on mobile web and intelligent information systems …, 2022 | 8 | 2022 |
One-shot federated learning-based model-free reinforcement learning G Rjoub, J Bentahar, OA Wahab, N Drawel The International Conference on Deep Learning, Big Data and Blockchain, 39-52, 2022 | 6 | 2022 |