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Gaith Rjoub
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2020 – today
- 2024
- [j10]Gaith Rjoub
, Omar Abdel Wahab, Jamal Bentahar
Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing 106(4): 1273-1295 (2024) - [j9]Saidul Islam
A comprehensive survey on applications of transformers for deep learning tasks. Expert Syst. Appl. 241: 122666 (2024) - [j8]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar
Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. Inf. Syst. Frontiers 26(4): 1261-1278 (2024) - [i4]Gaith Rjoub, Saidul Islam, Jamal Bentahar, Mohammed Amin Almaiah, Rana Al-Rawashdeh:
Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology. CoRR abs/2404.04205 (2024) - 2023
- [j7]Gaith Rjoub
A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Trans. Netw. Serv. Manag. 20(4): 5115-5140 (2023) - [c11]Gaith Rjoub, Jamal Bentahar
Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning. IWCMC 2023: 524-529 - [i3]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad:
A Survey on Explainable Artificial Intelligence for Network Cybersecurity. CoRR abs/2303.12942 (2023) - [i2]Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz:
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks. CoRR abs/2306.07303 (2023) - 2022
- [j6]Nagat Drawel, Jamal Bentahar
Formal verification of group and propagated trust in multi-agent systems. Auton. Agents Multi Agent Syst. 36(1): 19 (2022) - [j5]Omar Abdel Wahab, Gaith Rjoub, Jamal Bentahar
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. Inf. Sci. 601: 189-206 (2022) - [j4]Ahmed Saleh Bataineh
Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model. IEEE Trans. Netw. Serv. Manag. 19(2): 1336-1350 (2022) - [c10]Gaith Rjoub, Jamal Bentahar
One-Shot Federated Learning-based Model-Free Reinforcement Learning. DBB 2022: 39-52 - [c9]Gaith Rjoub, Jamal Bentahar
Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving. IWCMC 2022: 318-323 - [c8]Gaith Rjoub
Active Federated YOLOR Model for Enhancing Autonomous Vehicles Safety. MobiWIS 2022: 49-64 - 2021
- [j3]Gaith Rjoub
Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. Concurr. Comput. Pract. Exp. 33(23) (2021) - [c7]Ahmed Saleh Bataineh, Jamal Bentahar
Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game. SCC 2021: 443-449 - [c6]Gaith Rjoub
Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning. MobiWIS 2021: 121-134 - [i1]Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi:
Cloud computing as a platform for monetizing data services: A two-sided game business model. CoRR abs/2104.12762 (2021) - 2020
- [j2]Gaith Rjoub, Jamal Bentahar
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments. Future Gener. Comput. Syst. 110: 1079-1097 (2020) - [j1]Omar Abdel Wahab
An endorsement-based trust bootstrapping approach for newcomer cloud services. Inf. Sci. 527: 159-175 (2020) - [c5]Ahmed Saleh Bataineh, Jamal Bentahar
A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market. ICSOC 2020: 85-100 - [c4]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar
A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices. ICSOC 2020: 319-333 - [c3]Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub:
Formalizing Group and Propagated Trust in Multi-Agent Systems. IJCAI 2020: 60-66
2010 – 2019
- 2019
- [c2]Gaith Rjoub, Jamal Bentahar
Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud. FiCloud 2019: 189-196 - 2017
- [c1]Gaith Rjoub, Jamal Bentahar
Cloud Task Scheduling Based on Swarm Intelligence and Machine Learning. FiCloud 2017: 272-279
Coauthor Index
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last updated on 2024-09-21 23:39 CEST by the dblp team
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