| Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions SB Atitallah, M Driss, W Boulila, HB Ghézala Computer Science Review 38, 100303, 2020 | 348 | 2020 |
| Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images S Ben Atitallah, M Driss, W Boulila, A Koubaa, H Ben Ghezala International Journal of Imaging Systems and Technology 32 (2), 658-672, 2022 | 66 | 2022 |
| Randomly initialized convolutional neural network for the recognition of COVID‐19 using X‐ray images S Ben Atitallah, M Driss, W Boulila, H Ben Ghezala International journal of imaging systems and technology 32 (1), 55-73, 2022 | 57 | 2022 |
| A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks SB Atitallah, M Driss, I Almomani Sensors 22 (11), 4302, 2022 | 53 | 2022 |
| Smartwater: A service-oriented and sensor cloud-based framework for smart monitoring of water environments H Mezni, M Driss, W Boulila, SB Atitallah, M Sellami, N Alharbi Remote Sensing 14 (4), 922, 2022 | 35 | 2022 |
| Req-WSComposer: a novel platform for requirements-driven composition of semantic web services M Driss, S Ben Atitallah, A Albalawi, W Boulila Journal of Ambient Intelligence and Humanized Computing, 1-17, 2022 | 25 | 2022 |
| FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics SB Atitallah, M Driss, HB Ghezala Internet of Things 23, 100845, 2023 | 24 | 2023 |
| Microservices for data analytics in IoT applications: current solutions, open challenges, and future research directions SB Atitallah, M Driss, HB Ghzela Procedia Computer Science 207, 3938-3947, 2022 | 23 | 2022 |
| An enhanced randomly initialized convolutional neural network for columnar cactus recognition in unmanned aerial vehicle imagery SB Atitallah, M Driss, W Boulila, A Koubaa, N Atitallah, HB Ghézala Procedia Computer Science 192, 573-581, 2021 | 12 | 2021 |
| An effective detection and classification approach for dos attacks in wireless sensor networks using deep transfer learning models and majority voting S Ben Atitallah, M Driss, W Boulila, I Almomani International Conference on Computational Collective Intelligence, 180-192, 2022 | 10 | 2022 |
| Leveraging deep learning and IoT big data analytics to support the smart cities development: Review and future directions Comput SB Atitallah, M Driss, W Boulila, HB Ghézala Sci. Rev 38, 2020 | 6 | 2020 |
| An evidence theory based embedding model for the management of smart water environments M Driss, W Boulila, H Mezni, M Sellami, S Ben Atitallah, N Alharbi Sensors 23 (10), 4672, 2023 | 5 | 2023 |
| Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning SB Atitallah, M Driss, HB Ghézala Procedia Computer Science 225, 3322-3331, 2023 | 5 | 2023 |
| Strengthening network intrusion detection in iot environments with self-supervised learning and few shot learning S Ben Atitallah, M Driss, W Boulila, A Koubaa International Conference on Computational Collective Intelligence, 83-96, 2024 | 2 | 2024 |
| Intelligent Microservices-based Approach to Support Data Analytics for IoT Applications SB Atitallah University of Manouba, 2023 | 2 | 2023 |
| Enhancing Early Alzheimer's Disease Detection Through Big Data and Ensemble Few-Shot Learning SB Atitallah, M Driss, W Boulila, A Koubaa IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
| Towards Inclusive Arabic LLMs: A Culturally Aligned Benchmark in Arabic Large Language Model Evaluation O Nacar, ST Sibaee, S Ahmed, SB Atitallah, A Ammar, Y Alhabashi, ... Proceedings of the First Workshop on Language Models for Low-Resource …, 2025 | | 2025 |
| Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning SB Atitallah, CB Rabah, M Driss, W Boulila, A Koubaa arXiv preprint arXiv:2412.18322, 2024 | | 2024 |
| Enhancing Internet of Things Security throughSelf-Supervised Graph Neural Networks SB Atitallah, M Driss, W Boulila, A Koubaa arXiv preprint arXiv:2412.13240, 2024 | | 2024 |
| Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review SB Atitallah, CB Rabah, M Driss, W Boulila, A Koubaa arXiv preprint arXiv:2412.05312, 2024 | | 2024 |
Maha DrissAssistant Professor, IEEE Senior Member,Top 2% World Scientists(Stanford) - Prince Sultan UniversityVerifierad e-postadress på psu.edu.sa
