Prompt engineering or fine-tuning? a case study on phishing detection with large language models F Trad, A Chehab Machine Learning and Knowledge Extraction 6 (1), 367-384, 2024 | 21 | 2024 |
Towards using deep reinforcement learning for better COVID-19 vaccine distribution strategies F Trad, S El Falou 2022 7th International Conference on Data Science and Machine Learning …, 2022 | 8 | 2022 |
Forecast analysis of the COVID-19 incidence in Lebanon: prediction of future epidemiological trends to plan more effective control programs S El Falou, F Trad 2021 Sixth International Conference on Advances in Biomedical Engineering …, 2021 | 6 | 2021 |
Using siamese neural networks for efficient and accurate IoT device identification F Trad, A Hussein, A Chehab 2022 Seventh International Conference on Fog and Mobile Edge Computing (FMEC …, 2022 | 3 | 2022 |
Testing different covid-19 vaccination strategies using an agent-based modeling approach F Trad, S El Falou SN Computer Science 3 (4), 307, 2022 | 2 | 2022 |
Assessing the effectiveness of siamese neural networks to mitigate frequent retraining in IoT device identification models F Trad, A Hussein, A Chehab 2023 International Conference on Platform Technology and Service (PlatCon …, 2023 | 1 | 2023 |
Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files F Trad, A Hussein, A Chehab Applied Sciences 13 (6), 3472, 2023 | 1 | 2023 |
Free Text Keystroke Dynamics-based Authentication with Continuous Learning: A Case Study F Trad, A Hussein, A Chehab 2022 IEEE 21st International Conference on Ubiquitous Computing and …, 2022 | 1 | 2022 |
Machine Learning Model for Hip Fracture Mortality Prediction Using the NSQIP Database B Isber, K Hatoum, D Obeid, M Chahine, F Trad, GEH Fuleihan, A Chehab ASBMR 2024 Annual Meeting, 2024 | | 2024 |
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications F Trad, A Chehab arXiv preprint arXiv:2403.17787, 2024 | | 2024 |