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Fouad Trad
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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
212024
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
82022
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
62021
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
32022
Testing different covid-19 vaccination strategies using an agent-based modeling approach
F Trad, S El Falou
SN Computer Science 3 (4), 307, 2022
22022
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
12023
Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files
F Trad, A Hussein, A Chehab
Applied Sciences 13 (6), 3472, 2023
12023
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
12022
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
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