| Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients F Juraev, S El-Sappagh, E Abdukhamidov, F Ali, T Abuhmed Journal of Biomedical Informatics 135, 104216, 2022 | 28 | 2022 |
| Advedge: Optimizing adversarial perturbations against interpretable deep learning E Abdukhamidov, M Abuhamad, F Juraev, E Chan-Tin, T AbuHmed International Conference on Computational Data and Social Networks, 93-105, 2021 | 18 | 2021 |
| Sentiment analysis of users’ reactions on social media during the pandemic E Abdukhamidov, F Juraev, M Abuhamad, S El-Sappagh, T AbuHmed Electronics 11 (10), 1648, 2022 | 13 | 2022 |
| Black-box and target-specific attack against interpretable deep learning systems E Abdukhamidov, F Juraev, M Abuhamad, T Abuhmed Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022 | 12 | 2022 |
| Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models F Juraev, E Abdukhamidov, M Abuhamad, T Abuhmed The 17th ACM ASIA Conference on Computer and Communications Security (ACM …, 2022 | 9 | 2022 |
| An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic E Abdukhamidov, F Juraev, M Abuhamad, T AbuHmed arXiv preprint arXiv:2103.13032, 2021 | 3 | 2021 |
| Integrating Digital Twin Technology with Dynamic Ensemble Learning for Sepsis Prediction in Intensive Care Units A Danesh, F Juraev, S El-Sappagh, T Abuhmed Journal of Intelligence and Information Systems 30 (2), 25-59, 2024 | 2 | 2024 |
| Explainable dynamic ensemble framework for classification based on the late fusion of heterogeneous multimodal data F Juraev, S El-Sappagh, T Abuhmed Intelligent Systems Conference, 555-570, 2023 | 2 | 2023 |
| Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses F Juraev, M Abuhamad, E Chan-Tin, GK Thiruvathukal, T Abuhmed 2024 Silicon Valley Cybersecurity Conference (SVCC), 1-8, 2024 | 1 | 2024 |
| Impact of architectural modifications on deep learning adversarial robustness F Juraev, M Abuhamad, SS Woo, GK Thiruvathukal, T Abuhmed arXiv preprint arXiv:2405.01934, 2024 | 1 | 2024 |
| Infodeslib: Python Library for Dynamic Ensemble Learning using Late Fusion of Multimodal Data F Juraev, S El-Sappagh, T Abuhmed KDD 2024 Workshop KiL, 2024 | | 2024 |
| The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings F Juraev, M Abuhamad, SS Woo, GK Thiruvathukal, T Abuhmed 2024 Silicon Valley Cybersecurity Conference (SVCC), 1-7, 2024 | | 2024 |
| From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings F Juraev, M Abuhamad, E Chan-Tin, GK Thiruvathukal, T Abuhmed arXiv preprint arXiv:2405.01963, 2024 | | 2024 |
Tamer ABUHMEDCollege of Computing and Informatics, Sungkyunkwan University確認したメール アドレス: skku.edu