Tamer Abuhmed

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 30

Top Topics

Disease Diagnosis

Learning Systems

Early Detection

Top Venues

Comput. Methods Programs Biomed.

Publications

Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed
SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed
Impact of Architectural Modifications on Deep Learning Adversarial Robustness. CoRR (2024)
Mohsen Ali Alawami, Tamer Abuhmed, Mohammed Abuhamad, Hyoungshick Kim
MotionID: Towards practical behavioral biometrics-based implicit user authentication on smartphones. Pervasive Mob. Comput. 101 (2024)
Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings. CoRR (2024)
Jalal Safari Bazargani, Nasir Rahim, Abolghasem Sadeghi-Niaraki, Tamer Abuhmed, Houbing Song, Soo-Mi Choi
Alzheimer's disease diagnosis in the metaverse. Comput. Methods Programs Biomed. 255 (2024)
Nasir Rahim, Shaker H. Ali El-Sappagh, Haytham Rizk, Omar Amin El-serafy, Tamer Abuhmed
Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data. Appl. Soft Comput. 162 (2024)
Nasir Rahim, Shaker H. Ali El-Sappagh, Sajid Ali, Khan Muhammad, Javier Del Ser, Tamer Abuhmed
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data. Inf. Fusion 92 (2023)
Shaker H. Ali El-Sappagh, Jose Maria Alonso-Moral, Tamer Abuhmed, Farman Ali, Alberto José Bugarín Diz
Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges. Artif. Intell. Rev. 56 (10) (2023)
Neda Kaffash-Charandabi, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi, Tamer Abuhmed
An approach for measuring spatial similarity among COVID-19 epicenters. Geo spatial Inf. Sci. 26 (3) (2023)
Hala Ahmed, Hassan Soliman, Shaker H. Ali El-Sappagh, Tamer Abuhmed, Mohammed Elmogy
Early Detection of Alzheimer's Disease Based on Laplacian Re-Decomposition and XGBoosting. Comput. Syst. Sci. Eng. 46 (3) (2023)
Sajid Ali, Tamer Abuhmed, Shaker H. Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, Francisco Herrera
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion 99 (2023)
Mohamed Noureldin, Tamer Abuhmed, Melike Saygi, Jinkoo Kim
Explainable probabilistic deep learning framework for seismic assessment of structures using distribution-free prediction intervals. Comput. Aided Civ. Infrastructure Eng. 38 (12) (2023)
Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks. CoRR (2023)
Muhammad Junaid, Sajid Ali, Fatma Eid, Shaker H. Ali El-Sappagh, Tamer Abuhmed
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease. Comput. Methods Programs Biomed. 234 (2023)
Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. CoRR (2023)
Bojun Wang, Sajid Ali, Xinyi Fan, Tamer Abuhmed
Real-time human detection and behavior recognition using low-cost hardware. IMCOM (2023)
Sajid Ali, Omar Abusabha, Farman Ali, Muhammad Imran, Tamer Abuhmed
Effective Multitask Deep Learning for IoT Malware Detection and Identification Using Behavioral Traffic Analysis. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems. CoRR (2023)
Hager Saleh, Nora El-Rashidy, Tamer Abuhmed, Shaker H. Ali El-Sappagh
LSTM deep learning model for Alzheimer's disease prediction based on cost-effective time series cognitive scores. NILES (2023)
Jalal Safari Bazargani, Abolghasem Sadeghi-Niaraki, Fatema Rahimi, Tamer Abuhmed, Soo-Mi Choi
An IoT-Based Approach for Learning Geometric Shapes in Early Childhood. IEEE Access 10 (2022)
Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer Abuhmed
Black-box and Target-specific Attack Against Interpretable Deep Learning Systems. AsiaCCS (2022)
Qirui Sun, Mohammed Abuhamad, Eldor Abdukhamidov, Eric Chan-Tin, Tamer Abuhmed
MLxPack: Investigating the Effects of Packers on ML-based Malware Detection Systems Using Static and Dynamic Traits. CySSS@AsiaCCS (2022)
Negar Shabanpour, Seyed Vahid Razavi Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi, Tamer Abuhmed
Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping. Int. J. Appl. Earth Obs. Geoinformation 112 (2022)
Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning. CoRR (2022)
Qirui Sun, Eldor Abdukhamidov, Tamer Abuhmed, Mohammed Abuhamad
Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. AsiaCCS (2022)
Shaker H. Ali El-Sappagh, Hager Saleh, Farman Ali, Eslam Amer, Tamer Abuhmed
Two-stage deep learning model for Alzheimer's disease detection and prediction of the mild cognitive impairment time. Neural Comput. Appl. 34 (17) (2022)
Sajid Ali, Shaker H. Ali El-Sappagh, Farman Ali, Muhammad Imran, Tamer Abuhmed
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data. IEEE J. Biomed. Health Informatics 26 (12) (2022)
Firuz Juraev, Eldor Abdukhamidov, Mohammed Abuhamad, Tamer Abuhmed
Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. AsiaCCS (2022)
Firuz Juraev, Shaker H. Ali El-Sappagh, Eldor Abdukhamidov, Farman Ali, Tamer Abuhmed
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients. J. Biomed. Informatics 135 (2022)
Shaker H. Ali El-Sappagh, Farman Ali, Tamer Abuhmed, Jaiteg Singh, José Maria Alonso
Automatic detection of Alzheimer's disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers. Neurocomputing 512 (2022)