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2020 – today
- 2025
[j37]Haseeb Javed, Shaker H. Ali El-Sappagh, Tamer Abuhmed:
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications. Artif. Intell. Rev. 58(1): 12 (2025)- 2024
- [j36]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: 111749 (2024) - [j35]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: 108348 (2024) - [j34]Mohsen Ali Alawami, Tamer Abuhmed, Mohammed Abuhamad, Hyoungshick Kim:
MotionID: Towards practical behavioral biometrics-based implicit user authentication on smartphones. Pervasive Mob. Comput. 101: 101922 (2024) - [j33]Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo, Eric Chan-Tin, Tamer Abuhmed:
Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses. IEEE Trans. Dependable Secur. Comput. 21(4): 3963-3976 (2024) - [j32]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: 5985-5998 (2024) - [c15]Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed:
Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. SVCC 2024: 1-8 - [c14]Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed:
The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. SVCC 2024: 1-7 - [i8]Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed:
Impact of Architectural Modifications on Deep Learning Adversarial Robustness. CoRR abs/2405.01934 (2024) - [i7]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 abs/2405.01963 (2024) - 2023
- [j31]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): 11149-11296 (2023) - [j30]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): 1677-1698 (2023) - [j29]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: 107495 (2023) - [j28]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): 2773-2795 (2023) - [j27]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): 496-513 (2023) - [j26]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: 363-388 (2023) - [j25]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: 101805 (2023) - [j24]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): 1199-1209 (2023) - [c13]Bojun Wang, Sajid Ali, Xinyi Fan, Tamer Abuhmed:
Real-time human detection and behavior recognition using low-cost hardware. IMCOM 2023: 1-8 - [c12]Firuz Juraev, Shaker H. Ali El-Sappagh, Tamer Abuhmed:
Explainable Dynamic Ensemble Framework for Classification Based on the Late Fusion of Heterogeneous Multimodal Data. IntelliSys (3) 2023: 555-570 - [c11]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: 1-6 - [i6]Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed:
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. CoRR abs/2307.06484 (2023) - [i5]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 abs/2307.06496 (2023) - [i4]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 abs/2307.11906 (2023) - 2022
- [j23]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: 130632-130641 (2022) - [j22]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: 102854 (2022) - [j21]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: 203-224 (2022) - [j20]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: 104216 (2022) - [j19]Nora El-Rashidy, Tamer AbuHmed, Louai Alarabi, Hazem M. El-Bakry, Samir Abdelrazek, Farman Ali, Shaker H. Ali El-Sappagh:
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning. Neural Comput. Appl. 34(5): 3603-3632 (2022) - [j18]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): 14487-14509 (2022) - [j17]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): 5793-5804 (2022) - [c10]Firuz Juraev, Eldor Abdukhamidov, Mohammed Abuhamad, Tamer Abuhmed:
Depth, Breadth, and Complexity: Ways to Attack and Defend Deep Learning Models. AsiaCCS 2022: 1207-1209 - [c9]Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer Abuhmed:
Black-box and Target-specific Attack Against Interpretable Deep Learning Systems. AsiaCCS 2022: 1216-1218 - [c8]Qirui Sun, Eldor Abdukhamidov, Tamer Abuhmed, Mohammed Abuhamad:
Leveraging Spectral Representations of Control Flow Graphs for Efficient Analysis of Windows Malware. AsiaCCS 2022: 1240-1242 - [c7]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: 11-18 - [i3]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 abs/2211.15926 (2022) - 2021
- [j16]Eman AbdelMaksoud, Shaker H. Ali El-Sappagh, Sherif I. Barakat, Tamer AbuHmed, Mohammed Elmogy:
Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions. IEEE Access 9: 15939-15960 (2021) - [j15]Jaiteg Singh, Deepak Thakur, Tanya Gera, Babar Shah, Tamer AbuHmed, Farman Ali:
Classification and Analysis of Android Malware Images Using Feature Fusion Technique. IEEE Access 9: 90102-90117 (2021) - [j14]Shaker H. Ali El-Sappagh, Tamer AbuHmed, Bader Alouffi, Radhya Sahal, Naglaa Abdelhade, Hager Saleh:
The Role of Medication Data to Enhance the Prediction of Alzheimer's Progression Using Machine Learning. Comput. Intell. Neurosci. 2021: 8439655:1-8439655:8 (2021) - [j13]Shaker H. Ali El-Sappagh, Hager Saleh, Radhya Sahal, Tamer AbuHmed, S. M. Riazul Islam, Farman Ali, Eslam Amer:
Alzheimer's disease progression detection model based on an early fusion of cost-effective multimodal data. Future Gener. Comput. Syst. 115: 680-699 (2021) - [j12]Tamer AbuHmed, Shaker H. Ali El-Sappagh, José Maria Alonso:
Robust hybrid deep learning models for Alzheimer's progression detection. Knowl. Based Syst. 213: 106688 (2021) - [j11]Mohammed Abuhamad, Tamer AbuHmed, David Mohaisen, Daehun Nyang:
Large-scale and Robust Code Authorship Identification with Deep Feature Learning. ACM Trans. Priv. Secur. 24(4): 23:1-23:35 (2021) - [c6]Eldor Abdukhamidov, Mohammed Abuhamad, Firuz Juraev, Eric Chan-Tin, Tamer AbuHmed:
AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learning. CSoNet 2021: 93-105 - [i2]Eldor Abdukhamidov, Firuz Juraev, Mohammed Abuhamad, Tamer AbuHmed:
An Exploration of Geo-temporal Characteristics of Users' Reactions on Social Media During the Pandemic. CoRR abs/2103.13032 (2021) - 2020
- [j10]Nora El-Rashidy, Shaker H. Ali El-Sappagh, Tamer AbuHmed, Samir Abdelrazek, Hazem M. El-Bakry:
Intensive Care Unit Mortality Prediction: An Improved Patient-Specific Stacking Ensemble Model. IEEE Access 8: 133541-133564 (2020) - [j9]Manar Mohaisen, Tasnim Holoubi, Tamer AbuHmed:
Performance Analysis and Constellation Design for the Parallel Quadrature Spatial Modulation. Entropy 22(8): 841 (2020) - [j8]Shaker H. Ali El-Sappagh, Tamer AbuHmed, S. M. Riazul Islam, Kyung Sup Kwak:
Multimodal multitask deep learning model for Alzheimer's disease progression detection based on time series data. Neurocomputing 412: 197-215 (2020) - [j7]Mohammed Abuhamad, Tamer AbuHmed, David Mohaisen, DaeHun Nyang:
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors. IEEE Internet Things J. 7(6): 5008-5020 (2020) - [j6]Mohammed Abuhamad, Tamer AbuHmed, DaeHun Nyang, David Mohaisen:
Multi-χ: Identifying Multiple Authors from Source Code Files. Proc. Priv. Enhancing Technol. 2020(3): 25-41 (2020) - [c5]Shaker H. Ali El-Sappagh, Tamer AbuHmed, Kyung Sup Kwak:
Alzheimer Disease Prediction Model Based on Decision Fusion of CNN-BiLSTM Deep Neural Networks. IntelliSys (3) 2020: 482-492
2010 – 2019
- 2019
- [j5]Mohammed Abuhamad, Ji-su Rhim, Tamer AbuHmed, Sana Ullah, Sanggil Kang, DaeHun Nyang:
Code authorship identification using convolutional neural networks. Future Gener. Comput. Syst. 95: 104-115 (2019) - 2018
- [c4]Mohammed Abuhamad, Tamer AbuHmed, Aziz Mohaisen, DaeHun Nyang:
Large-Scale and Language-Oblivious Code Authorship Identification. CCS 2018: 101-114 - 2017
- [j4]Farman Ali, Pervez Khan, Kashif Riaz, Daehan Kwak, Tamer AbuHmed, Daeyoung Park, Kyung Sup Kwak:
A Fuzzy Ontology and SVM-Based Web Content Classification System. IEEE Access 5: 25781-25797 (2017) - 2015
- [j3]Tamer AbuHmed, KyungHee Lee, DaeHun Nyang:
UOIT Keyboard: A Constructive Keyboard for Small Touchscreen Devices. IEEE Trans. Hum. Mach. Syst. 45(6): 782-789 (2015) - 2012
- [c3]Abedelaziz Mohaisen, Tamer AbuHmed, Ting Zhu, Manar Mohaisen:
Collaboration in social network-based information dissemination. ICC 2012: 2103-2107 - 2011
- [j2]Tamer AbuHmed, Jeonil Kang, DaeHun Nyang, KyungHee Lee:
A Software-Based Group Attestation for Wireless Sensor Networks. Ad Hoc Sens. Wirel. Networks 13(1-2): 121-154 (2011) - [c2]Abedelaziz Mohaisen, Tamer AbuHmed, Hun Jeong Kang, Yongdae Kim, DaeHun Nyang:
Mistaking friends for foes: an analysis of a social network-based Sybil defense in mobile networks. ICUIMC 2011: 28
2000 – 2009
- 2009
- [c1]Tamer AbuHmed, Nandinbold Nyamaa, DaeHun Nyang:
Software-Based Remote Code Attestation in Wireless Sensor Network. GLOBECOM 2009: 1-8 - 2008
- [j1]Abedelaziz Mohaisen, DaeHun Nyang, Tamer AbuHmed:
Two-level Key Pool Design-based Random Key Pre-distribution in Wireless Sensor Networks. KSII Trans. Internet Inf. Syst. 2(5): 222-238 (2008) - [i1]Tamer AbuHmed, Abedelaziz Mohaisen, DaeHun Nyang:
A Survey on Deep Packet Inspection for Intrusion Detection Systems. CoRR abs/0803.0037 (2008)
Coauthor Index
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last updated on 2024-12-17 21:50 CET by the dblp team
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