Associate Professor, College of Computing and Informatics, Sungkyunkwan University
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Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
S Ali, T Abuhmed, S El-Sappagh, K Muhammad, JM Alonso-Moral, ...
Information fusion 99, 101805, 2023
Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data
S El-Sappagh, T Abuhmed, SMR Islam, KS Kwak
Neurocomputing 412, 197-215, 2020
A survey on deep packet inspection for intrusion detection systems
T AbuHmed, A Mohaisen, DH Nyang
arXiv preprint arXiv:0803.0037, 2008
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors
M Abuhamad, T Abuhmed, D Mohaisen, DH Nyang
IEEE Internet of Things Journal 7 (6), 5008-5020, 2020
Large-scale and language-oblivious code authorship identification
M Abuhamad, T AbuHmed, A Mohaisen, DH Nyang
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
Robust hybrid deep learning models for Alzheimer’s progression detection
T Abuhmed, S El-Sappagh, JM Alonso
Knowledge-Based Systems 213, 106688, 2021
Intensive care unit mortality prediction: An improved patient-specific stacking ensemble model
N El-Rashidy, S El-Sappagh, T Abuhmed, S Abdelrazek, HM El-Bakry
IEEE Access 8, 133541-133564, 2020
Software-based remote code attestation in wireless sensor network
T AbuHmed, N Nyamaa, DH Nyang
GLOBECOM 2009-2009 IEEE Global Telecommunications Conference, 1-8, 2009
Automatic diabetic retinopathy grading system based on detecting multiple retinal lesions
E Abdelmaksoud, S El-Sappagh, S Barakat, T Abuhmed, M Elmogy
IEEE Access 9, 15939-15960, 2021
Comprehensive survey of using machine learning in the COVID-19 pandemic
N El-Rashidy, S Abdelrazik, T Abuhmed, E Amer, F Ali, JW Hu, ...
Diagnostics 11 (7), 1155, 2021
Alzheimer’s disease progression detection model based on an early fusion of cost-effective multimodal data
S El-Sappagh, H Saleh, R Sahal, T Abuhmed, SMR Islam, F Ali, E Amer
Future Generation Computer Systems 115, 680-699, 2021
A fuzzy ontology and SVM–based Web content classification system
F Ali, P Khan, K Riaz, D Kwak, T Abuhmed, D Park, KS Kwak
IEEE Access 5, 25781-25797, 2017
Code authorship identification using convolutional neural networks
M Abuhamad, J Rhim, T AbuHmed, S Ullah, S Kang, DH Nyang
Future Generation Computer Systems 95, 104-115, 2019
Classification and analysis of android malware images using feature fusion technique
J Singh, D Thakur, T Gera, B Shah, T Abuhmed, F Ali
IEEE Access 9, 90102-90117, 2021
Shaker El-Sappagh, Khan Muhammad, Jose M Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz-Rodríguez, and Francisco Herrera. Explainable …
S Ali, T Abuhmed
Information Fusion 99 (101805), 2, 2023
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
S El-Sappagh, F Ali, T Abuhmed, J Singh, JM Alonso
Neurocomputing 512, 203-224, 2022
Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time
S El-Sappagh, H Saleh, F Ali, E Amer, T Abuhmed
Neural Computing and Applications 34 (17), 14487-14509, 2022
Machine learning-aided design of aluminum alloys with high performance
UM Chaudry, K Hamad, T Abuhmed
Materials Today Communications 26, 101897, 2021
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
N El-Rashidy, T Abuhmed, L Alarabi, HM El-Bakry, S Abdelrazek, F Ali, ...
Neural Computing and Applications, 1-30, 2022
A comprehensive medical decision–support framework based on a heterogeneous ensemble classifier for diabetes prediction
S El-Sappagh, M Elmogy, F Ali, T Abuhmed, SMR Islam, KS Kwak
Electronics 8 (6), 635, 2019
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