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 | 270 | 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 | 176 | 2020 |
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 | 133 | 2020 |
A survey on deep packet inspection for intrusion detection systems T AbuHmed, A Mohaisen, DH Nyang arXiv preprint arXiv:0803.0037, 2008 | 130 | 2008 |
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 | 114 | 2018 |
Robust hybrid deep learning models for Alzheimer’s progression detection T Abuhmed, S El-Sappagh, JM Alonso Knowledge-Based Systems 213, 106688, 2021 | 84 | 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 | 84 | 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 | 70 | 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 | 68 | 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 | 64 | 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 | 63 | 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 | 62 | 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 | 58 | 2019 |
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 | 51 | 2023 |
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 | 50 | 2021 |
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 | 45 | 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 | 45 | 2022 |
Machine learning-aided design of aluminum alloys with high performance UM Chaudry, K Hamad, T Abuhmed Materials Today Communications 26, 101897, 2021 | 44 | 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 | 32 | 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 | 31 | 2019 |