Article

Alashhab, A.A. and Zahid, M.S. and Isyaku, B. and Elnour, A.A. and Nagmeldin, W. and Abdelmaboud, A. and Abdullah, T.A.A. and Maiwada, U.D. (2024) Enhancing DDoS Attack Detection and Mitigation in SDN Using an Ensemble Online Machine Learning Model. IEEE Access, 12. pp. 51630-51649. ISSN 21693536

Abdullah, T.A.A. and Zahid, M.S.M. and Turki, A.F. and Ali, W. and Jiman, A.A. and Abdulaal, M.J. and Sobahi, N.M. and Attar, E.T. (2024) Sig-Lime: A Signal-Based Enhancement of Lime Explanation Technique. IEEE Access, 12. pp. 52641-52658. ISSN 21693536

Abdullah, T.A.A. and Zahid, M.S.M. and Ali, W. and Hassan, S.U. (2023) B-LIME: An Improvement of LIME for Interpretable Deep Learning Classification of Cardiac Arrhythmia from ECG Signals. Processes, 11 (2).

Ahmed, A.A. and Ali, W. and Abdullah, T.A.A. and Malebary, S.J. (2023) Classifying Cardiac Arrhythmia from ECG Signal Using 1D CNN Deep Learning Model. Mathematics, 11 (3).

Hassan, S.U. and Mohd Zahid, M.S. and Abdullah, T.A.A. and Husain, K. (2022) Classification of cardiac arrhythmia using a convolutional neural network and bi-directional long short-term memory. Digital Health, 8. ISSN 20552076

Abdullah, T.A.A. and Zahid, M.S.M. and Ali, W. (2021) A review of interpretable ml in healthcare: Taxonomy, applications, challenges, and future directions. Symmetry, 13 (12). ISSN 20738994

Conference or Workshop Item

Abdullah, T.A.A. and Zahid, M.S.B.M. and Tang, T.B. and Ali, W. and Nasser, M. (2022) Explainable Deep Learning Model for Cardiac Arrhythmia Classification. In: UNSPECIFIED.