Optimizing Spectrum Prediction in Cognitive Radio: Genetic Algorithm-Enhanced Neural Networks and Radial Basis Functions. - Sam Ansari; Antanios Kaissar; Tarek Khater; Khawla A. Alnajjar; Soliman A. Mahmoud; Abir Hussain (DeSE, 2023)

Unveiling the Reliability of ChatGPT Answers in the Biomedical Realm: An Assessment in the. - Hagar Elbatanouny; Tarek Khater; Sam Ansari; Bilal Muhammed Khan; Wasiq Khan; Eqab R. F. Almajali; Dhiya Al-Jumeily; Abir Hussain (DeSE, 2023)

Explainable AI for Breast Cancer Detection: A LIME-Driven Approach. - Tarek Khater; Abir Hussain; Soliman A. Mahmoud; Salwa Yasen (DeSE, 2023)

Deception Detection Deep Learning Comprehensive system Utilizing Explainable AI. - Suhaib Salah; Tarek Khater; Eqab R. F. Almajali; Wasiq Khan; Abir Hussain (DeSE, 2023)

Machine Learning for the Classification of Obesity Levels Based on Lifestyle Factors. - Tarek Khater; Hissam Tawfik; Balbir Singh (ICCBDC, 2023)

Interpretable Models For ML-Based Classification of Obesity. - Tarek Khater; Hissam Tawfik; Sahar Sowdagar; Balbir Singh (ICCBDC, 2023)

A Robust Hybrid Neural Network Architecture for Blind Source Separation of Speech Signals Exploiting Deep Learning. - Sam Ansari; Khawla A. Alnajjar; Tarek Khater; Soliman A. Mahmoud; Abir Hussain (IEEE Access, 2023)

Skin cancer classification using explainable artificial intelligence on pre-extracted image features. - Tarek Khater; Sam Ansari; Soliman A. Mahmoud; Abir Hussain; Hissam Tawfik (Intell. Syst. Appl., 2023)

A survey of artificial intelligence approaches in blind source separation. - Sam Ansari; Abbas Saad Alatrany; Khawla A. Alnajjar; Tarek Khater; Soliman A. Mahmoud; Dhiya Al-Jumeily; Abir Jaafar Hussain (Neurocomputing, 2023)

Predicting ICU Admissions using Interpretable Machine Learning. - Hagar Elbatanouny; Hissam Tawfik; Tarek Khater; Ayad Turky; Abir Hussain (BDCAT, 2024)

Interpretable RNN for Prediction & Understanding of Childhood Obesity: A Scenario from the UK Millennium Cohort Study. - Hissam Tawfik; Balbir Singh; Tarek Khater (ICCBDC, 2024)

Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach. - Tarek Khater; Sam Ansari; Abbas Saad Alatrany; Haya Alaskar; Soliman A. Mahmoud; Ayad Turky; Hissam Tawfik; Eqab R. F. Almajali; Abir Hussain (IEEE Access, 2024)

Explainable artificial intelligence for investigating the effect of lifestyle factors on obesity. - Tarek Khater; Hissam Tawfik; Balbir Singh (Intell. Syst. Appl., 2024)

An Explainable Artificial Intelligence Model for the Classification of Breast Cancer. - Tarek Khater; Abir Hussain; Riyad Bendardaf; Iman M. Talaat; Hissam Tawfik; Sam Ansari; Soliman A. Mahmoud (IEEE Access, 2025)