DeepRace: Finding Data Race Bugs via Deep Learning. - Ali Tehrani Jamsaz; Mohammed Khaleel; Reza Akbari; Ali Jannesari (CoRR, 2019)

A Framework for Deep Quantification Learning. - Lei Qi; Mohammed Khaleel; Wallapak Tavanapong; Adisak Sukul; David A. M. Peterson (ECML/PKDD (1), 2020)

Hierarchical Visual Concept Interpretation for Medical Image Classification. - Mohammed Khaleel; Wallapak Tavanapong; Johnny Wong 001; Jung-Hwan Oh 001; Piet C. de Groen (CBMS, 2021)

DeepRace: A learning-based data race detector. - Ali Tehrani Jamsaz; Mohammed Khaleel; Reza Akbari; Ali Jannesari (ICST Workshops, 2021)

Training Strategy for Limited Labeled Data by Learning from Confusion. - Azeez Idris; Mohammed Khaleel; Wallapak Tavanapong; Jung-Hwan Oh 001; Piet C. de Groen (ICIP, 2022)

IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models. - Mohammed Khaleel; Lei Qi; Wallapak Tavanapong; Johnny Wong 001; Adisak Sukul; David A. M. Peterson (J. Big Data, 2022)

Artificial Intelligence for Colonoscopy: Past, Present, and Future. - Wallapak Tavanapong; Jung-Hwan Oh 001; Michael A. Riegler; Mohammed Khaleel; Bhuvan Mittal; Piet C. de Groen (IEEE J. Biomed. Health Informatics, 2022)

Interpreting Deep Text Quantification Models. - YunQi Bang; Mohammed Khaleel; Wallapak Tavanapong (DEXA (2), 2023)

Development and deployment of Computer-aided Real-Time feedback for improving quality of colonoscopy in a Multi-Center clinical trial. - Wallapak Tavanapong; Jacob Pratt; Jung-Hwan Oh 001; Mohammed Khaleel; Johnny S. Wong; Piet C. de Groen (Biomed. Signal Process. Control., 2023)

VisActive: Visual-concept-based Active Learning for Image Classification under Class Imbalance. - Mohammed Khaleel; Azeez Idris; Wallapak Tavanapong; Jacob Pratt; Jung-Hwan Oh 001; Piet C. de Groen (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Synthesized Image Training Techniques: On Improving Model Performance Using Confusion. - Azeez Idris; Mohammed Khaleel; Wallapak Tavanapong; Piet C. de Groen (ACM Trans. Multim. Comput. Commun. Appl., 2025)