Mohammed Khaleel

11 papers B 2Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Synthesized Image Training Techniques: On Improving Model Performance Using Confusion.
ACM Trans. Multim. Comput. Commun. Appl.
Azeez Idris, Mohammed Khaleel, Wallapak Tavanapong, Piet C. de Groen
2024 J jnl
VisActive: Visual-concept-based Active Learning for Image Classification under Class Imbalance.
ACM Trans. Multim. Comput. Commun. Appl.
Mohammed Khaleel, Azeez Idris, Wallapak Tavanapong, Jacob Pratt, Jung-Hwan Oh, Piet C. de Groen
2023 J jnl
Development and deployment of Computer-aided Real-Time feedback for improving quality of colonoscopy in a Multi-Center clinical trial.
Biomed. Signal Process. Control.
Wallapak Tavanapong, Jacob Pratt, Jung-Hwan Oh, Mohammed Khaleel, Johnny S. Wong, Piet C. de Groen
2023 — conf
Interpreting Deep Text Quantification Models.
DEXA (2)
YunQi Bang, Mohammed Khaleel, Wallapak Tavanapong
2022 J jnl
Artificial Intelligence for Colonoscopy: Past, Present, and Future.
IEEE J. Biomed. Health Informatics
Wallapak Tavanapong, Jung-Hwan Oh, Michael A. Riegler, Mohammed Khaleel, Bhuvan Mittal, Piet C. de Groen
2022 J jnl
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models.
J. Big Data
Mohammed Khaleel, Lei Qi, Wallapak Tavanapong, Johnny Wong, Adisak Sukul, David A. M. Peterson
2022 B conf
Training Strategy for Limited Labeled Data by Learning from Confusion.
ICIP
Azeez Idris, Mohammed Khaleel, Wallapak Tavanapong, Jung-Hwan Oh, Piet C. de Groen
2021 — conf
DeepRace: A learning-based data race detector.
ICST Workshops
Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari
2021 B conf
Hierarchical Visual Concept Interpretation for Medical Image Classification.
CBMS
Mohammed Khaleel, Wallapak Tavanapong, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen
2020 — conf
A Framework for Deep Quantification Learning.
ECML/PKDD (1)
Lei Qi, Mohammed Khaleel, Wallapak Tavanapong, Adisak Sukul, David A. M. Peterson
2019 J jnl
DeepRace: Finding Data Race Bugs via Deep Learning.
CoRR
Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari