Mohammed Khaleel

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Quantitative Evaluation

Classification Models

Past Observations

Top Venues

ACM Trans. Multim. Comput. Commun. Appl.

Biomed. Signal Process. Control.

Publications

Mohammed Khaleel, Azeez Idris, Wallapak Tavanapong, Jacob Pratt, Jung-Hwan Oh, Piet C. de Groen
VisActive: Visual-concept-based Active Learning for Image Classification under Class Imbalance. ACM Trans. Multim. Comput. Commun. Appl. 20 (3) (2024)
Wallapak Tavanapong, Jacob Pratt, Jung-Hwan Oh, Mohammed Khaleel, Johnny S. Wong, Piet C. de Groen
Development and deployment of Computer-aided Real-Time feedback for improving quality of colonoscopy in a Multi-Center clinical trial. Biomed. Signal Process. Control. 83 (2023)
YunQi Bang, Mohammed Khaleel, Wallapak Tavanapong
Interpreting Deep Text Quantification Models. DEXA (2) (2023)
Azeez Idris, Mohammed Khaleel, Wallapak Tavanapong, JungHwan Oh, Piet C. de Groen
Training Strategy for Limited Labeled Data by Learning from Confusion. ICIP (2022)
Wallapak Tavanapong, Jung-Hwan Oh, Michael A. Riegler, Mohammed Khaleel, Bhuvan Mittal, Piet C. de Groen
Artificial Intelligence for Colonoscopy: Past, Present, and Future. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Mohammed Khaleel, Lei Qi, Wallapak Tavanapong, Johnny Wong, Adisak Sukul, David A. M. Peterson
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models. J. Big Data 9 (1) (2022)
Mohammed Khaleel, Wallapak Tavanapong, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen
Hierarchical Visual Concept Interpretation for Medical Image Classification. CBMS (2021)
Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari
DeepRace: A learning-based data race detector. ICST Workshops (2021)
Lei Qi, Mohammed Khaleel, Wallapak Tavanapong, Adisak Sukul, David A. M. Peterson
A Framework for Deep Quantification Learning. ECML/PKDD (1) (2020)
Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari
DeepRace: Finding Data Race Bugs via Deep Learning. CoRR (2019)