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Journal Articles
- 2024
[j4]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): 84:1-84:21 (2024)- 2023
- [j3]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: 104609 (2023) - 2022
- [j2]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): 34 (2022) - [j1]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): 3950-3965 (2022)
Conference and Workshop Papers
- 2023
- [c5]YunQi Bang, Mohammed Khaleel, Wallapak Tavanapong:
Interpreting Deep Text Quantification Models. DEXA (2) 2023: 310-324 - 2022
- [c4]Azeez Idris, Mohammed Khaleel, Wallapak Tavanapong, Jung-Hwan Oh, Piet C. de Groen:
Training Strategy for Limited Labeled Data by Learning from Confusion. ICIP 2022: 1926-1930 - 2021
- [c3]Mohammed Khaleel, Wallapak Tavanapong, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen:
Hierarchical Visual Concept Interpretation for Medical Image Classification. CBMS 2021: 25-30 - [c2]Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari:
DeepRace: A learning-based data race detector. ICST Workshops 2021: 226-233 - 2020
- [c1]Lei Qi, Mohammed Khaleel, Wallapak Tavanapong, Adisak Sukul, David A. M. Peterson:
A Framework for Deep Quantification Learning. ECML/PKDD (1) 2020: 232-248
Informal and Other Publications
- 2019
- [i1]Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari:
DeepRace: Finding Data Race Bugs via Deep Learning. CoRR abs/1907.07110 (2019)
Coauthor Index
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