Mohammed Khaleel

According to our database, Mohammed Khaleel authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VisActive: Visual-concept-based Active Learning for Image Classification under Class Imbalance.

Mohammed Khaleel, Azeez Idris, Wallapak Tavanapong, Jacob Pratt, Jung-Hwan Oh, Piet C. de Groen

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

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, Mohammed Khaleel, Johnny S. Wong, Piet C. de Groen

Biomed. Signal Process. Control., May, 2023

Interpreting Deep Text Quantification Models.

YunQi Bang, Mohammed Khaleel, Wallapak Tavanapong

Proceedings of the Database and Expert Systems Applications, 2023

2022

Artificial Intelligence for Colonoscopy: Past, Present, and Future.

Wallapak Tavanapong, Jung-Hwan Oh, Michael A. Riegler, Mohammed Khaleel, Bhuvan Mittal, Piet C. de Groen

IEEE J. Biomed. Health Informatics, 2022

IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models.

Mohammed Khaleel, Lei Qi, Wallapak Tavanapong, Johnny Wong, Adisak Sukul, David A. M. Peterson

J. Big Data, 2022

Training Strategy for Limited Labeled Data by Learning from Confusion.

Azeez Idris, Mohammed Khaleel, Wallapak Tavanapong, Jung-Hwan Oh, Piet C. de Groen

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

DeepRace: A learning-based data race detector.

Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari

Proceedings of the 14th IEEE International Conference on Software Testing, 2021

Hierarchical Visual Concept Interpretation for Medical Image Classification.

Mohammed Khaleel, Wallapak Tavanapong, Johnny Wong, Jung-Hwan Oh, Piet C. de Groen

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

A Framework for Deep Quantification Learning.

Lei Qi, Mohammed Khaleel, Wallapak Tavanapong, Adisak Sukul, David A. M. Peterson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

DeepRace: Finding Data Race Bugs via Deep Learning.

Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari

CoRR, 2019