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ORCIDMd. Asif Khan
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2020 – today
- 2024
[j3]Md. Asif Khan
, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Gkerta Seferi, Qasim Tauseef:
On the Effectiveness of Feature Selection Techniques in the Context of ML-Based Regression Test Prioritization. IEEE Access 12: 131556-131575 (2024)- [j2]Md. Asif Khan, Ryan G. L. Koh, Sajjad Rashidiani, Theodore Liu, Victoria Tucci, Dinesh Kumbhare, Thomas E. Doyle:
Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research. Artif. Intell. Medicine 151: 102849 (2024) - [c9]Md. Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Qasim Tauseef, Gkerta Seferi:
Machine Learning-based Test Case Prioritization using Hyperparameter Optimization. AST@ICSE 2024: 125-135 - [c8]Md. Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Gkerta Seferi, Qasim Tauseef:
An End-to-End Test Case Prioritization Framework using Optimized Machine Learning Models. ICSTW 2024: 1-8 - [c7]Yara Q. Mahmoud, Akramul Azim, Md. Asif Khan:
TCPGraphix: A Visualization Tool for ML-Powered Test Case Prioritization Data Analysis. ICSTW 2024: 318-321 - 2023
- [j1]Ryan G. L. Koh, Md. Asif Khan, Sajjad Rashidiani, Samah Hassan, Victoria Tucci, Theodore Liu, Karlo Nesovic, Dinesh Kumbhare, Thomas E. Doyle:
Check It Before You Wreck It: A Guide to STAR-ML for Screening Machine Learning Reporting in Research. IEEE Access 11: 101567-101579 (2023) - 2022
- [c6]Md. Asif Khan, Ryan G. L. Koh, Samah Hassan, Theodore Liu, Victoria Tucci, Dinesh Kumbhare, Thomas E. Doyle:
STAR-ML: A Rapid Screening Tool for Assessing Reporting of Machine Learning in Research. CCECE 2022: 336-341 - [i1]Thomas E. Doyle, Victoria Tucci, Calvin Zhu, Yifei Zhang, Basem Yassa, Sajjad Rashidiani, Md. Asif Khan, Reza Samavi, Michael D. Noseworthy, Steven J. Yule:
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems. CoRR abs/2210.09086 (2022) - 2021
- [c5]Md. Asif Khan, Akramul Azim, Ramiro Liscano, Kevin Smith, Yee-Kang Chang, Sylvain Garcon, Qasim Tauseef:
Failure prediction using machine learning in IBM WebSphere liberty continuous integration environment. CASCON 2021: 63-72 - [c4]Ryan Clark, Mohammadreza Heydarian, Kashif Siddiqui, Sajjad Rashidiani, Md. Asif Khan, Thomas E. Doyle:
Detecting Cardiac Abnormalities with Multi-Lead ECG Signals: A Modular Network Approach. CinC 2021: 1-4 - [c3]Md. Asif Khan, Tegveer Singh, Akramul Azim, Vivek Burhanpurkar, Rodolphe Perrin:
Dynamic Kalman filter-based velocity tracker for Intelligent vehicle. IECON 2021: 1-6
2010 – 2019
- 2019
- [c2]Md. Asif Khan, Kazi Asfaq Ahmed Ador, Tanzilur Rahman:
Automated Diagnosis of Atrial Fibrillation Using Principal Component Analysis-Discriminant Analysis. TENCON 2019: 2289-2294 - 2018
- [c1]Nazmul Alam Diptu, Md. Asif Khan, Sujit Debnath, Abdullah Al Imam, Al Mahadi Hasan Rakib, Kazi Asfaq Ahmed Ador, Rashedur M. Rahman:
Early Detection of Glaucoma Using Fuzzy Logic in Bangladesh Context. IEEE Conf. on Intelligent Systems 2018: 87-93
Coauthor Index
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last updated on 2024-10-04 21:05 CEST by the dblp team
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