Publications
conference
M. T. I. Khondaker, E. M. B. Nagoudi, A. Elmadany, M. A. Mageed, L. V. S. Lakshmanan, "A Benchmark Study of Contrastive Learning for Arabic Social Meaning". The Seventh Arabic Natural Language Processing Workshop at EMNLP (WANLP 2022).
J. Y. Khan, M. T. I. Khondaker, G. Uddin, and A. Iqbal, "Automatic Detection of Five API Documentation Smells: Practitioners’ Perspectives." in Proceedings of the 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021).
Journal
M. T. I. Khondaker, J. Y. Khan, T. Alam, and M. S. Rahman, "Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner" in IEEE Access, vol. 8, pp. 162322-162334, 2020, doi: 10.1109/ACCESS.2020.3021658.
J. Y. Khan, M. T. I. Khondaker, I. T. Hoque, H. R. H. Al-Absi, M. S. Rahman, R. Guler, T. Alam, M. S. Rahman, "Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach". JMIR Medical Informatics. 2020 Sep. DOI: 10.2196/21648. [COVID-19Base Website]
M. T. I. Khondaker, J. Y. Khan, M. A. Refaee, N. E. Hajj, M. S. Rahman, T. Alam, "Obesity in Qatar: A Case-Control Study on the Identification of Associated Risk Factors". Diagnostics 2020, 10, 883.
J. Y. Khan*, M. T. I. Khondaker*, S. Afroz, G. Uddin, and, A. Iqbal, "A Benchmark Study of Machine Learning Models for Online Fake News Detection". Machine Learning with Applications, vol. 4, 100032, 2021, doi: 10.1016/j.mlwa.2021.100032.
*Equal Contributions