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