- Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu and Dewan Md Farid, “Machine Learning for Mining Imbalanced Data,” IAENG International Journal of Computer Science, vol. 46, no. 2, pp332-348, 2019, Hong Kong.
- Sabera Hoque, Md Yasir Arafat, Shuxiang Xu, and Ananda Maiti, Ready to submit: A comprehensive review on 3D Object Detection and 6D Pose Estimation with Deep Learning, ”Expert Systems with Applications”.
- Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, Bulbul Ahmed and Dewan Md. Farid, “Advanced Data Balancing Method with SVM Decision Boundary and Bagging, “2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Melbourne, Australia, 2019, pp. 1-7, doi: 10.1109/CSDE48274.2019.9162349.
- Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, and Dewan Md. Farid, “An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification,” 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), Island of Ulkulhas, Maldives, 2019, pp. 1-6, doi: 10.1109/SKIMA47702.2019.8982391.
- Sabera Hoque, Md. Yasir Arafat, and Dewan Md. Farid, “Machine Learning for Mining Imbalanced Data,” International Conference on Emerging Technology in Data Mining and Information Security (IEMIS 2018), February 23-25, 2018, Kolkata, India, pp. 1-10.
- Md. Yasir Arafat, Sabera Hoque, and Dewan Md. Farid, “Cluster-based Under-sampling with Random Forest for Multi-Class Imbalanced Classification,” 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), December 6-8, 2017, Colombo, Sri Lanka, pp. 1-6, and IEEE Xplore Digital Archive, doi: 10.1109/SKIMA.2017.8294105
- Masters thesis book(Cluster-based Under-sampling with Random Forest for Multi-Class Imbalanced Classification)
More in Google Scholar or in My Website.