1. J. W. Sangma, Vipin Pal, Yogita, Gaurav Singal, and Swagatam Das, “Clustering Irregular Data Streams With Fuzzy Induction”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.
2. J. W. Sangma, Y. Rani, V. Pal, N. Kumar, and R. Kushwaha, “FHC-NDS: Fuzzy hierarchical clustering of multiple nominal data streams”, IEEE Transactions on Fuzzy Systems, 2022.
3. J. W. Sangma, M. Sarkar, V. Pal, A. Agrawal, and Yogita, “Hierarchical clustering for multiple nominal data streams with evolving behaviour,” Complex & Intelligent Systems, vol. 8, no. 2, pp. 1737–1761, 2022.
4. Pranab Das, Jerry W. Sangma, Vipin Pal, and Yogita. 2021. Predicting adverse drug reactions from drug functions by binary relevance multi-label classification and MLSMOTE. In Proceedings of the International Conference on Practical Applications of Computational Biology &Bioinformatics. Springer, 165–173.
5. Yogita, Jerry W. Sangma, SR Ngamwal Anal, and Vipin Pal. "Clustering-based hybrid approach for identifying quantitative multidimensional associations between patient Attributes, drugs and adverse drug reactions." Interdisciplinary Sciences: Computational Life Sciences 12 (2020): 237-251.
6. Upasana Chutia, Jerry W. Sangma, Vipin Pal, and Yogita. "Data-driven extraction of quantitative multi-dimensional associations of cardiovascular drugs and adverse drug reactions." In Practical Applications of Computational Biology and Bioinformatics, 13th International Conference, pp. 70-77. Springer International Publishing, 2020.