Research Area
Machine Learning (Data Streams)
Research Plan
Developing state-of-the-art data stream processing algorithms in resource-constrained environments
Publication:
Journal- Jerry W. Sangma, Mekhla Sarkar, Vipin Pal, Amit Agrawal and Yogita. "Hierarchical clustering for multiple nominal data streams with evolving behaviour." Complex & Intelligent Systems (2022): 1-25.
- Yogita, Jerry W. Sangma, S. R. Ngamwal Anal and Vipin Pal. "Clustering-based hybrid approach for identifying quantitative multi-dimensional associations between patient Attributes, drugs and adverse drug reactions." Interdisciplinary Sciences: Computational Life Sciences 12.3 (2020): 237-251.
Conference
- Pranab Das, Jerry W. Sangma, Vipin Pal and Yogita. "Predicting Adverse Drug Reactions from Drug Functions by Binary Relevance Multi-label Classification and MLSMOTE." International Conference on Practical Applications of Computational Biology & Bioinformatics. Springer, Cham, 2021.
- Upasana Chutia, Jerry W. Sangma, Vipin Pal and Yogita. "Data-driven extraction of quantitative multi-dimensional associations of cardiovascular drugs and adverse drug reactions." International Conference on Practical Applications of Computational Biology & Bioinformatics. Springer, Cham, 2019.
