Suparna Dutta

Journal Publications

1. Dutta, Suparna, Monidipa Das, and Ujjwal Maulik. “Lightweight deep learning models for aerial scene classification: A comprehensive survey.” Engineering Applications of Artificial Intelligence 142 (2025): 109859
2. Dutta, Suparna, Monidipa Das, and Ujjwal Maulik. “Toward Causality-Based Explanation of Aerial Scene Classifiers.” IEEE Geoscience and Remote Sensing Letters 21 (2023): 1-5.
3. Dutta, S., Das, M. (2023). An autonomous lightweight model for aerial scene classification under labeled sample scarcity. Appl Intell.
4. Dutta, S., Das, M. (2023). Remote sensing scene classification under scarcity of labelled samples—a survey of the state-of-the-arts. Computers Geosciences, 171, 105295.
5. Dutta, S., Mukherjee, S., Nag, M., Majumdar, S., & Goyal, G. (2021). Risk stratification of cardiovascular disease in type 2 diabetes using lda and cnn for clinical decision management – a multi-centre study in eastern India. International-Journal-of-Medical-Engineering-and-Informatics-1755-0661. doi:10.1504/IJMEI.2021.10043803.

Conference Publications

1. Das, M., Dutta, S., “SELFIE: A Semantically-Enhanced Load Forecasting Approach with Indirect Estimate of Spatial Influences,” TENCON 2021 – 2021 IEEE Region 10 Conference (TENCON), Auckland, New Zealand, 2021, pp. 687-692.
2. Dutta, S.,  Das, M. (2021). PReLim: A modeling paradigm for remote sensing image scene classification under limited labeled samples. In 9th international conference on pattern recognition and machine intelligence, December 2021, Kolkata, India, Springer.
3. Dutta, S., Mukherjee, S., Jana, S., Nag, M., & Majumdar, S. (2021). Dataset annotation on chronic disease comorbidities study in type 2 diabetes mellitus. In Proceedings of international conference on machine intelligence and data science applications (pp. 713–725). Springer.