| Remote sensing scene classification under scarcity of labelled samples—A survey of the state-of-the-arts S Dutta, M Das Computers & Geosciences 171, 105295, 2023 | 23 | 2023 |
| Toward Causality-Based Explanation of Aerial Scene Classifiers S Dutta, M Das, U Maulik IEEE Geoscience and Remote Sensing Letters 21, 1-5, 2023 | 3 | 2023 |
| PReLim: A modeling paradigm for remote sensing image scene classification under limited labeled samples S Dutta, M Das International Conference on Pattern Recognition and Machine Intelligence …, 2021 | 3 | 2021 |
| An autonomous lightweight model for aerial scene classification under labeled sample scarcity S Dutta, M Das Applied Intelligence 53 (19), 22216-22227, 2023 | 1 | 2023 |
| Lightweight deep learning models for aerial scene classification: A comprehensive survey S Dutta, M Das, U Maulik Engineering Applications of Artificial Intelligence 142, 109859, 2025 | | 2025 |
| GrapHiSM: a graph-based hierarchical semantics-driven model for aerial scene classification under scarcity of labelled samples M Das, S Dutta Applied Intelligence 53 (21), 25919-25930, 2023 | | 2023 |
| SELFIE: A Semantically-Enhanced Load Forecasting Approach with Indirect Estimate of Spatial Influences M Das, S Dutta TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 687-692, 2021 | | 2021 |
| Dataset Annotation on Chronic Disease Comorbidities Study in Type 2 Diabetes Mellitus S Dutta, S Mukherjee, S Jana, M Nag, S Majumdar Proceedings of International Conference on Machine Intelligence and Data …, 2021 | | 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 S Dutta, G Goyal, S majumdar, S Nag, Medha, Mukherjee International Journal of Medical Engineering and Informatics, 0 | | |
