| Ensemble Learning Approach to Motor Imagery EEG Signal Classification R Chatterjee, A Datta, DK Sanyal Machine Learning in Bio-Signal Analysis and Diagnostic Imaging, 183-208, 2019 | 53 | 2019 |
| Comparative study of different ensemble compositions in eeg signal classification problem A Datta, R Chatterjee Emerging Technologies in Data Mining and Information Security, 145-154, 2019 | 29 | 2019 |
| An ensemble classification approach to motor-imagery brain state discrimination problem A Datta, R Chatterjee, DK Sanyal, D Guha 2017 International Conference on Infocom Technologies and Unmanned Systems …, 2017 | 11 | 2017 |
| An object detection-based few-shot learning approach for multimedia quality assessment R Chatterjee, A Chatterjee, SK Islam, MK Khan Multimedia Systems, 1-14, 2022 | 8 | 2022 |
| An Efficient Pneumonia Detection from the Chest X-Ray Images R Chatterjee, A Chatterjee, R Halder Proceedings of International Conference on Machine Intelligence and Data …, 2021 | 5 | 2021 |
| Deep learning techniques for observing the impact of the global warming from satellite images of water-bodies R Chatterjee, A Chatterjee, SK Islam Multimedia Tools and Applications, 1-16, 2022 | 4 | 2022 |
| Impact of Deep Learning on Arts and Archaeology: An Image Classification Point of View R Chatterjee, A Chatterjee, R Halder Proceedings of International Conference on Machine Intelligence and Data …, 2021 | 2 | 2021 |
| Fuzzy-Discernibility Matrix-based Efficient Feature Selection Techniques for Improved Motor-Imagery EEG Signal Classification R Chatterjee, DK Sanyal, A Chatterjee bioRxiv, 2021 | 1 | 2021 |
| Diversity Matrix Based Performance Improvement for Ensemble Learning Approach R Chatterjee, S Chatterjee, A Datta, DK Sanyal Hybrid Computational Intelligence: Research and Applications, 195, 2019 | | 2019 |
| Impact of Deep Learning on Arts and Archaeology: An Image Classification R Chatterjee, A Chatterjee, R Halder | | |
Debarshi Kumar SanyalAssistant Professor, Indian Association for the Cultivation of ScienceVerified email at iacs.res.in
