| A group incremental feature selection for classification using rough set theory based genetic algorithm AK Das, S Sengupta, S Bhattacharyya Applied Soft Computing 65, 400-411, 2018 | 152 | 2018 |
| Particle Swarm Optimization based incremental classifier design for rice disease prediction S Sengupta, AK Das Computers and Electronics in Agriculture 140, 443-451, 2017 | 70 | 2017 |
| The prevalence of abnormal ECG in trained sportsmen VK Malhotra, N Singh, RS Bishnoi, DS Chadha, P Bhardwaj, H Madan, ... medical journal armed forces india 71 (4), 324-329, 2015 | 29 | 2015 |
| Dimension reduction using clustering algorithm and rough set theory S Sengupta, AK Das International conference on swarm, evolutionary, and memetic computing, 705-712, 2012 | 16 | 2012 |
| Feature extraction and disease prediction from paddy crops using data mining techniques S Das, S Sengupta Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2020 …, 2020 | 11 | 2020 |
| A study on rough set theory based dynamic reduct for classification system optimization S Sengupta, AK Das International Journal of Artificial Intelligence & Applications 5 (4), 35, 2014 | 8 | 2014 |
| Formation of a compact reduct set based on discernibility relation and attribute dependency of rough set theory AK Das, S Chakrabarty, S Sengupta Wireless Networks and Computational Intelligence: 6th International …, 2012 | 8 | 2012 |
| A profile of adolescent girls with gynecological problems R Dutta, S Sengupta J Obstet Gynecol India 55, 353-5, 2005 | 5 | 2005 |
| Development of rough-TOPSIS algorithm as hybrid MCDM and its implementation to predict diabetes S Sengupta, D Datta, SS Rajest, P Paramasivan, T Shynu, R Regin International Journal of Bioinformatics Research and Applications 19 (4 …, 2023 | 4 | 2023 |
| Feature selection using graph-based clustering for rice disease prediction A Das, R Dutta, S Das, S Sengupta Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020 | 4 | 2020 |
| Reduct Generation by Formation of Directed Minimal Spanning Tree using Rough Set Theory AK Das, S Sengupta, S Chakrabarty Proceedings of the International Conference on Information Systems Design …, 2012 | 4 | 2012 |
| Development of a rice plant disease classification model in big data environment S Sengupta, A Dutta, SAM Abdelmohsen, HA Alyousef, M Rahimi-Gorji Bioengineering 9 (12), 758, 2022 | 3 | 2022 |
| An approach to development of an ensemble classification system S Sengupta, AK Das 2016 Second International Conference on Research in Computational …, 2016 | 3 | 2016 |
| Single reduct generation based on relative indiscernibility of rough set theory S Sengupta, AK Das arXiv preprint arXiv:1203.3170, 2012 | 3 | 2012 |
| Single Reduct Generation by Attribute Similarity Measurement Based on Relative Indiscernibility S Sengupta, AK Das Advances in Computer Science and Information Technology. Computer Science …, 2012 | 2 | 2012 |
| Designing a Rough-PSO–Based COVID-19 Prediction Model S Sengupta, S Pyne, S Chattopadhyay Designing Intelligent Healthcare Systems, Products, and Services Using …, 2022 | 1 | 2022 |
| Feature Selection Using Louvain Clustering Algorithm for Rice Disease Prediction S Das, S Sengupta, P Das Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2021 …, 2022 | 1 | 2022 |
| Design of an intelligent system for diabetes prediction by integrating rough set theory and genetic algorithm S Sengupta, KR Pal, V Garg Designing Intelligent Healthcare Systems, Products, and Services Using …, 2022 | | 2022 |
| Design of an Intelligent Diabetes Prediction Model in Big Data Environment S Sengupta, K Ranjan Pal Proceedings of Trends in Electronics and Health Informatics: TEHI 2021, 151-163, 2022 | | 2022 |
| Development of a Rice Plant Disease Classification Model in Big Data Environment. Bioengineering 2022, 9, 758 S Sengupta, A Dutta, SAM Abdelmohsen, HA Alyousef, M Rahimi-Gorji s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
