Ensemble feature selection using bi-objective genetic algorithm AK Das, S Das, A Ghosh Knowledge-Based Systems 123, 116-127, 2017 | 158 | 2017 |
Competitive Deep Learning Methods for COVID-19 Detection using X-ray Images JN H. Swapnarekha, H.S. Behera, D. Roy, S. Das Journal of The Institution of Engineers (India): Series B, 2021 | 17 | 2021 |
Disease feature extraction and disease detection from paddy crops using image processing and deep learning technique S Das, D Roy, P Das Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2020 …, 2020 | 17 | 2020 |
Optimal set of overlapping clusters using multi-objective genetic algorithm S Das, S Chaudhuri, AK Das Proceedings of the 9th international conference on machine learning and …, 2017 | 16 | 2017 |
Strength pareto evolutionary algorithm based gene subset selection S Basu, S Das, S Ghatak, AK Das 2017 International Conference on Big Data Analytics and Computational …, 2017 | 12 | 2017 |
A Novel Algorithm to Secure Data in New Generation Health Care System from Cyber Attacks Using IoT A Kavitha, BS Rao, N Akthar, SM Rafi, P Singh, S Das, G Manikandan International Journal of Electrical and Electronics Research (IJEER) 10 (2 …, 2022 | 11 | 2022 |
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 |
Gene selection and decision tree based classification for cancerous sample detection S Das, AK Das International Journal of Biomedical Engineering and Technology 21 (1), 1-14, 2016 | 7 | 2016 |
Quinary prevention in diabetes care: Need for multidisciplinary approach D Dutta, V Arora, A Dhingra, AK Das, M Fariduddin, K Shaikh, G Priya, ... Clinical Epidemiology and Global Health 11, 100757, 2021 | 6 | 2021 |
Feature selection based on bi-objective differential evolution S Das, CC Chang, AK Das, A Ghosh Journal of Computing Science and Engineering 11 (4), 130-141, 2017 | 6 | 2017 |
Cluster analysis for overlapping clusters using genetic algorithm S Das, S Chaudhuri, AK Das 2016 Second International Conference on Research in Computational …, 2016 | 5 | 2016 |
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 |
Evolutionary Algorithm Based Summarization for Analyzing COVID-19 Medical Reports C Mallick, S Das, AK Das Understanding COVID-19: The Role of Computational Intelligence, 31-58, 2021 | 3 | 2021 |
Prostate Cancer: Cancer Detection and Classification using Deep Learning DR Sunanda Das Advanced Machine Learning Approaches in Cancer Prognosis (AMLACP) 204, 375-394, 2021 | 3* | 2021 |
Feature selection using rough set theory from infected rice plant images A Chatterjee, S Roy, S Das Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2020 …, 2020 | 3 | 2020 |
A graph-based approach for feature selection from higher order correlations S Das, AK Das International Journal of Computational Systems Engineering 4 (1), 66-71, 2018 | 3 | 2018 |
Simultaneous Feature Selection and Cluster Analysis using Genetic Algorithm Sunanda Das, Shreya Chaudhuri, Asit K Das ICIT 2016, 288-293, 2016 | 3* | 2016 |
Some ecological considerations of whitefly and whitefly transmitted virus diseases of vegetables in West Bengal. A Verma, D Basu, PS Nath, S Das, SS Ghatak, S Mukhopadhyay | 3 | 1989 |
A bifold approach to detect and classify covid19 xray images and symptom auditor SD Ahan Chatterjee, Swagatam Roy SN Computer Science, Springer 2 (304), 1-14, 2021 | 2* | 2021 |
An approach towards most cancerous gene Selection from microarray data AKD Sunanda Das International Conference on Computational Intelligence in Data Mining …, 2014 | 2* | 2014 |