Rice diseases classification using feature selection and rule generation techniques S Phadikar, J Sil, AK Das Computers and electronics in agriculture 90, 76-85, 2013 | 266 | 2013 |
Classification of rice leaf diseases based on morphological changes S Phadikar, J Sil, AK Das International Journal of Information and Electronics Engineering 2 (3), 460-463, 2012 | 226 | 2012 |
Ensemble feature selection using bi-objective genetic algorithm AK Das, S Das, A Ghosh Knowledge-Based Systems 123, 116-127, 2017 | 168 | 2017 |
Graph-based text summarization using modified TextRank C Mallick, AK Das, M Dutta, AK Das, A Sarkar Soft Computing in Data Analytics: Proceedings of International Conference on …, 2019 | 152 | 2019 |
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 |
Sparsity measure of a network graph: Gini index S Goswami, CA Murthy, AK Das Information Sciences 462, 16-39, 2018 | 71 | 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 | 71 | 2017 |
A survey on rice plant disease identification using image processing and data mining techniques T Bera, A Das, J Sil, AK Das Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019 | 60 | 2019 |
Ensemble algorithms for microblog summarization S Dutta, V Chandra, K Mehra, AK Das, T Chakraborty, S Ghosh IEEE Intelligent Systems 33 (3), 4-14, 2018 | 48 | 2018 |
A switched parameter differential evolution with optional blending crossover for scalable numerical optimization A Ghosh, S Das, SS Mullick, R Mallipeddi, AK Das Applied Soft Computing 57, 329-352, 2017 | 45 | 2017 |
A graph based clustering technique for tweet summarization S Dutta, S Ghatak, M Roy, S Ghosh, AK Das 2015 4th international conference on reliability, infocom technologies and …, 2015 | 45 | 2015 |
Attribute selection for improving spam classification in online social networks: a rough set theory-based approach S Dutta, S Ghatak, R Dey, AK Das, S Ghosh Social Network Analysis and Mining 8 (1), 1-16, 2018 | 41 | 2018 |
Reusing the past difference vectors in differential evolution—A simple but significant improvement A Ghosh, S Das, AK Das, L Gao IEEE transactions on cybernetics 50 (11), 4821-4834, 2019 | 40 | 2019 |
graph based clustering of extracted paraphrases for labelling crime reports PDAK Das Knowledge-Based Systems, 2019 | 40 | 2019 |
A modified differential evolution with distance-based selection for continuous optimization in presence of noise A Ghosh, S Das, R Mallipeddi, AK Das, SS Dash IEEE Access 5, 26944-26964, 2017 | 37 | 2017 |
Summarizing microblogs during emergency events: A comparison of extractive summarization algorithms S Dutta, V Chandra, K Mehra, S Ghatak, AK Das, S Ghosh Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019 | 36 | 2019 |
A Graph Based Clustering Approach for Relation Extraction From Crime Data P Das, AK Das, J Nayak, D Pelusi, W Ding IEEE Access 7, 101269-101282, 2019 | 33 | 2019 |
Missing value estimation for microarray data through cluster analysis SK Pati, AK Das Knowledge and Information Systems 52, 709-750, 2017 | 33 | 2017 |
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers A Ghosh, SS Mullick, S Datta, S Das, AK Das, R Mallipeddi Pattern Recognition 122, 108279, 2022 | 32 | 2022 |
An unsupervised fuzzy clustering approach for early screening of COVID-19 from radiological images W Ding, S Chakraborty, K Mali, S Chatterjee, J Nayak, AK Das, ... IEEE Transactions on Fuzzy Systems 30 (8), 2902-2914, 2021 | 30 | 2021 |