| Feature selection: a literature review V Kumar, S Minz SmartCR 4 (3), 211-229, 2014 | 663 | 2014 |
| Rice plant disease classification using transfer learning of deep convolution neural network VK Shrivastava, MK Pradhan, S Minz, MP Thakur The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 178 | 2019 |
| Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification V Kumar, S Minz Knowledge and Information Systems 49, 1-59, 2016 | 64 | 2016 |
| Multi-objective particle swarm optimization: an introduction V Kumar, S Minz SmartCR 4 (5), 335-353, 2014 | 49 | 2014 |
| Rough set based decision tree model for classification S Minz, R Jain Data Warehousing and Knowledge Discovery: 5th International Conference …, 2003 | 43 | 2003 |
| Mood classifiaction of lyrics using SentiWordNet V Kumar, S Minz 2013 international conference on computer communication and informatics, 1-5, 2013 | 33 | 2013 |
| Machine learning for forewarning crop diseases. J Rajni, M Sonajharia, V Ramasubramanian Journal of the Indian society of Agricultural Statistics 63 (1), 97-107, 2009 | 33 | 2009 |
| Poem classification using machine learning approach V Kumar, S Minz Proceedings of the Second International Conference on Soft Computing for …, 2014 | 23 | 2014 |
| Discretization using clustering and rough set theory GK Singh, S Minz 2007 International Conference on Computing: Theory and Applications (ICCTA …, 2007 | 20 | 2007 |
| Multi-view ensemble learning for poem data classification using SentiWordNet V Kumar, S Minz Advanced Computing, Networking and Informatics-Volume 1: Advanced Computing …, 2014 | 18 | 2014 |
| Granulation-based self-training for the semi-supervised classification of remote-sensing images PSS Aydav, S Minz Granular Computing 5, 309-327, 2020 | 16 | 2020 |
| Multi-view ensemble learning: a supervised feature set partitioning for high dimensional data classification V Kumar, S Minz Proceedings of the Third International Symposium on Women in Computing and …, 2015 | 16 | 2015 |
| Change detection using unsupervised learning algorithms for Delhi, India HK Aggarwal, S Minz Asian Journal of Geoinformatics 13 (4), 2014 | 14 | 2014 |
| Conflict graph based channel allocation in cognitive radio networks V Teotia, V Kumar, S Minz 2015 IEEE 34th Symposium on Reliable Distributed Systems Workshop (SRDSW), 52-56, 2015 | 13 | 2015 |
| Effective context-aware recommendations based on context weighting using genetic algorithm and alleviating data sparsity S Linda, S Minz, KK Bharadwaj Applied Artificial Intelligence 34 (10), 730-753, 2020 | 12 | 2020 |
| Link prediction in signed social networks based on fuzzy computational model of trust and distrust N Girdhar, S Minz, KK Bharadwaj Soft Computing 23, 12123-12138, 2019 | 12 | 2019 |
| Rough-set based hotspot detection in spatial data MS Tabarej, S Minz Advances in Computing and Data Sciences: Third International Conference …, 2019 | 12 | 2019 |
| Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques S Linda, S Minz, KK Bharadwaj Ai Communications 32 (2), 125-141, 2019 | 12 | 2019 |
| Refining decision tree classifiers using rough set tools S Minz, R Jain International Journal of Hybrid Intelligent Systems 2 (2), 133-148, 2005 | 12 | 2005 |
| A kernel-based extreme learning machine framework for classification of hyperspectral images using active learning MK Pradhan, S Minz, VK Shrivastava Journal of the Indian Society of Remote Sensing 47, 1693-1705, 2019 | 11 | 2019 |
Dr. Vipin KumarMahatma Gandhi Central University, Bihar在 jnu.ac.in 的电子邮件经过验证
