Sonajharia Minz
Sonajharia Minz
School of Computer & Systems Sciences, Jawaharlal Nehru Unviersity
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Feature selection: a literature review
V Kumar, S Minz
SmartCR 4 (3), 211-229, 2014
Rice plant disease classification using transfer learning of deep convolution neural network
VK Shrivastava, MK Pradhan, S Minz, MP Thakur
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 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), 1-59, 2016
Multi-objective particle swarm optimization: an introduction
V Kumar, S Minz
SmartCR 4 (5), 335-353, 2014
Rough set based decision tree model for classification
S Minz, R Jain
International Conference on Data Warehousing and Knowledge Discovery, 172-181, 2003
Mood classifiaction of lyrics using SentiWordNet
V Kumar, S Minz
2013 International Conference on Computer Communication and Informatics, 1-5, 2013
Machine learning for forewarning crop diseases
R Jain, S Minz, V Ramasubramanian
J Ind Soc Agril Stat 63 (1), 97-107, 2009
Poem classification using machine learning approach
V Kumar, S Minz
Proceedings of the Second International Conference on Soft Computing for …, 2014
Discretization using clustering and rough set theory
GK Singh, S Minz
2007 International Conference on Computing: Theory and Applications (ICCTA …, 2007
Multi-view ensemble learning for poem data classification using SentiWordNet
V Kumar, S Minz
Advanced Computing, Networking and Informatics-Volume 1, 57-66, 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
Refining decision tree classifiers using rough set tools
S Minz, R Jain
International Journal of Hybrid Intelligent Systems 2 (2), 133-148, 2005
Change detection using unsupervised learning algorithms for Delhi, India
HK Aggarwal, S Minz
Asian Journal of Geoinformatics 13 (4), 2014
Performance analysis of cognitive radio networks under spectrum sharing using queuing approach
V Kumar, S Minz, V Kumar
Computers & Electrical Engineering 52, 390-398, 2016
Granulation-based self-training for the semi-supervised classification of remote-sensing images
PSS Aydav, S Minz
Granular Computing 5 (3), 309-327, 2020
Modified self-learning with clustering for the classification of remote sensing images
PSS Aydav, S Minz
Procedia Computer Science 58, 97-104, 2015
Binarizing change for fast trend similarity based clustering of time series data
IKA Abughali, S Minz
International Conference on Pattern Recognition and Machine Intelligence …, 2015
Classifying Mushrooms in the Hybridized Rough Sets Framework.
R Jain, S Minz
IICAI, 554-567, 2003
Fast active learning for hyperspectral image classification using extreme learning machine
MK Pradhan, S Minz, VK Shrivastava
IET Image Processing 13 (4), 549-555, 2019
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
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