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Sonajharia Minz
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2020 – today
- 2024
- [j19]Greetta Pinheiro
, Sonajharia Minz:
Granular computing based segmentation and textural analysis (GrCSTA) framework for object-based LULC classification of fused remote sensing images. Appl. Intell. 54(7): 5748-5767 (2024) - [j18]Mohd Shamsh Tabarej
Rough-graph-based hotspot detection of polygon vector data. Multim. Tools Appl. 83(6): 16683-16710 (2024) - 2022
- [j17]Kalicharan Sahu
Self-adaptive-deer hunting optimization-based optimal weighted features and hybrid classifier for automated disease detection in plant leaves. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j16]Vipin Kumar, Prem Shankar Singh Aydav, Sonajharia Minz:
Multi-view ensemble learning using multi-objective particle swarm optimization for high dimensional data classification. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8523-8537 (2022) - [c14]Kalicharan Sahu, Sonajharia Minz:
Implementation of Optimal Leaf Feature Selection-Based Plant Leaf Disease Classification Framework with RNN+GRU Technique. ICACIS 2022: 576-592 - 2021
- [j15]Aditya Raj
A Scalable Unsupervised Classification Method Using Rough Set for Remote Sensing Imagery. Int. J. Softw. Sci. Comput. Intell. 13(2): 65-88 (2021) - [j14]Nirmal Choudhary, Sonajharia Minz, Kamal Kant Bharadwaj:
Circle-based Group Recommendation in Social Networks. Soft Comput. 25(22): 13959-13973 (2021) - 2020
- [j13]Sonal Linda, Sonajharia Minz, Kamal Kant Bharadwaj:
Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity. Appl. Artif. Intell. 34(10): 730-753 (2020) - [j12]Aditya Raj
Game Theory Based Pixel Approximation for Remote Sensing Imagery. Appl. Soft Comput. 93: 106365 (2020) - [j11]Ritu Meena, Sonajharia Minz:
Group Recommender Systems - An Evolutionary Approach Based on Multi-expert System for Consensus. J. Intell. Syst. 29(1): 1092-1108 (2020) - [j10]Nirmal Choudhary, Sonajharia Minz, Kamal Kant Bharadwaj:
Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust. Multim. Tools Appl. 79(37-38): 27337-27364 (2020)
2010 – 2019
- 2019
- [j9]Sonal Linda, Sonajharia Minz, Kamal Kant Bharadwaj:
Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques. AI Commun. 32(2): 125-141 (2019) - [j8]Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava
Fast active learning for hyperspectral image classification using extreme learning machine. IET Image Process. 13(4): 549-555 (2019) - [j7]Nancy Girdhar
Link prediction in signed social networks based on fuzzy computational model of trust and distrust. Soft Comput. 23(22): 12123-12138 (2019) - [c13]Mohd Shamsh Tabarej
Rough-Set Based Hotspot Detection in Spatial Data. ICACDS (2) 2019: 356-368 - 2018
- [c12]Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava
Fisher discriminant ratio based multiview active learning for the classification of remote sensing images. RAIT 2018: 1-6 - 2017
- [j6]Vinesh Kumar
CCRA: channel criticality based resource allocation in cognitive radio networks. Int. J. Commun. Syst. 30(4) (2017) - 2016
- [j5]Vinesh Kumar
Performance analysis of cognitive radio networks under spectrum sharing using queuing approach. Comput. Electr. Eng. 52: 390-398 (2016) - [j4]Vipin Kumar, Sonajharia Minz
Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification. Knowl. Inf. Syst. 49(1): 1-59 (2016) - 2015
- [c11]Ibrahim K. A. Abughali, Sonajharia Minz
Binarizing Change for Fast Trend Similarity Based Clustering of Time Series Data. PReMI 2015: 257-267 - [c10]Vinesh Teotia, Vipin Kumar, Sonajharia Minz:
Conflict Graph Based Channel Allocation in Cognitive Radio Networks. SRDS Workshop 2015: 52-56 - [c9]Vipin Kumar, Sonajharia Minz
Multi-view Ensemble Learning: A Supervised Feature Set Partitioning for High Dimensional Data Classification. WCI 2015: 31-37 - 2014
- [j3]Vipin Kumar, Sonajharia Minz:
Feature Selection: A literature Review. Smart Comput. Rev. 4(3): 211-229 (2014) - [j2]Vipin Kumar, Sonajharia Minz:
Multi-Objective Particle Swarm Optimization: An Introduction. Smart Comput. Rev. 4(5): 335-353 (2014) - 2012
- [c8]Vipin Kumar, Sonajharia Minz
Poem Classification Using Machine Learning Approach. SocProS 2012: 675-682
2000 – 2009
- 2008
- [c7]Ahmad Balid, Sonajharia Minz
Improving Multi-agent Evolutionary Techniques with Local Search for Job Shop Scheduling Problem. IAT 2008: 516-521 - 2007
- [c6]Girish Kumar Singh
Discretization Using Clustering and Rough Set Theory. ICCTA 2007: 330-336 - 2005
- [j1]Sonajharia Minz, Rajni Jain:
Refining decision tree classifiers using rough set tools . Int. J. Hybrid Intell. Syst. 2(2): 133-148 (2005) - [c5]Rajni Jain, Sonajharia Minz:
Dynamic RDT Model for Data Mining. IICAI 2005: 1334-1344 - 2003
- [c4]Sonajharia Minz, Rajni Jain:
Rough Set Based Decision Tree Model for Classification. DaWaK 2003: 172-181 - [c3]Sonajharia Minz, Rajni Jain:
Hybridized Rough Set Framework for Classification: An Experimental View. HIS 2003: 631-640 - [c2]Rajni Jain, Sonajharia Minz:
Classifying Mushrooms in the Hybridized Rough Sets Framework. IICAI 2003: 554-567 - [c1]Rajni Jain, Sonajharia Minz:
Should Decision Trees be Learned using Rough Sets? IICAI 2003: 1466-1479
Coauthor Index
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