Sonajharia Minz

According to our database, Sonajharia Minz authored at least 33 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Granular computing based segmentation and textural analysis (GrCSTA) framework for object-based LULC classification of fused remote sensing images.

Greetta Pinheiro, Sonajharia Minz

Appl. Intell., April, 2024

Rough-graph-based hotspot detection of polygon vector data.

Mohd Shamsh Tabarej, Sonajharia Minz

Multim. Tools Appl., February, 2024

2022

Multi-view ensemble learning using multi-objective particle swarm optimization for high dimensional data classification.

Vipin Kumar, Prem Shankar Singh Aydav, Sonajharia Minz

J. King Saud Univ. Comput. Inf. Sci., 2022

Self-adaptive-deer hunting optimization-based optimal weighted features and hybrid classifier for automated disease detection in plant leaves.

Kalicharan Sahu, Sonajharia Minz

Expert Syst. J. Knowl. Eng., 2022

Implementation of Optimal Leaf Feature Selection-Based Plant Leaf Disease Classification Framework with RNN+GRU Technique.

Kalicharan Sahu, Sonajharia Minz

Proceedings of the Advanced Communication and Intelligent Systems, 2022

2021

Circle-based Group Recommendation in Social Networks.

Nirmal Choudhary, Sonajharia Minz, Kamal Kant Bharadwaj

Soft Comput., 2021

A Scalable Unsupervised Classification Method Using Rough Set for Remote Sensing Imagery.

Aditya Raj, Sonajharia Minz

Int. J. Softw. Sci. Comput. Intell., 2021

2020

Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust.

Nirmal Choudhary, Sonajharia Minz, Kamal Kant Bharadwaj

Multim. Tools Appl., 2020

Group Recommender Systems - An Evolutionary Approach Based on Multi-expert System for Consensus.

Ritu Meena, Sonajharia Minz

J. Intell. Syst., 2020

Game Theory Based Pixel Approximation for Remote Sensing Imagery.

Aditya Raj, Sonajharia Minz

Appl. Soft Comput., 2020

Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity.

Sonal Linda, Sonajharia Minz, Kamal Kant Bharadwaj

Appl. Artif. Intell., 2020

2019

Link prediction in signed social networks based on fuzzy computational model of trust and distrust.

Nancy Girdhar, Sonajharia Minz, Kamal Kant Bharadwaj

Soft Comput., 2019

Fast active learning for hyperspectral image classification using extreme learning machine.

Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava

IET Image Process., 2019

Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques.

Sonal Linda, Sonajharia Minz, Kamal Kant Bharadwaj

AI Commun., 2019

Rough-Set Based Hotspot Detection in Spatial Data.

Mohd Shamsh Tabarej, Sonajharia Minz

Proceedings of the Advances in Computing and Data Sciences, 2019

2018

Fisher discriminant ratio based multiview active learning for the classification of remote sensing images.

Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava

Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018

2017

CCRA: channel criticality based resource allocation in cognitive radio networks.

Vinesh Kumar, Sonajharia Minz

Int. J. Commun. Syst., 2017

2016

Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification.

Vipin Kumar, Sonajharia Minz

Knowl. Inf. Syst., 2016

Performance analysis of cognitive radio networks under spectrum sharing using queuing approach.

Vinesh Kumar, Sonajharia Minz, Vipin Kumar

Comput. Electr. Eng., 2016

2015

Multi-view Ensemble Learning: A Supervised Feature Set Partitioning for High Dimensional Data Classification.

Vipin Kumar, Sonajharia Minz

Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

Conflict Graph Based Channel Allocation in Cognitive Radio Networks.

Vinesh Teotia, Vipin Kumar, Sonajharia Minz

Proceedings of the 34th IEEE Symposium on Reliable Distributed Systems Workshop, 2015

Binarizing Change for Fast Trend Similarity Based Clustering of Time Series Data.

Ibrahim K. A. Abughali, Sonajharia Minz

Proceedings of the Pattern Recognition and Machine Intelligence, 2015

2014

Multi-Objective Particle Swarm Optimization: An Introduction.

Vipin Kumar, Sonajharia Minz

Smart Comput. Rev., 2014

Feature Selection: A literature Review.

Vipin Kumar, Sonajharia Minz

Smart Comput. Rev., 2014

2012

Poem Classification Using Machine Learning Approach.

Vipin Kumar, Sonajharia Minz

Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

2008

Improving Multi-agent Evolutionary Techniques with Local Search for Job Shop Scheduling Problem.

Ahmad Balid, Sonajharia Minz

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2008

2007

Discretization Using Clustering and Rough Set Theory.

Girish Kumar Singh, Sonajharia Minz

Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2005

Refining decision tree classifiers using rough set tools .

Sonajharia Minz, Rajni Jain

Int. J. Hybrid Intell. Syst., 2005

Dynamic RDT Model for Data Mining.

Rajni Jain, Sonajharia Minz

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

2003

Should Decision Trees be Learned using Rough Sets?

Rajni Jain, Sonajharia Minz

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Classifying Mushrooms in the Hybridized Rough Sets Framework.

Rajni Jain, Sonajharia Minz

Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003

Hybridized Rough Set Framework for Classification: An Experimental View.

Sonajharia Minz, Rajni Jain

Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Rough Set Based Decision Tree Model for Classification.

Sonajharia Minz, Rajni Jain

Proceedings of the Data Warehousing and Knowledge Discovery, 5th International Conference, 2003