Sonajharia Minz
Orcid: 0000-0002-6227-5144
  According to our database1,
  Sonajharia Minz
  authored at least 35 papers
  between 2003 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
Scene-net framework for remote sensing scene classification using cost-aware focal hinge loss-SVM classifier.
    
  
    Multim. Tools Appl., September, 2025
    
  
  2024
Crop Seeds Classification Using Traditional Machine Learning and Deep Learning Techniques: A Comprehensive Survey.
    
  
    SN Comput. Sci., December, 2024
    
  
Granular computing based segmentation and textural analysis (GrCSTA) framework for object-based LULC classification of fused remote sensing images.
    
  
    Appl. Intell., April, 2024
    
  
    Multim. Tools Appl., February, 2024
    
  
  2022
Multi-view ensemble learning using multi-objective particle swarm optimization for high dimensional data classification.
    
  
    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.
    
  
    Expert Syst. J. Knowl. Eng., 2022
    
  
Implementation of Optimal Leaf Feature Selection-Based Plant Leaf Disease Classification Framework with RNN+GRU Technique.
    
  
    Proceedings of the Advanced Communication and Intelligent Systems, 2022
    
  
  2021
A Scalable Unsupervised Classification Method Using Rough Set for Remote Sensing Imagery.
    
  
    Int. J. Softw. Sci. Comput. Intell., 2021
    
  
  2020
Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust.
    
  
    Multim. Tools Appl., 2020
    
  
Group Recommender Systems - An Evolutionary Approach Based on Multi-expert System for Consensus.
    
  
    J. Intell. Syst., 2020
    
  
    Appl. Soft Comput., 2020
    
  
Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity.
    
  
    Appl. Artif. Intell., 2020
    
  
  2019
Link prediction in signed social networks based on fuzzy computational model of trust and distrust.
    
  
    Soft Comput., 2019
    
  
Fast active learning for hyperspectral image classification using extreme learning machine.
    
  
    IET Image Process., 2019
    
  
Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques.
    
  
    AI Commun., 2019
    
  
    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.
    
  
    Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018
    
  
  2017
    Int. J. Commun. Syst., 2017
    
  
  2016
Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification.
    
  
    Knowl. Inf. Syst., 2016
    
  
Performance analysis of cognitive radio networks under spectrum sharing using queuing approach.
    
  
    Comput. Electr. Eng., 2016
    
  
  2015
Multi-view Ensemble Learning: A Supervised Feature Set Partitioning for High Dimensional Data Classification.
    
  
    Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015
    
  
    Proceedings of the 34th IEEE Symposium on Reliable Distributed Systems Workshop, 2015
    
  
    Proceedings of the Pattern Recognition and Machine Intelligence, 2015
    
  
  2014
    Smart Comput. Rev., 2014
    
  
  2012
    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.
    
  
    Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2008
    
  
  2007
    Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007
    
  
  2005
    Int. J. Hybrid Intell. Syst., 2005
    
  
Dynamic RDT Model for Data Mining.
  
    Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005
    
  
  2003
Should Decision Trees be Learned using Rough Sets?
  
    Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003
    
  
Classifying Mushrooms in the Hybridized Rough Sets Framework.
  
    Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003
    
  
Hybridized Rough Set Framework for Classification: An Experimental View.
  
    Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
    
  
    Proceedings of the Data Warehousing and Knowledge Discovery, 5th International Conference, 2003