Sonajharia Minz | Academic Influence

Sonajharia Minz's AcademicInfluence.com Rankings

Sonajharia Minz

Sociology

#2348

World Rank

#2611

Historical Rank

sociology Degrees

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Sociology

Sonajharia Minz's Degrees

PhD Sociology Jawaharlal Nehru University
Masters Sociology Delhi University
Bachelors Sociology Delhi University

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Why Is Sonajharia Minz Influential?

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According to Wikipedia, Sonajharia Minz is an academician, trained in Mathematics and Computer Science, and engages with adivasi issues. She is the second tribeswoman hailing from Chotanagpur and appointed as a Vice-Chancellor in Sido Kanhu Murmu University, Dumka.

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Sonajharia Minz's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Feature Selection: A literature Review (2014) (390)
RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK (2019) (84)
Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification (2016) (58)
Multi-Objective Particle Swarm Optimization: An Introduction (2014) (47)
Rough Set Based Decision Tree Model for Classification (2003) (25)
Machine learning for forewarning crop diseases. (2009) (23)
Discretization Using Clustering and Rough Set Theory (2007) (20)
Multi-view Ensemble Learning for Poem Data Classification Using SentiWordNet (2014) (17)
Granulation-based self-training for the semi-supervised classification of remote-sensing images (2020) (16)
Multi-view Ensemble Learning: A Supervised Feature Set Partitioning for High Dimensional Data Classification (2015) (14)
Poem Classification Using Machine Learning Approach (2012) (14)
Change Detection Using Unsupervised Learning Algorithms for Delhi, India (2014) (11)
Effective Context-Aware Recommendations Based on Context Weighting Using Genetic Algorithm and Alleviating Data Sparsity (2020) (10)
Conflict Graph Based Channel Allocation in Cognitive Radio Networks (2015) (9)
Modified Self-Learning with Clustering for the Classification of Remote Sensing Images (2015) (9)
Rough-Set Based Hotspot Detection in Spatial Data (2019) (9)
Fast active learning for hyperspectral image classification using extreme learning machine (2019) (8)
Performance analysis of cognitive radio networks under spectrum sharing using queuing approach (2016) (7)
Refining decision tree classifiers using rough set tools (2005) (7)
Classification of hyperspectral images using self-training and a pseudo validation set (2018) (7)
A Kernel-Based Extreme Learning Machine Framework for Classification of Hyperspectral Images Using Active Learning (2019) (7)
Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques (2019) (7)
Group Recommender Systems – An Evolutionary Approach Based on Multi-expert System for Consensus (2018) (7)
Multilevel Privacy Preserving in Distributed Environment using Cryptographic Technique (6)
Circle-based Group Recommendation in Social Networks (2020) (6)
Hybridized Rough Set Framework for Classification: An Experimental View (2003) (5)
Link prediction in signed social networks based on fuzzy computational model of trust and distrust (2019) (5)
Binarizing Change for Fast Trend Similarity Based Clustering of Time Series Data (2015) (5)
Fisher discriminant ratio based multiview active learning for the classification of remote sensing images (2018) (4)
Generalized fuzzy c-means with spatial information for clustering of remote sensing images (2014) (4)
On relationships between q-product identities and combinatorial partition identities (2020) (4)
CCRA: channel criticality based resource allocation in cognitive radio networks (2017) (4)
Game Theory Based Pixel Approximation for Remote Sensing Imagery (2020) (3)
Negotiation framework for group recommendation based on fuzzy computational model of trust and distrust (2020) (3)
Spatial clustering using neighborhood for multispectral images (2020) (3)
An Optimal Multi-view Ensemble Learning for High Dimensional Data Classification Using Constrained Particle Swarm Optimization (2017) (3)
Multi-view ensemble learning using multi-objective particle swarm optimization for high dimensional data classification (2021) (3)
Should Decision Trees be Learned using Rough Sets? (2003) (3)
Granulation using Clustering and Rough Set Theory and its Tree Representation (2007) (3)
Self-training with Neighborhood Information for the Classification of Remote Sensing Images (2018) (3)
Discretization Based Support Vector Machines for Classification (2009) (2)
Improving Multi-agent Evolutionary Techniques with Local Search for Job Shop Scheduling Problem (2008) (2)
Exploring Self-learning for spatial-spectral classification of remote sensing images (2015) (2)
Classifying Mushrooms in the Hybridized Rough Sets Framework (2003) (2)
Spatio-temporal changes pattern in the hotspot's footprint: a case study of confirmed, recovered and deceased cases of Covid-19 in India (2022) (2)
Entropy Query by Bagging-Based Active Learning Approach in the Extreme Learning Machine Framework for Hyperspectral Image Classification (2020) (2)
Spatial Rough k-Means Algorithm for Unsupervised Multi-spectral Classification (2020) (2)
Data Privacy in Data Engineering, the Privacy Preserving Models and Techniques in Data Mining and Data Publishing: Contemporary Affirmation of the Recent Literature (2012) (2)
Change Footprint Pattern Analysis of Crime Hotspot of Indian Districts (2020) (1)
Multi-view ensemble learning: an optimal feature set partitioning for high-dimensional data classification (2015) (1)
Information, Communication and Computing Technology (2018) (1)
A Scalable Unsupervised Classification Method Using Rough Set for Remote Sensing Imagery (2021) (1)
Implementation of Optimal Leaf Feature Selection-Based Plant Leaf Disease Classification Framework with RNN+GRU Technique (2022) (0)
Dynamic RDT Model for Data Mining (2005) (0)
Measure of roughness using granular computing (2013) (0)
Spatial Granule based Clustering Technique for Hyperspectral Images (2022) (0)
Deep Residual SVM: A Hybrid Learning Approach to obtain High Discriminative Feature for Land Use and Land Cover Classification (2023) (0)
Rough set based decision tree for identifying vulnerable and food insecure households. (2006) (0)
Link prediction in signed social networks based on fuzzy computational model of trust and distrust (2019) (0)
Inductive-Analytical Learning based Stepwise Support Vector Machine ( SVM ) Model (2014) (0)
Self-Training with Spatially Confident and Diverse Samples for the Classification of Remote Sensing Images (2022) (0)
Negation in logic programming systems (1996) (0)
Adaptive Fusion of K-Means Region Growing with Optimized Deep Features for Enhanced LSTM-based Multi-disease Classification of Plant leaves (2023) (0)
Unsupervised classification of remote sensing imagery using multi-sensor data fusion (2017) (0)
CORRIGENDUM to “RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK” (2019) (0)
Getis-Ord (Gi*) based Farmer Suicide Hotspot Detection (2022) (0)
HIERARCHICAL PRIVACY PRESERVING DISTRIBUTED FREQUENT ITEMSET MINING OVER VERICALLY DISTRIBUTED DATASET (HPPDFIM) (2013) (0)
Granulation-based self-training for the semi-supervised classification of remote-sensing images (2019) (0)
Self‐adaptive‐deer hunting optimization‐based optimal weighted features and hybrid classifier for automated disease detection in plant leaves (2022) (0)

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What Schools Are Affiliated With Sonajharia Minz?

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