2010 · Atul Negi, Vijaya Kumar Kadappa · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 11

A Reliable Distributed Grid Scheduler for Independent Tasks

2011 · Kovvur Ram, M V Bhaskara Rao, et al. · 10

Decision Tree classifier using theme based partitioning

2015 · Vijayakumar Kadappa, Shankru Guggari, et al. · International Conference on Computing and Network Communications · 8

Global Modular Principal Component Analysis

2014 · Vijayakumar Kadappa, Atul Negi · Signal Processing · 8

Theme-Based Partitioning Approach to Decision Tree: An Extended Experimental Analysis

2019 · Shankru Guggari, Vijayakumar Kadappa, et al. · Lecture notes in electrical engineering · 7

Teacher recruitment data analytics using association rule mining in Indian context

2016 · Vijayakumar Kadappa, Shankru Guggari, et al. · International Conference on Data Science and Engineering · 7

Local support-based partition algorithm for frequent pattern mining

2018 · Vijayakumar Kadappa, Shivaraju Nagesh · Pattern Analysis and Applications · 6

A theoretical investigation of feature partitioning principal component analysis methods

2014 · Vijayakumar Kadappa, Atul Negi · Pattern Analysis and Applications · 6

An Investigation on Recent Advances in Feature Partitioning Based Principal Component Analysis Methods

2010 · Atul Negi, Vijayakumar Kadappa · Vaagdevi International Conference on Information Technology for Real World Problems (VCON) · 6

A Novel Approach to Eigenpalm Features Using Feature-Partitioning Framework.

2007 · Vijayakumar Kadappa, Atul Negi · 5

Identification of road signs using a novel convolutional neural network

2020 · Yang Pan, Vijayakumar Kadappa, et al. · Elsevier eBooks · 4

Assessing the Vulnerability of Cancer Patients for COVID-19

2022 · Saloni Bhatia, Padmini Gokhale, et al. · ACS Omega · 3

Assessment and Attainment of Student Learning Outcomes in Outcome-Based Education for Technical Undergraduate Programs

2022 · Vijayakumar Kadappa, Divijendranatha Reddy Sirigeri, et al. · Advances in higher education and professional development book series · 3

Divide-and-Conquer Computational Approach to Principal Component Analysis

2014 · Vijayakumar Kadappa, Atul Negi · Advances in intelligent systems and computing · 3

COVID-19 and its impact on cancer, HIV, and mentally ill patients

2022 · Avinash Arvind Rasalkar, Saloni Bhatia, et al. · Elsevier eBooks · 2

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Frequent Itemsets Based Partitioning Approach to Decision Tree Classifier

2020 · Shankru Guggari, Vijayakumar Kadappa, et al. · Lecture notes in computer science · 2

A distributed dynamic grid scheduler for mixed tasks

2013 · R. M. R. Kovvur, S. Ramachandram, et al. · IEEE International Advance Computing Conference · 2

A Reliable Distributed Grid Scheduler for Mixed Tasks

2011 · Ram Mohan Rao Kovvur, S. Ramachandram, et al. · Communications in computer and information science · 2

Deep learning architectures for detection of acute myeloid leukemia

2025 · Niteesh Kempusagara Ramesh, Vijayakumar Kadappa, et al. · International Journal of Computational Science and Engineering · 1

Divide and Conquer Framework with Feature Partitioning Concepts

2018 · Vijayakumar Kadappa, Atul Negi · IEEE Pune Section International Conference (PuneCon) · 1

Works count: 41

Citation count: 189

H-index: 8

I10-index: 7