Vinod Jagannath Kadam

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 8

Top Topics

Machine Learning

Ensemble Learning

Top Venues

Multim. Tools Appl.

Concurr. Eng. Res. Appl.

Publications

Sheldon Williamson, K. Vijayakumar, Vinod Jagannath Kadam
Predicting breast cancer biopsy outcomes from BI-RADS findings using random forests with chi-square and MI features. Multim. Tools Appl. 81 (26) (2022)
Sudhir Kumar Sharma, K. Vijayakumar, Vinod Jagannath Kadam, Sheldon Williamson
Breast cancer prediction from microRNA profiling using random subspace ensemble of LDA classifiers via Bayesian optimization. Multim. Tools Appl. 81 (29) (2022)
K. Vijayakumar, Vinod Jagannath Kadam, Sudhir Kumar Sharma
Breast cancer diagnosis using multiple activation deep neural network. Concurr. Eng. Res. Appl. 29 (3) (2021)
Vinod Jagannath Kadam, Shivajirao Manikrao Jadhav
Optimal weighted feature vector and deep belief network for medical data classification. Int. J. Wavelets Multiresolution Inf. Process. 18 (2) (2020)
Vinod Jagannath Kadam, Shivajirao Manikrao Jadhav, Samir S. Yadav
Bagging based ensemble of Support Vector Machines with improved elitist GA-SVM features selection for cardiac arrhythmia classification. Int. J. Hybrid Intell. Syst. 16 (1) (2020)
Samir S. Yadav, Vinod Jagannath Kadam, Shivajirao Jadhav
Machine Learning Algorithms for the Diagnosis of Cardiac Arrhythmia in IoT Environment. RTIP2R (2) (2020)
Vinod Jagannath Kadam, Shivajirao Manikrao Jadhav, K. Vijayakumar
Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression. J. Medical Syst. 43 (8) (2019)
Vinod Jagannath Kadam, Samir S. Yadav, Shivajirao Manikrao Jadhav
Soft-Margin SVM Incorporating Feature Selection Using Improved Elitist GA for Arrhythmia Classification. ISDA (2) (2018)