Soft-Margin SVM Incorporating Feature Selection Using Improved Elitist GA for Arrhythmia Classification. - Vinod Jagannath Kadam; Samir S. Yadav; Shivajirao M. Jadhav (ISDA (2), 2018)

Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression. - Vinod Jagannath Kadam; Shivajirao Manikrao Jadhav; K. Vijayakumar 002 (J. Medical Syst., 2019)

Machine Learning Algorithms for the Diagnosis of Cardiac Arrhythmia in IoT Environment. - Samir S. Yadav; Vinod Jagannath Kadam; Shivajirao M. Jadhav (RTIP2R (2), 2020)

Bagging based ensemble of Support Vector Machines with improved elitist GA-SVM features selection for cardiac arrhythmia classification. - Vinod Jagannath Kadam; Shivajirao M. Jadhav; Samir S. Yadav (Int. J. Hybrid Intell. Syst., 2020)

Optimal weighted feature vector and deep belief network for medical data classification. - Vinod Jagannath Kadam; Shivajirao Manikrao Jadhav (Int. J. Wavelets Multiresolution Inf. Process., 2020)

Breast cancer diagnosis using multiple activation deep neural network. - K. Vijayakumar 002; Vinod Jagannath Kadam; Sudhir Kumar Sharma (Concurr. Eng. Res. Appl., 2021)

Breast cancer prediction from microRNA profiling using random subspace ensemble of LDA classifiers via Bayesian optimization. - Sudhir Kumar Sharma; K. Vijayakumar 002; Vinod Jagannath Kadam; Sheldon Williamson (Multim. Tools Appl., 2022)

Predicting breast cancer biopsy outcomes from BI-RADS findings using random forests with chi-square and MI features. - Sheldon Williamson; K. Vijayakumar 002; Vinod Jagannath Kadam (Multim. Tools Appl., 2022)