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2020 – today
- 2022
[j6]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): 36869-36889 (2022)- [j5]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): 41785-41805 (2022) - 2021
- [j4]K. Vijayakumar, Vinod Jagannath Kadam, Sudhir Kumar Sharma:
Breast cancer diagnosis using multiple activation deep neural network. Concurr. Eng. Res. Appl. 29(3) (2021) - 2020
- [j3]Vinod Jagannath Kadam, Shivajirao M. 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): 25-33 (2020) - [j2]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): 2050006:1-2050006:26 (2020) - [c2]Samir S. Yadav, Vinod Jagannath Kadam, Shivajirao M. Jadhav:
Machine Learning Algorithms for the Diagnosis of Cardiac Arrhythmia in IoT Environment. RTIP2R (2) 2020: 95-107
2010 – 2019
- 2019
- [j1]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): 263:1-263:11 (2019) - 2018
- [c1]Vinod Jagannath Kadam, Samir S. Yadav, Shivajirao M. Jadhav:
Soft-Margin SVM Incorporating Feature Selection Using Improved Elitist GA for Arrhythmia Classification. ISDA (2) 2018: 965-976
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