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Bikesh Kumar Singh
Researcher at National Institute of Technology, Raipur
Publications - 85
Citations - 1078
Bikesh Kumar Singh is an academic researcher from National Institute of Technology, Raipur. The author has contributed to research in topics: Computer science & Feature selection. The author has an hindex of 14, co-authored 70 publications receiving 589 citations. Previous affiliations of Bikesh Kumar Singh include All India Institute of Medical Sciences.
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Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble
TL;DR: An automatic COVID screening (ACoS) system that uses radiomic texture descriptors extracted from CXR images to identify the normal, suspected, and nCOVID-19 infected patients is presented.
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Investigations on Impact of Feature Normalization Techniques on Classifier's Performance in Breast Tumor Classification
TL;DR: This paper investigates and evaluates some popular feature normalization techniques and studies their impact on performance of classifier with application to breast tumor classification using ultrasound images and shows that that normalization of features has significant effect on the classification accuracy.
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Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm
Luca Saba,Pankaj K. Jain,Harman S. Suri,Nobutaka Ikeda,Tadashi Araki,Bikesh Kumar Singh,Andrew N. Nicolaides,Shoaib Shafique,Ajay Gupta,John R. Laird,Jasjit S. Suri +10 more
TL;DR: A polling-based principal component analysis (PCA) strategy embedded in the machine learning framework to select and retain dominant features, resulting in superior performance and can be adapted in clinical settings.
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Determining relevant biomarkers for prediction of breast cancer using anthropometric and clinical features: A comparative investigation in machine learning paradigm
TL;DR: Results of feature selection techniques indicate that glucose, age and resistin are found to be most relevant and effective biomarkers for breast cancer prediction.
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Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images
TL;DR: The empirical results suggest that eliminating doubtful training examples can improve the decision making performance of expert systems, and the proposed approach show promising results and need further evaluation in other applications of expert and intelligent systems.