Risk prediction of kidney disease using machine learning strategies L Jena, B Patra, S Nayak, S Mishra, S Tripathy Intelligent and Cloud Computing: Proceedings of ICICC 2019, Volume 2, 485-494, 2021 | 44 | 2021 |
A hybrid data mining technique for improving the classification accuracy of microarray data set S Dash, B Patra, BK Tripathy International Journal of Information Engineering and Electronic Business 4 …, 2012 | 34 | 2012 |
Redundant gene selection based on genetic and quick-reduct algorithms S Dash, B Patra International Journal on Data Mining and Intelligent Information Technology …, 2013 | 15 | 2013 |
Genetic diagnosis of cancer by evolutionary fuzzy-rough based neural-network ensemble S Dash, B Patra Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications …, 2020 | 11 | 2020 |
Study of classification accuracy of microarray data for cancer classification using multivariate and hybrid feature selection method S Dash, B Patra, BK Tripathy IOSR Journal of Engineering (IOSRJEN) 2 (8), 112-119, 2012 | 11 | 2012 |
Evolutionary hybrid feature selection for cancer diagnosis B Patra, L Jena, S Bhutia, S Nayak Intelligent and Cloud Computing: Proceedings of ICICC 2019, Volume 2, 279-287, 2021 | 10 | 2021 |
Feature selection algorithms for classification and clustering in bioinformatics S Dash, B Patra Global Trends in Intelligent Computing Research and Development, 111-130, 2014 | 10 | 2014 |
Cloud, edge and fog computing in healthcare B Patra, K Mohapatra Intelligent and Cloud Computing: Proceedings of ICICC 2019, Volume 2, 553-564, 2021 | 7 | 2021 |
Rough set aided gene selection for cancer classification S Dash, B Patra 2012 7th International Conference on Computing and Convergence Technology …, 2012 | 7 | 2012 |
BIOCOMP Study of Classification Accuracy of Microarray Data for Cancer Classification using Hybrid, Wrapper and Filter Feature Selection Method S Dash, B Patra Proceedings of the International Conference on Bioinformatics …, 2012 | 7 | 2012 |
Machine learning techniques for cancer risk prediction B Patra, S Bhutia, N Panda Test Eng. Manag 83, 7414-7420, 2020 | 6 | 2020 |
MANET routing attacks and their countermeasures: A survey N Panda, B Patra, S Hota J. Crit. Rev 7, 2777-2792, 2020 | 6 | 2020 |
CFSES optimization feature selection with neural network classification for microarray data analysis B Patra, SS Bisoyi 2018 2nd International Conference on Data Science and Business Analytics …, 2018 | 6 | 2018 |
Neural techniques for improving the classification accuracy of microarray data set using rough set feature selection method B Patra, S Dash, BK Tripathy International Journal of Computer Trends and Technology 4 (3), 424-429, 2013 | 6 | 2013 |
COVID-19 epidemic: analysis and prediction S Bhutia, B Patra, M Ray Int J Artif Intell ISSN 2252 (8938), 8938, 2022 | 5 | 2022 |
Performance of Machine Learning Techniques Before and After COVID-19 on Indian Foreign Exchange Rate TN Pandey, RR Mahakud, B Patra, PK Giri, S Dehuri Smart Innovation, system and Technologies, 2022 271, 467-481, 2022 | 4 | 2022 |
Reliability Analysis of Classification of Gene Expression Data Using Efficient Gene Selection Techniques. B Patra International Journal of Computer Science Engineering & Technology 1 (11), 2011 | 4 | 2011 |
Solving Multiple Travelling Salesman Problem Using Modified Ant Colony Optimization Algorithm: a Theoritical Approach S Tripathy International Journal of Engineering Technologies in Computation and Applied …, 2014 | 3 | 2014 |
A FRGSNN hybrid feature selection combining FRGS filter and GSNN wrapper BN Patra, S Dash Int J Latest Trends Eng Technol 7 (2), 8-15, 2016 | 2 | 2016 |
Interaction between three moving Griffith cracks at the interface of two dissimilar elastic media S Das, B Patra, L Debnath Korean Journal of Computational & Applied Mathematics 8, 59-69, 2001 | 2 | 2001 |