A memetic algorithm using emperor penguin and social engineering optimization for medical data classification SK Baliarsingh, W Ding, S Vipsita, S Bakshi Applied Soft Computing 85, 105773, 2019 | 74 | 2019 |
Analysis of high-dimensional biomedical data using an evolutionary multi-objective emperor penguin optimizer SK Baliarsingh, S Vipsita, K Muhammad, S Bakshi Swarm and Evolutionary Computation 48, 262-273, 2019 | 53 | 2019 |
A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm SK Baliarsingh, S Vipsita, B Dash Neural Computing and Applications 32, 8599-8616, 2020 | 52 | 2020 |
Analysis of high-dimensional genomic data employing a novel bio-inspired algorithm SK Baliarsingh, S Vipsita, K Muhammad, B Dash, S Bakshi Applied Soft Computing 77, 520-532, 2019 | 47 | 2019 |
Analysis of high-dimensional genomic data using MapReduce based probabilistic neural network SK Baliarsingh, S Vipsita, AH Gandomi, A Panda, S Bakshi, ... Computer methods and programs in biomedicine 195, 105625, 2020 | 34 | 2020 |
PSPS: An IoT based predictive smart parking system RK Lenka, RK Barik, NK Das, K Agarwal, D Mohanty, S Vipsita 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical …, 2017 | 33 | 2017 |
An efficient technique for protein classification using feature extraction by artificial neural networks S Vipsita, BK Shee, SK Rath 2010 annual IEEE India conference (INDICON), 1-5, 2010 | 26 | 2010 |
Chaotic emperor penguin optimised extreme learning machine for microarray cancer classification SK Baliarsingh, S Vipsita IET Systems Biology 14 (2), 85-95, 2020 | 23 | 2020 |
An efficient approach for classification of gene expression microarray data RS Sreepada, S Vipsita, P Mohapatra 2014 Fourth International Conference of Emerging Applications of Information …, 2014 | 14 | 2014 |
Two‐stage approach for protein superfamily classification S Vipsita, SK Rath Computational Biology Journal 2013 (1), 898090, 2013 | 13 | 2013 |
An efficient approach for microarray data classification using filter wrapper hybrid approach RS Sreepada, S Vipsita, P Mohapatra 2015 IEEE International Advance Computing Conference (IACC), 263-267, 2015 | 10 | 2015 |
Protein superfamily classification using kernel principal component analysis and probabilistic neural networks S Vipsita, BK Shee, SK Rath 2011 Annual IEEE India Conference, 1-6, 2011 | 10 | 2011 |
Biclustering of gene expression microarray data using dynamic deme parallelized genetic algorithm (DdPGA) S Mishra, S Vipsita 2017 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2017 | 9 | 2017 |
A novel approach for pattern recognition PK Patra, S Vipsita, S Mohapatra, SK Dash International Journal of Computer Applications 9 (8), 19-23, 2010 | 8 | 2010 |
Bi-clustering of gene expression microarray using coarse grained parallel genetic algorithm (cgpga) with migration A Laishram, S Vipsita 2015 annual IEEE India conference (INDICON), 1-6, 2015 | 7 | 2015 |
Protein superfamily classification using adaptive evolutionary radial basis function network S Vipsita, SK Rath International Journal of Computational Intelligence and Applications 11 (04 …, 2012 | 7 | 2012 |
An evolutionary approach for protein classification using feature extraction by artificial neural network S Vipsita, S Rath 2010 International Conference on Computer and Communication Technology …, 2010 | 7 | 2010 |
TriRNSC: triclustering of gene expression microarray data using restricted neighbourhood search BS Biswal, S Patra, A Mohapatra, S Vipsita IET Systems Biology 14 (6), 323-333, 2020 | 6 | 2020 |
A review on biclustering of gene expression microarray data: algorithms, effective measures and validations BS Biswal, A Mohapatra, S Vipsita International Journal of Data Mining and Bioinformatics 21 (3), 230-268, 2018 | 6 | 2018 |
Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks TR Sahoo, S Patra, S Vipsita Computational Biology and Chemistry 106, 107935, 2023 | 5 | 2023 |