| Mining for similarities in time series data using wavelet-based feature vectors and neural networks PK Dash, M Nayak, MR Senapati, IWC Lee Engineering Applications of Artificial Intelligence 20 (2), 185-201, 2007 | 73 | 2007 |
| Texture-based features for classification of mammograms using decision tree AK Mohanty, MR Senapati, S Beberta, SK Lenka Neural Computing and Applications 23, 1011-1017, 2013 | 68 | 2013 |
| Local linear wavelet neural network for breast cancer recognition MR Senapati, AK Mohanty, S Dash, PK Dash Neural Computing and Applications 22, 125-131, 2013 | 62 | 2013 |
| A novel image mining technique for classification of mammograms using hybrid feature selection AK Mohanty, MR Senapati, SK Lenka Neural Computing and Applications 22, 1151-1161, 2013 | 56 | 2013 |
| An adaptive local linear optimized radial basis functional neural network model for financial time series prediction A Patra, S Das, SN Mishra, MR Senapati Neural Computing and Applications 28, 101-110, 2017 | 50 | 2017 |
| A novel model for stock price prediction using hybrid neural network MR Senapati, S Das, S Mishra Journal of the Institution of Engineers (india): Series B 99 (6), 555-563, 2018 | 42 | 2018 |
| Local linear wavelet neural network based breast tumor classification using firefly algorithm MR Senapati, PK Dash Neural Computing and Applications 22, 1591-1598, 2013 | 39 | 2013 |
| MASCA–PSO based LLRBFNN model and improved fast and robust FCM algorithm for detection and classification of brain tumor from MR image S Mishra, P Sahu, MR Senapati Evolutionary Intelligence, Springer, 2019 | 36 | 2019 |
| Enhancing detection of retinal blood vessels by combined approach ofDWT, Tyler Coye and Gamma correction S Dash, MR Senapati Biomedical Signal Processing and Control, 2019 | 31 | 2019 |
| Hybrid approach using KPSO and RLS for RBFNN design for breast cancer detection MR Senapati, G Panda, PK Dash Neural Computing and Applications 24, 745-753, 2014 | 26 | 2014 |
| Illumination normalized based technique for retinal blood vessel segmentation S Dash, MR Senapati, PK Sahu, PSR Chowdary International Journal of Imaging Systems and Technology 31 (1), 351-363, 2021 | 25 | 2021 |
| Elephant Herding Optimization Technique based Neural Network for Cancer Prediction MRS Monalisa Nayak, Soumya Das, Urmila Bhanja Informatics in Medicine Unlocked 21, 2020 | 24 | 2020 |
| Intelligent system based on local linear wavelet neural network and recursive least square approach for breast cancer classification MR Senapati, PK Dash Artificial Intelligence Review 39, 151-163, 2013 | 23 | 2013 |
| New Approaches in Metaheuristic to Classify Medical Data Using Artificial Neural Network S Das, S Mishra, MR Senapati Arabian Journal for Science and Engineering, Springer, 2019 | 20 | 2019 |
| K-NN based automated reasoning using bilateral filter based texture descriptor for computing texture classification S Dash, MR Senapati, UR Jena Egyptian Informatics Journal, Elsevier Science, 2018 | 20 | 2018 |
| Estimating the fractal dimension of images using pixel range calculation technique A Ranganath, MR Senapati, PK Sahu The Visual Computer, 2020 | 18 | 2020 |
| An application of data mining techniques for flood forecasting: Application in rivers Daya and Bhargavi, India BK Panigrahi, S Das, TK Nath, MR Senapati Journal of The Institution of Engineers (India): Series B 99 (4), 331-342, 2018 | 17 | 2018 |
| Rule extraction from radial basis functional neural networks by using particle swarm optimization MR Senapati, I Vijaya, PK Dash Journal of Computer Science 3 (8), 592-599, 2007 | 17 | 2007 |
| Gray level run length matrix based on various illumination normalization techniques for texture classification S Dash, MR Senapati Evolutionary Intelligence, Springer, 2018 | 16 | 2018 |
| A self-adaptive fuzzy-based optimised functional link artificial neural network model for financial time series prediction S Das, A Patra, S Mishra, MR Senapati International Journal of Business Forecasting and Marketing Intelligence 2 …, 2015 | 15 | 2015 |
