| A hybrid stock trading framework integrating technical analysis with machine learning techniques R Dash, PK Dash The Journal of Finance and Data Science 2 (1), 42-57, 2016 | 292 | 2016 |
| A hybridized K-means clustering approach for high dimensional dataset R Dash, D Mishra, A Rath, M Acharya International Journal of Engineering, Science and Technology 2 (2), 59-66, 2010 | 169 | 2010 |
| Comparative analysis of supervised and unsupervised discretization techniques R Dash, RL Paramguru, R Dash International Journal of Advances in Science and Technology 2 (3), 29-37, 2011 | 157 | 2011 |
| Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach AK Rout, PK Dash, R Dash, R Bisoi Journal of King Saud University-Computer and Information Sciences 29 (4 …, 2017 | 143 | 2017 |
| Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection R Mohakud, R Dash Journal of King Saud University-Computer and Information Sciences 34 (8 …, 2022 | 116 | 2022 |
| A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction R Dash, PK Dash, R Bisoi Swarm and Evolutionary Computation 19, 25-42, 2014 | 104 | 2014 |
| Efficient stock price prediction using a self evolving recurrent neuro-fuzzy inference system optimized through a modified differential harmony search technique R Dash, PK Dash Expert Systems with Applications 52, 75-90, 2016 | 76 | 2016 |
| An integrated TOPSIS crow search based classifier ensemble: In application to stock index price movement prediction R Dash, S Samal, R Dash, R Rautray Applied Soft Computing 85, 105784, 2019 | 73 | 2019 |
| Skin cancer image segmentation utilizing a novel EN-GWO based hyper-parameter optimized FCEDN R Mohakud, R Dash Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 72 | 2022 |
| A comparative study of chebyshev functional link artificial neural network, multi-layer perceptron and decision tree for credit card fraud detection MK Mishra, R Dash 2014 International Conference on Information Technology, 228-233, 2014 | 68 | 2014 |
| Performance analysis of a higher order neural network with an improved shuffled frog leaping algorithm for currency exchange rate prediction R Dash Applied Soft Computing 67, 215-231, 2018 | 66 | 2018 |
| Risk assessment techniques for software development R Dash, R Dash European journal of scientific research 42 (4), 629-636, 2010 | 52 | 2010 |
| A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction R Dash, PK Dash, R Bisoi International Journal of Approximate Reasoning 59, 81-104, 2015 | 45 | 2015 |
| An evolutionary hybrid fuzzy computationally efficient EGARCH model for volatility prediction R Dash, PK Dash Applied Soft Computing 45, 40-60, 2016 | 44 | 2016 |
| MDHS–LPNN: a hybrid FOREX predictor model using a Legendre polynomial neural network with a modified differential harmony search technique R Dash, PK Dash Handbook of neural computation, 459-486, 2017 | 40 | 2017 |
| An improved shuffled frog leaping algorithm based evolutionary framework for currency exchange rate prediction R Dash Physica A: Statistical Mechanics and its Applications 486, 782-796, 2017 | 36 | 2017 |
| Performance analysis of an evolutionary recurrent Legendre Polynomial Neural Network in application to FOREX prediction R Dash Journal of King Saud University-Computer and Information Sciences 32 (9 …, 2020 | 31 | 2020 |
| An evolutionary framework based microarray gene selection and classification approach using binary shuffled frog leaping algorithm R Dash, R Dash, R Rautray Journal of King Saud University-Computer and Information Sciences 34 (3 …, 2022 | 30 | 2022 |
| Feature selection in gene expression data using principal component analysis and rough set theory D Mishra, R Dash, AK Rath, M Acharya Software Tools and Algorithms for Biological Systems, 91-100, 2011 | 30 | 2011 |
| Survey on hyperparameter optimization using nature-inspired algorithm of deep convolution neural network R Mohakud, R Dash Intelligent and Cloud Computing: Proceedings of ICICC 2019, Volume 1, 737-744, 2021 | 27 | 2021 |
