| An introductory study on time series modeling and forecasting R Adhikari, RK Agrawal arXiv preprint arXiv:1302.6613, 2013 | 952 | 2013 |
| First and second order statistics features for classification of magnetic resonance brain images N Aggarwal, RK Agrawal Scientific Research Publishing, 2012 | 285 | 2012 |
| A combination of artificial neural network and random walk models for financial time series forecasting R Adhikari, RK Agrawal Neural Computing and Applications 24, 1441-1449, 2014 | 224 | 2014 |
| An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation H Verma, RK Agrawal, A Sharan Applied Soft Computing 46, 543-557, 2016 | 189 | 2016 |
| Quantum based whale optimization algorithm for wrapper feature selection RK Agrawal, B Kaur, S Sharma Applied Soft Computing 89, 106092, 2020 | 148 | 2020 |
| An introductory study on time series modeling and forecasting RK Agrawal, R Adhikari Nova York: CoRR, 200-212, 2013 | 75 | 2013 |
| Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods A Gupta, RK Agrawal, B Kaur Soft Computing 19, 2799-2812, 2015 | 66 | 2015 |
| Regions-of-interest based automated diagnosis of Parkinson’s disease using T1-weighted MRI B Rana, A Juneja, M Saxena, S Gudwani, SS Kumaran, RK Agrawal, ... Expert Systems with Applications 42 (9), 4506-4516, 2015 | 64 | 2015 |
| Performance evaluation of weights selection schemes for linear combination of multiple forecasts R Adhikari, RK Agrawal Artificial Intelligence Review 42, 529-548, 2014 | 62 | 2014 |
| A modified intuitionistic fuzzy c-means clustering approach to segment human brain MRI image D Kumar, H Verma, A Mehra, RK Agrawal Multimedia Tools and Applications 78, 12663-12687, 2019 | 59 | 2019 |
| On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI CTL Mukesh Prasad Akshansh Gupta, Ramesh Kumar Agrawal, Jyoti Singh Kirar ... IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-13, 2019 | 56* | 2019 |
| A novel approach to combine features for salient object detection using constrained particle swarm optimization N Singh, R Arya, RK Agrawal Pattern Recognition 47 (4), 1731-1739, 2014 | 54 | 2014 |
| Kernel intuitionistic fuzzy entropy clustering for MRI image segmentation D Kumar, RK Agrawal, H Verma Soft Computing 24, 4003-4026, 2020 | 46 | 2020 |
| Forecasting strong seasonal time series with artificial neural networks R Adhikari, RK Agrawal NISCAIR-CSIR, India, 2012 | 44 | 2012 |
| Relevant feature selection from a combination of spectral-temporal and spatial features for classification of motor imagery EEG JS Kirar, RK Agrawal Journal of medical systems 42, 1-15, 2018 | 42 | 2018 |
| A novel weighted ensemble technique for time series forecasting R Adhikari, RK Agrawal Advances in Knowledge Discovery and Data Mining: 16th Pacific-Asia …, 2012 | 41 | 2012 |
| Incremental Bayesian classification for multivariate normal distribution data RK Agrawal, R Bala Pattern Recognition Letters 29 (13), 1873-1876, 2008 | 41 | 2008 |
| A convex hull approach in conjunction with Gaussian mixture model for salient object detection N Singh, R Arya, RK Agrawal Digital Signal Processing 55, 22-31, 2016 | 40 | 2016 |
| A homogeneous ensemble of artificial neural networks for time series forecasting R Adhikari, RK Agrawal arXiv preprint arXiv:1302.6210, 2013 | 37 | 2013 |
| A combination of singular value decomposition and multivariate feature selection method for diagnosis of schizophrenia using fMRI A Juneja, B Rana, RK Agrawal Biomedical Signal Processing and Control 27, 122-133, 2016 | 35 | 2016 |
Dr. Ratnadip AdhikariLead Data Scientist at Leoforce, Hyderabad, IndiaDirección de correo verificada de leoforce.com
