| An Introductory Study on Time Series Modeling and Forecasting R Adhikari, RK Agrawal LAP Lambert Academic Publishing, Germany, 2013 | 953 | 2013 |
| Time series forecasting using hybrid ARIMA and ANN models based on DWT decomposition I Khandelwal, R Adhikari, G Verma Procedia Computer Science 48, 173-179, 2015 | 363 | 2015 |
| A combination of artificial neural network and random walk models for financial time series forecasting R Adhikari, RK Agrawal Neural Computing and Applications, 1-9, 2013 | 224 | 2013 |
| A neural network based linear ensemble framework for time series forecasting R Adhikari Neurocomputing 157, 231-242, 2015 | 149 | 2015 |
| An introductory study on time series modeling and forecasting RK Agrawal, R Adhikari Nova York: CoRR, 200-212, 2013 | 75 | 2013 |
| Performance evaluation of weights selection schemes for linear combination of multiple forecasts R Adhikari, RK Agrawal Artificial Intelligence Review 42, 529-548, 2014 | 63 | 2014 |
| Forecasting strong seasonal time series with artificial neural networks R Adhikari, RK Agrawal Journal of Scientific and Industrial Research 71 (10), 657-666, 2012 | 44 | 2012 |
| 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 |
| Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting R Adhikari, RK Agrawal Fifth Indian International Conference on Artificial Intelligence (IICAI …, 2011 | 40 | 2011 |
| A Homogeneous Ensemble of Artificial Neural Networks for Time Series Forecasting R Adhikari, RK Agrawal International Journal of Computer Applications (IJCA) 32 (7), 1-8, 2011 | 37 | 2011 |
| A model ranking based selective ensemble approach for time series forecasting R Adhikari, G Verma, I Khandelwal Procedia Computer Science 48, 14-21, 2015 | 33 | 2015 |
| Combining Multiple Time Series Models through a Robust Weighted Mechanism R Adhikari, RK Agrawal First IEEE International Conference on Recent Advances in Information …, 2012 | 30 | 2012 |
| PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting R Adhikari, RK Agrawal, L Kant Third IEEE International Advanced Computing Conference (IACC), 711-717, 2013 | 28 | 2013 |
| An introductory study on time series modeling and forecasting. arXiv 2013 R Adhikari, RK Agrawal arXiv preprint arXiv:1302.6613, 0 | 27 | |
| A meticulous study of various medium access control protocols for wireless sensor networks R Adhikari Journal of Network and Computer Applications 41, 488-504, 2014 | 25 | 2014 |
| An introductory study on time series modeling and forecasting, 2013 R Adhikari, RK Agrawal arXiv preprint arXiv:1302.6613, 2019 | 23 | 2019 |
| A mutual association based nonlinear ensemble mechanism for time series forecasting R Adhikari Applied Intelligence 43, 233-250, 2015 | 19 | 2015 |
| Forecasting seasonal time series with functional link artificial neural network I Khandelwal, U Satija, R Adhikari 2015 2nd International Conference on Signal Processing and Integrated …, 2015 | 17 | 2015 |
| A linear hybrid methodology for improving accuracy of time series forecasting R Adhikari, RK Agrawal Neural Computing and Applications, 1-13, 2013 | 17 | 2013 |
| Time series forecasting through a dynamic weighted ensemble approach R Adhikari, G Verma Proceedings of 3rd International Conference on Advanced Computing …, 2016 | 12 | 2016 |
R. K. AgrawalProfessor, School of Computer & Systems Sciences, Jawaharlal Nehru UniversityVerified email at mail.jnu.ac.in
