| Multi-step-ahead time series prediction using multiple-output support vector regression Y Bao, T Xiong, Z Hu Neurocomputing 129, 482-493, 2014 | 279 | 2014 |
| Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting T Xiong, Y Bao, Z Hu Knowledge-Based Systems 55, 87-100, 2014 | 234 | 2014 |
| Hybrid filter–wrapper feature selection for short-term load forecasting Z Hu, Y Bao, T Xiong, R Chiong Engineering Applications of Artificial Intelligence 40, 17-27, 2015 | 227 | 2015 |
| A PSO and pattern search based memetic algorithm for SVMs parameters optimization Y Bao, Z Hu, T Xiong Neurocomputing 117, 98-106, 2013 | 221 | 2013 |
| Beyond one-step-ahead forecasting: evaluation of alternative multi-step-ahead forecasting models for crude oil prices T Xiong, Y Bao, Z Hu Energy Economics 40, 405-415, 2013 | 192 | 2013 |
| Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms T Xiong, Y Bao, Z Hu, R Chiong Information Sciences 305, 77-92, 2015 | 153 | 2015 |
| Exploring gender differences on general and specific computer self-efficacy in mobile learning adoption Y Bao, T Xiong, Z Hu, M Kibelloh Journal of Educational Computing Research 49 (1), 111-132, 2013 | 138 | 2013 |
| Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection Z Hu, Y Bao, R Chiong, T Xiong Energy 84, 419-431, 2015 | 135 | 2015 |
| A combination method for interval forecasting of agricultural commodity futures prices T Xiong, C Li, Y Bao, Z Hu, L Zhang Knowledge-Based Systems 77, 92-102, 2015 | 134 | 2015 |
| Interval forecasting of electricity demand: A novel bivariate EMD-based support vector regression modeling framework T Xiong, Y Bao, Z Hu International Journal of Electrical Power & Energy Systems 63, 353-362, 2014 | 114 | 2014 |
| Comprehensive Learning Particle Swarm Optimization based Memetic Algorithm for Model Selection in Short-term Load Forecasting using Support Vector Regression Z Hu, Y Bao, T Xiong Applied Soft Computing 25, 15–25, 2014 | 109 | 2014 |
| Electricity load forecasting using support vector regression with memetic algorithms Z Hu, Y Bao, T Xiong The Scientific World Journal 2013, 2013 | 94 | 2013 |
| PSO-MISMO Modeling Strategy for MultiStep-Ahead Time Series Prediction Y Bao, T Xiong, Z Hu IEEE Transactions on Cybernetics 44 (5), 655 – 668, 2014 | 84 | 2014 |
| A sentiment analysis-based machine learning approach for financial market prediction via news disclosures R Chiong, Z Fan, Z Hu, MTP Adam, B Lutz, D Neumann Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 81 | 2018 |
| Does restraining end effect matter in EMD-based modeling framework for time series prediction? Some experimental evidences T Xiong, Y Bao, Z Hu Neurocomputing 123, 174-184, 2014 | 77 | 2014 |
| Forecasting air passenger traffic by support vector machines with ensemble empirical mode decomposition and slope-based method Y Bao, T Xiong, Z Hu Discrete Dynamics in Nature and Society 2012, 2012 | 68 | 2012 |
| Partial opposition-based adaptive differential evolution algorithms: evaluation on the CEC 2014 benchmark set for real-parameter optimization Z Hu, Y Bao, T Xiong 2014 IEEE Congress on Evolutionary Computation (CEC), 2259-2265, 2014 | 67 | 2014 |
| Using machine learning to predict the sentiment of online reviews: a new framework for comparative analysis GS Budhi, R Chiong, I Pranata, Z Hu Archives of Computational Methods in Engineering 28 (4), 2543-2566, 2021 | 56 | 2021 |
| Using an improved relative error support vector machine for body fat prediction R Chiong, Z Fan, Z Hu, F Chiong Computer Methods and Programs in Biomedicine 198, 105749, 2021 | 52 | 2021 |
| Multistep-Ahead Air Passengers Traffic Prediction with Hybrid ARIMA-SVMs Models W Ming, Y Bao, Z Hu, T Xiong The Scientific World Journal 2014, 2014 | 47 | 2014 |
Yukun BaoProfessor, Deputy Director, Centre for Modern Information Management, School of Management, HuazhongEmail verificata su hust.edu.cn
