Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm L Yu, S Wang, KK Lai Energy economics 30 (5), 2623-2635, 2008 | 820 | 2008 |
Credit risk assessment with a multistage neural network ensemble learning approach L Yu, S Wang, KK Lai Expert systems with applications 34 (2), 1434-1444, 2008 | 432 | 2008 |
A deep learning ensemble approach for crude oil price forecasting Y Zhao, J Li, L Yu Energy Economics 66, 9-16, 2017 | 369 | 2017 |
A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates L Yu, S Wang, KK Lai Computers & Operations Research 32 (10), 2523-2541, 2005 | 354 | 2005 |
A new method for crude oil price forecasting based on support vector machines W Xie, L Yu, S Xu, S Wang Computational Science–ICCS 2006: 6th International Conference, Reading, UK …, 2006 | 351 | 2006 |
A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support L Yu, KK Lai Decision Support Systems 51 (2), 307-315, 2011 | 344 | 2011 |
Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method X Zhang, L Yu, S Wang, KK Lai Energy Economics 31 (5), 768-778, 2009 | 299 | 2009 |
An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring L Yu, S Wang, KK Lai European journal of operational research 195 (3), 942-959, 2009 | 275 | 2009 |
Evolving least squares support vector machines for stock market trend mining L Yu, H Chen, S Wang, KK Lai IEEE transactions on evolutionary computation 13 (1), 87-102, 2008 | 266 | 2008 |
Online big data-driven oil consumption forecasting with Google trends L Yu, Y Zhao, L Tang, Z Yang International Journal of Forecasting 35 (1), 213-223, 2019 | 249 | 2019 |
Crude oil price forecasting with TEI@ I methodology KK Lai 系统科学与复杂性学报: 英文版 18 (2), 145-166, 2005 | 244 | 2005 |
Carbon emissions trading scheme exploration in China: A multi-agent-based model L Tang, J Wu, L Yu, Q Bao Energy Policy 81, 152-169, 2015 | 232 | 2015 |
Least squares support vector machines ensemble models for credit scoring L Zhou, KK Lai, L Yu Expert systems with applications 37 (1), 127-133, 2010 | 218 | 2010 |
A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting L Yu, W Dai, L Tang Engineering Applications of Artificial Intelligence 47, 110-121, 2016 | 216 | 2016 |
Support vector machine based multiagent ensemble learning for credit risk evaluation L Yu, W Yue, S Wang, KK Lai Expert Systems with Applications 37 (2), 1351-1360, 2010 | 215 | 2010 |
Multistage RBF neural network ensemble learning for exchange rates forecasting L Yu, KK Lai, S Wang Neurocomputing 71 (16-18), 3295-3302, 2008 | 215 | 2008 |
An integrated data preparation scheme for neural network data analysis L Yu, S Wang, KK Lai IEEE Transactions on Knowledge and Data Engineering 18 (2), 217-230, 2005 | 201 | 2005 |
Neural networks in finance and economics forecasting W Huang, KK Lai, Y Nakamori, S Wang, L Yu International Journal of Information Technology & Decision Making 6 (01 …, 2007 | 200 | 2007 |
A neural-network-based nonlinear metamodeling approach to financial time series forecasting L Yu, S Wang, KK Lai Applied Soft Computing 9 (2), 563-574, 2009 | 191 | 2009 |
A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting L Tang, L Yu, S Wang, J Li, S Wang Applied Energy 93, 432-443, 2012 | 184 | 2012 |