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2010 – 2019
- 2019
[j4]Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Fusion of multiple indicators with ensemble incremental learning techniques for stock price forecasting. J. Bank. Financial Technol. 3(1): 33-42 (2019)- [c11]Jihoon Hong, Qiushi Wang, Xueheng Qiu, Hian-Leng Chan:
Remaining Useful Life Prediction Using Time-Frequency Feature and Multiple Recurrent Neural Networks. ETFA 2019: 916-923 - [c10]Wen Xin Cheng
, Ponnuthurai N. Suganthan, Xueheng Qiu, Rakesh Katuwal:
Classification of Stock Market Trends with Confidence-Based Selective Predictions. SEMCCO/FANCCO 2019: 93-104 - 2018
- [j3]Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting. Knowl. Based Syst. 145: 182-196 (2018) - [c9]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting. SSCI 2018: 1758-1763 - 2017
- [j2]Xueheng Qiu, Ye Ren, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting. Appl. Soft Comput. 54: 246-255 (2017) - [j1]Xueheng Qiu, Le Zhang, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Oblique random forest ensemble via Least Square Estimation for time series forecasting. Inf. Sci. 420: 249-262 (2017) - [c8]Xueheng Qiu, Huilin Zhu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Stock Price Forecasting with Empirical Mode Decomposition Based Ensemble \nu -Support Vector Regression Model. CICBA (1) 2017: 22-34 - [c7]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines. ICCS 2017: 1308-1317 - [c6]Wen Xin Cheng, Rakesh Katuwal, Ponnuthurai N. Suganthan, Xueheng Qiu:
A heterogeneous ensemble of trees. SSCI 2017: 1-6 - [c5]Xueheng Qiu, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques. SSCI 2017: 1-8 - 2016
- [c4]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Electricity load demand time series forecasting with Empirical Mode Decomposition based Random Vector Functional Link network. SMC 2016: 1394-1399 - 2015
- [c3]Ye Ren, Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network. SSCI 2015: 687-694 - 2014
- [c2]Xueheng Qiu, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble deep learning for regression and time series forecasting. CIEL 2014: 21-26 - [c1]Ye Ren, Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan:
Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting. CIEL 2014: 35-40
Coauthor Index
aka: Ponnuthurai Nagaratnam Suganthan
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