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Shian-Chang Huang
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2020 – today
- 2021
- [j18]Cheng-Feng Wu, Shian-Chang Huang, Chei-Chang Chiou, Yu-Min Wang
:
A predictive intelligence system of credit scoring based on deep multiple kernel learning. Appl. Soft Comput. 111: 107668 (2021) - 2020
- [j17]Shian-Chang Huang, Chei-Chang Chiou
A novel intelligent option price forecasting and trading system by multiple kernel adaptive filters. J. Comput. Appl. Math. 369 (2020) - [j16]Cheng-Feng Wu, Shian-Chang Huang, Tsangyao Chang, Chei-Chang Chiou
The nexus of financial development and economic growth across major Asian economies: Evidence from bootstrap ARDL testing and machine learning approach. J. Comput. Appl. Math. 372: 112660 (2020) - [j15]Shian-Chang Huang, Chei-Chang Chiou
Online sequential pattern mining and association discovery by advanced artificial intelligence and machine learning techniques. Soft Comput. 24(11): 8021-8039 (2020)
2010 – 2019
- 2015
- [c14]Shian-Chang Huang, Tung-Kuang Wu:
Intelligent data mining systems by generalized multiple kernel machines on graph based subspace. RAM/CIS 2015: CIS:120-125 - 2012
- [j14]Shian-Chang Huang, Yu-Cheng Tang, Chih-Wei Lee, Ming-Jen Chang:
Kernel local Fisher discriminant analysis based manifold-regularized SVM model for financial distress predictions. Expert Syst. Appl. 39(3): 3855-3861 (2012) - 2011
- [j13]Shian-Chang Huang:
Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting. Appl. Math. Comput. 217(15): 6755-6764 (2011) - [j12]Shian-Chang Huang:
Forecasting stock indices with wavelet domain kernel partial least square regressions. Appl. Soft Comput. 11(8): 5433-5443 (2011) - [j11]Shian-Chang Huang:
Using Gaussian process based kernel classifiers for credit rating forecasting. Expert Syst. Appl. 38(7): 8607-8611 (2011) - [j10]Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng, Wen-Yau Liang, Yu-Chi Lin:
Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities. Int. J. Comput. Intell. Syst. 4(1): 29-43 (2011) - [j9]Shian-Chang Huang:
Wavelet-based multi-resolution GARCH model for financial spillover effects. Math. Comput. Simul. 81(11): 2529-2539 (2011) - [c13]Shian-Chang Huang, Tung-Kuang Wu:
Credit quality assessments using manifold based semi-supervised discriminant analysis and support vector machines. ICNC 2011: 2037-2041 - 2010
- [j8]Shian-Chang Huang, Tung-Kuang Wu:
Integrating recurrent SOM with wavelet-based kernel partial least square regressions for financial forecasting. Expert Syst. Appl. 37(8): 5698-5705 (2010) - [j7]Shian-Chang Huang, Pei-Ju Chuang, Cheng-Feng Wu, Hiuen-Jiun Lai:
Chaos-based support vector regressions for exchange rate forecasting. Expert Syst. Appl. 37(12): 8590-8598 (2010) - [c12]Tung-Kuang Wu, Shian-Chang Huang, Y.-L. Lin, H. Chang, Ying-Ru Meng:
On the parallelization and optimization of the genetic-based ANN classifier for the diagnosis of students with learning disabilities. SMC 2010: 4263-4269
2000 – 2009
- 2009
- [j6]Shian-Chang Huang, En-Chi Chang, Hsin-Hung Wu
A case study of applying data mining techniques in an outfitter's customer value analysis. Expert Syst. Appl. 36(3): 5909-5915 (2009) - [j5]Shian-Chang Huang:
Integrating nonlinear graph based dimensionality reduction schemes with SVMs for credit rating forecasting. Expert Syst. Appl. 36(4): 7515-7518 (2009) - [c11]Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng, Yu-Chi Lin:
Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples Clustering. RSKT 2009: 94-101 - 2008
- [j4]Shian-Chang Huang, Tung-Kuang Wu:
Combining wavelet-based feature extractions with relevance vector machines for stock index forecasting. Expert Syst. J. Knowl. Eng. 25(2): 133-149 (2008) - [j3]Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng:
Evaluation of ANN and SVM classifiers as predictors to the diagnosis of students with learning disabilities. Expert Syst. Appl. 34(3): 1846-1856 (2008) - [j2]Shian-Chang Huang:
Online option price forecasting by using unscented Kalman filters and support vector machines. Expert Syst. Appl. 34(4): 2819-2825 (2008) - [j1]Shian-Chang Huang, Tung-Kuang Wu:
Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting. Expert Syst. Appl. 35(4): 2080-2088 (2008) - [c10]Shian-Chang Huang, Tung-Kuang Wu:
Forecasting stock indices with wavelet-based kernel partial least square regressions. IJCNN 2008: 1910-1916 - 2007
- [c9]Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng:
Improving ANN classification accuracy for the identification of students with LDs through evolutionary computation. IEEE Congress on Evolutionary Computation 2007: 4358-4364 - 2006
- [c8]Tung-Kuang Wu, Ying-Ru Meng, Shian-Chang Huang:
Application of Artificial Neural Network to the Identification of Students with Learning Disabilities. IC-AI 2006: 162-168 - [c7]Shian-Chang Huang, Tung-Kuang Wu:
A Hybrid Unscented Kalman Filter and Support Vector Machine Model in Option Price Forecasting. ICNC (1) 2006: 303-312 - [c6]Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng:
Effects of Feature Selection on the Identification of Students with Learning Disabilities Using ANN. ICNC (1) 2006: 565-574 - [c5]Shian-Chang Huang, Hsing-Wen Wang:
Combining Time-Scale Feature Extractions with SVMs for Stock Index Forecasting. ICONIP (3) 2006: 390-399 - [c4]Shian-Chang Huang, Tung-Kuang Wu:
Wavelet-Based Relevance Vector Machines for Stock Index Forecasting. IJCNN 2006: 603-609 - [c3]Shian-Chang Huang:
Combing Extended Kalman Filters and Support Vector Machines for Online Option Price Forecasting. JCIS 2006 - [c2]Hsing-Wen Wang, Shian-Chang Huang:
Hybrid Wavelet -SVMs for Modelling Derivatives Valuation. JCIS 2006 - [c1]Shian-Chang Huang, Tung-Kuang Wu:
Combining Monte Carlo Filters with Support Vector Machines for Option Price Forecasting. RSCTC 2006: 607-616
Coauthor Index
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