Shian-Chang Huang

32 papers B 4Misc 2Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A predictive intelligence system of credit scoring based on deep multiple kernel learning. Appl. Soft Comput. Cheng-Feng Wu, Shian-Chang Huang, Chei-Chang Chiou, Yu-Min Wang
2020	J	`jnl`	A novel intelligent option price forecasting and trading system by multiple kernel adaptive filters. J. Comput. Appl. Math. Shian-Chang Huang, Chei-Chang Chiou, Jui-Te Chiang, Cheng-Feng Wu
2020	J	`jnl`	Online sequential pattern mining and association discovery by advanced artificial intelligence and machine learning techniques. Soft Comput. Shian-Chang Huang, Chei-Chang Chiou, Jui-Te Chiang, Cheng-Feng Wu
2020	J	`jnl`	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. Cheng-Feng Wu, Shian-Chang Huang, Tsangyao Chang, Chei-Chang Chiou, Hsin-Pei Hsueh
2015	—	`conf`	Intelligent data mining systems by generalized multiple kernel machines on graph based subspace. RAM/CIS Shian-Chang Huang, Tung-Kuang Wu
2012	J	`jnl`	Kernel local Fisher discriminant analysis based manifold-regularized SVM model for financial distress predictions. Expert Syst. Appl. Shian-Chang Huang, Yu-Cheng Tang, Chih-Wei Lee, Ming-Jen Chang
2011	Misc	`conf`	Credit quality assessments using manifold based semi-supervised discriminant analysis and support vector machines. ICNC Shian-Chang Huang, Tung-Kuang Wu
2011	J	`jnl`	Forecasting stock indices with wavelet domain kernel partial least square regressions. Appl. Soft Comput. Shian-Chang Huang
2011	J	`jnl`	Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting. Appl. Math. Comput. Shian-Chang Huang
2011	J	`jnl`	Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities. Int. J. Comput. Intell. Syst. Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng, Wen-Yau Liang, Yu-Chi Lin
2011	J	`jnl`	Using Gaussian process based kernel classifiers for credit rating forecasting. Expert Syst. Appl. Shian-Chang Huang
2011	J	`jnl`	Wavelet-based multi-resolution GARCH model for financial spillover effects. Math. Comput. Simul. Shian-Chang Huang
2010	J	`jnl`	Chaos-based support vector regressions for exchange rate forecasting. Expert Syst. Appl. Shian-Chang Huang, Pei-Ju Chuang, Cheng-Feng Wu, Hiuen-Jiun Lai
2010	J	`jnl`	Integrating recurrent SOM with wavelet-based kernel partial least square regressions for financial forecasting. Expert Syst. Appl. Shian-Chang Huang, Tung-Kuang Wu
2010	B	`conf`	On the parallelization and optimization of the genetic-based ANN classifier for the diagnosis of students with learning disabilities. SMC Tung-Kuang Wu, Shian-Chang Huang, Y.-L. Lin, H. Chang, Ying-Ru Meng
2009	J	`jnl`	A case study of applying data mining techniques in an outfitter's customer value analysis. Expert Syst. Appl. Shian-Chang Huang, En-Chi Chang, Hsin-Hung Wu
2009	—	`conf`	Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples Clustering. RSKT Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng, Yi-Cheng Lin
2009	J	`jnl`	Integrating nonlinear graph based dimensionality reduction schemes with SVMs for credit rating forecasting. Expert Syst. Appl. Shian-Chang Huang
2008	J	`jnl`	Combining wavelet-based feature extractions with relevance vector machines for stock index forecasting. Expert Syst. J. Knowl. Eng. Shian-Chang Huang, Tung-Kuang Wu
2008	J	`jnl`	Evaluation of ANN and SVM classifiers as predictors to the diagnosis of students with learning disabilities. Expert Syst. Appl. Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng
2008	B	`conf`	Forecasting stock indices with wavelet-based kernel partial least square regressions. IJCNN Shian-Chang Huang, Tung-Kuang Wu
2008	J	`jnl`	Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting. Expert Syst. Appl. Shian-Chang Huang, Tung-Kuang Wu
2008	J	`jnl`	Online option price forecasting by using unscented Kalman filters and support vector machines. Expert Syst. Appl. Shian-Chang Huang
2007	B	`conf`	Improving ANN classification accuracy for the identification of students with LDs through evolutionary computation. IEEE Congress on Evolutionary Computation Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng
2006	—	`conf`	A Hybrid Unscented Kalman Filter and Support Vector Machine Model in Option Price Forecasting. ICNC (1) Shian-Chang Huang, Tung-Kuang Wu
2006	Misc	`conf`	Application of Artificial Neural Network to the Identification of Students with Learning Disabilities. IC-AI Tung-Kuang Wu, Ying-Ru Meng, Shian-Chang Huang
2006	—	`conf`	Combing Extended Kalman Filters and Support Vector Machines for Online Option Price Forecasting. JCIS Shian-Chang Huang
2006	—	`conf`	Combining Monte Carlo Filters with Support Vector Machines for Option Price Forecasting. RSCTC Shian-Chang Huang, Tung-Kuang Wu
2006	—	`conf`	Combining Time-Scale Feature Extractions with SVMs for Stock Index Forecasting. ICONIP (3) Shian-Chang Huang, Hsing-Wen Wang
2006	—	`conf`	Effects of Feature Selection on the Identification of Students with Learning Disabilities Using ANN. ICNC (1) Tung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng
2006	—	`conf`	Hybrid Wavelet -SVMs for Modelling Derivatives Valuation. JCIS Hsing-Wen Wang, Shian-Chang Huang
2006	B	`conf`	Wavelet-Based Relevance Vector Machines for Stock Index Forecasting. IJCNN Shian-Chang Huang, Tung-Kuang Wu