Shian-Chang Huang

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 5

Top Topics

Multiple Kernel

Laplacian Eigenmaps

Financial Distress

Intelligent Data Mining

Top Venues

J. Comput. Appl. Math.

Expert Syst. Appl.

Publications

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 (2021)
Shian-Chang Huang, Chei-Chang Chiou, Jui-Te Chiang, Cheng-Feng Wu
A novel intelligent option price forecasting and trading system by multiple kernel adaptive filters. J. Comput. Appl. Math. 369 (2020)
Cheng-Feng Wu, Shian-Chang Huang, Tsangyao Chang, Chei-Chang Chiou, Hsin-Pei Hsueh
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 (2020)
Shian-Chang Huang, Chei-Chang Chiou, Jui-Te Chiang, Cheng-Feng Wu
Online sequential pattern mining and association discovery by advanced artificial intelligence and machine learning techniques. Soft Comput. 24 (11) (2020)
Shian-Chang Huang, Tung-Kuang Wu
Intelligent data mining systems by generalized multiple kernel machines on graph based subspace. RAM/CIS (2015)
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) (2012)
Shian-Chang Huang, Tung-Kuang Wu
Credit quality assessments using manifold based semi-supervised discriminant analysis and support vector machines. ICNC (2011)
Shian-Chang Huang
Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting. Appl. Math. Comput. 217 (15) (2011)
Shian-Chang Huang
Using Gaussian process based kernel classifiers for credit rating forecasting. Expert Syst. Appl. 38 (7) (2011)
Shian-Chang Huang
Wavelet-based multi-resolution GARCH model for financial spillover effects. Math. Comput. Simul. 81 (11) (2011)
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) (2011)
Shian-Chang Huang
Forecasting stock indices with wavelet domain kernel partial least square regressions. Appl. Soft Comput. 11 (8) (2011)
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) (2010)
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) (2010)
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)
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)
Shian-Chang Huang
Integrating nonlinear graph based dimensionality reduction schemes with SVMs for credit rating forecasting. Expert Syst. Appl. 36 (4) (2009)
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) (2009)
Shian-Chang Huang, Tung-Kuang Wu
Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting. Expert Syst. Appl. 35 (4) (2008)
Shian-Chang Huang
Online option price forecasting by using unscented Kalman filters and support vector machines. Expert Syst. Appl. 34 (4) (2008)
Shian-Chang Huang, Tung-Kuang Wu
Forecasting stock indices with wavelet-based kernel partial least square regressions. IJCNN (2008)
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) (2008)
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) (2008)
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)
Shian-Chang Huang, Hsing-Wen Wang
Combining Time-Scale Feature Extractions with SVMs for Stock Index Forecasting. ICONIP (3) (2006)
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)
Shian-Chang Huang, Tung-Kuang Wu
A Hybrid Unscented Kalman Filter and Support Vector Machine Model in Option Price Forecasting. ICNC (1) (2006)
Hsing-Wen Wang, Shian-Chang Huang
Hybrid Wavelet -SVMs for Modelling Derivatives Valuation. JCIS (2006)
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)
Shian-Chang Huang, Tung-Kuang Wu
Combining Monte Carlo Filters with Support Vector Machines for Option Price Forecasting. RSCTC (2006)
Shian-Chang Huang, Tung-Kuang Wu
Wavelet-Based Relevance Vector Machines for Stock Index Forecasting. IJCNN (2006)
Shian-Chang Huang
Combing Extended Kalman Filters and Support Vector Machines for Online Option Price Forecasting. JCIS (2006)