Shian-Chang Huang - researchr alias

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Viewing Publication 1 - 32 from 32

2021

A predictive intelligence system of credit scoring based on deep multiple kernel learningCheng-Feng Wu, Shian-Chang Huang, Chei-Chang Chiou, Yu-Min Wang. asc, 111:107668, 2021. [doi]

2020

2015

Intelligent data mining systems by generalized multiple kernel machines on graph based subspaceShian-Chang Huang, Tung-Kuang Wu. ram 2015: [doi]

2012

Kernel local Fisher discriminant analysis based manifold-regularized SVM model for financial distress predictionsShian-Chang Huang, Yu-Cheng Tang, Chih-Wei Lee, Ming-Jen Chang. eswa, 39(3):3855-3861, 2012. [doi]

2011

Wavelet-based multi-resolution GARCH model for financial spillover effectsShian-Chang Huang. mcs, 81(11):2529-2539, 2011. [doi]

Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecastingShian-Chang Huang. amc, 217(15):6755-6764, 2011. [doi]

Using Gaussian process based kernel classifiers for credit rating forecastingShian-Chang Huang. eswa, 38(7):8607-8611, 2011. [doi]

Credit quality assessments using manifold based semi-supervised discriminant analysis and support vector machinesShian-Chang Huang, Tung-Kuang Wu. icnc 2011: 2037-2041 [doi]

Forecasting stock indices with wavelet domain kernel partial least square regressionsShian-Chang Huang. asc, 11(8):5433-5443, 2011. [doi]

Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning DisabilitiesTung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng, Wen-Yau Liang, Yu-Chi Lin. ijcisys, 4(1):29-43, 2011. [doi]

2010

2009

A case study of applying data mining techniques in an outfitter s customer value analysisShian-Chang Huang, En-Chi Chang, Hsin-Hung Wu. eswa, 36(3):5909-5915, 2009. [doi]

Integrating nonlinear graph based dimensionality reduction schemes with SVMs for credit rating forecastingShian-Chang Huang. eswa, 36(4):7515-7518, 2009. [doi]

Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples ClusteringTung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng, Yu-Chi Lin. rskt 2009: 94-101 [doi]

2008

2007

Improving ANN classification accuracy for the identification of students with LDs through evolutionary computationTung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng. cec 2007: 4358-4364 [doi]

2006

A Hybrid Unscented Kalman Filter and Support Vector Machine Model in Option Price ForecastingShian-Chang Huang, Tung-Kuang Wu. icnc 2006: 303-312 [doi]

Wavelet-Based Relevance Vector Machines for Stock Index ForecastingShian-Chang Huang, Tung-Kuang Wu. ijcnn 2006: 603-609 [doi]

Combining Monte Carlo Filters with Support Vector Machines for Option Price ForecastingShian-Chang Huang, Tung-Kuang Wu. rsctc 2006: 607-616 [doi]

Combining Time-Scale Feature Extractions with SVMs for Stock Index ForecastingShian-Chang Huang, Hsing-Wen Wang. iconip 2006: 390-399 [doi]

Combing Extended Kalman Filters and Support Vector Machines for Online Option Price ForecastingShian-Chang Huang. jcis 2006: [doi]

Hybrid Wavelet -SVMs for Modelling Derivatives ValuationHsing-Wen Wang, Shian-Chang Huang. jcis 2006: [doi]

Application of Artificial Neural Network to the Identification of Students with Learning DisabilitiesTung-Kuang Wu, Ying-Ru Meng, Shian-Chang Huang. pricai 2006: 162-168

Effects of Feature Selection on the Identification of Students with Learning Disabilities Using ANNTung-Kuang Wu, Shian-Chang Huang, Ying-Ru Meng. icnc 2006: 565-574 [doi]

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2021

2020

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2006

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