Shian-Chang Huang

发表

Using Gaussian process based kernel classifiers for credit rating forecasting

Shian-Chang Huang, Shian-Chang Huang, 2011, Expert Syst. Appl..

Intelligent data mining systems by generalized multiple kernel machines on graph based subspace

Shian-Chang Huang, Tung-Kuang Wu, Shian-Chang Huang, 2015, 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM).

Robust Semi-Supervised SVM on Kernel Partial Least Discriminant Space for High Dimensional Data Mining

Shian-Chang Huang, Tung-Kuang Wu, Shian-Chang Huang, 2012, 2012 International Conference on Information Science and Applications.

A case study of applying spectral clustering technique in the value analysis of an outfitter’s customer database

Hsin-Hung Wu, Shian-Chang Huang, En-Chi Chang, 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

Effects of Feature Selection on the Identification of Students with Learning Disabilities Using ANN

Shian-Chang Huang, Tung-Kuang Wu, Ying-Ru Meng, 2006, ICNC.

Combining Time-Scale Feature Extractions with SVMs for Stock Index Forecasting

Hsing-Wen Wang, Shian-Chang Huang, Hsing-Wen Wang, 2006, ICONIP.

Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting

Shian-Chang Huang, Shian-Chang Huang, 2011, Appl. Math. Comput..

Using Bayesian Network and LRFM Model in a Pediatric Dental Clinic

Hsin-Hung Wu, Shian-Chang Huang, Jo-Ting Wei, 2012, 2012 International Symposium on Computer, Consumer and Control.

An intelligent credit forecasting system using supervised nonlinear dimensionality reductions

Chih-Wei Lee, Shian-Chang Huang, Tung-Kuang Wu, 2010 .

Combining Monte Carlo Filters with Support Vector Machines for Option Price Forecasting

Shian-Chang Huang, Tung-Kuang Wu, Tung-Kuang Wu, 2006, RSCTC.

Wavelet-Based Relevance Vector Machines for Stock Index Forecasting

Shian-Chang Huang, Tung-Kuang Wu, Shian-Chang Huang, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Combing Extended Kalman Filters and Support Vector Machines for Online Option Price Forecasting

Shian-Chang Huang, Shian-Chang Huang, 2006, JCIS.

Improving ANN classification accuracy for the identification of students with LDs through evolutionary computation

Shian-Chang Huang, Tung-Kuang Wu, Ying-Ru Meng, 2007, 2007 IEEE Congress on Evolutionary Computation.

Using SVMs with embedded recursive feature selections for credit rating forecasting

Shian-Chang Huang, Ming-Hsiang Huang, 2010 .

Forecasting stock indices with wavelet-based kernel partial least square regressions

Shian-Chang Huang, Tung-Kuang Wu, Shian-Chang Huang, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Wavelet-based multi-resolution GARCH model for financial spillover effects

Shian-Chang Huang, Shian-Chang Huang, Shian-Chang Huang, 2011, Math. Comput. Simul..

Combining wavelet-based feature extractions with SVMs for financial time series forecasting

Shian-Chang Huang, Shian-Chang Huang, 2008 .

Oil Price Forecasting with Hierarchical Multiple Kernel Machines

Shian-Chang Huang, Lung-Fu Chang, 2014, 2014 International Symposium on Computer, Consumer and Control.

Combining Artificial Bee Colony and Genetic Algorithms to Enhance the GPGPU-based ANN Classifier for Identifying Students with Learning Disabilities

Shian-Chang Huang, Tung-Kuang Wu, Ying-Ru Meng, 2015 .

A Hybrid Unscented Kalman Filter and Support Vector Machine Model in Option Price Forecasting

Shian-Chang Huang, Tung-Kuang Wu, Shian-Chang Huang, 2006, ICNC.

Kernel local Fisher discriminant analysis based manifold-regularized SVM model for financial distress predictions

Chih-Wei Lee, Shian-Chang Huang, Yu-Cheng Tang, 2012, Expert Syst. Appl..

Online sequential pattern mining and association discovery by advanced artificial intelligence and machine learning techniques

Shian-Chang Huang, Chei-Chang Chiou, Jui Te Chiang, 2020, Soft Comput..

On the parallelization and optimization of the genetic-based ANN classifier for the diagnosis of students with learning disabilities

Shian-Chang Huang, Tung-Kuang Wu, Ying-Ru Meng, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Hybrid Wavelet -SVMs for Modelling Derivatives Valuation

Hsing-Wen Wang, Shian-Chang Huang, 2006, JCIS.

Combining wavelet‐based feature extractions with relevance vector machines for stock index forecasting

Shian-Chang Huang, Tung-Kuang Wu, Shian-Chang Huang, 2008, Expert Syst. J. Knowl. Eng..

A case study of applying data mining techniques in an outfitter's customer value analysis

Hsin-Hung Wu, Shian-Chang Huang, En-Chi Chang, 2009, Expert Syst. Appl..

Online option price forecasting by using unscented Kalman filters and support vector machines

Shian-Chang Huang, Shian-Chang Huang, 2008, Expert Syst. Appl..

Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples Clustering

Shian-Chang Huang, Tung-Kuang Wu, Ying-Ru Meng, 2009, RSKT.

Integrating recurrent SOM with wavelet-based kernel partial least square regressions for financial forecasting

Shian-Chang Huang, Tung-Kuang Wu, Shian-Chang Huang, 2010, Expert Syst. Appl..

High Dimensional Data Mining Systems by Kernel Orthonormalized Partial Least Square Analysis

Shian-Chang Huang, Tung-Kuang Wu, Nan-Yu Wang, 2015 .

Application of Artificial Neural Network to the Identification of Students with Learning Disabilities

Shian-Chang Huang, Tung-Kuang Wu, Ying-Ru Meng, 2006, IC-AI.

Credit quality assessments using manifold based semi-supervised discriminant analysis and support vector machines

Shian-Chang Huang, Tung-Kuang Wu, 2011, 2011 Seventh International Conference on Natural Computation.

A big data analysis system for financial trading

Shian-Chang Huang, 2017 .

Forecasting stock indices with wavelet domain kernel partial least square regressions

Shian-Chang Huang, Shian-Chang Huang, 2011, Appl. Soft Comput..

Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities

Wen-Yau Liang, Shian-Chang Huang, Tung-Kuang Wu, 2011, Int. J. Comput. Intell. Syst..

Financial Forecasting by Modified Kalman Filters and Kernel Machines

Yi-Ching Lee, Shian-Chang Huang, Lung-Fu Chang, 2013 .

Evaluation of ANN and SVM classifiers as predictors to the diagnosis of students with learning disabilities

Shian-Chang Huang, Tung-Kuang Wu, Ying-Ru Meng, 2008, Expert Syst. Appl..

Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting

Shian-Chang Huang, Tung-Kuang Wu, Shian-Chang Huang, 2008, Expert Syst. Appl..

Energy Commodity Price Forecasting with Deep Multiple Kernel Learning

Shian-Chang Huang, Cheng Feng Wu, C. Wu, 2018, Energies.

Chaos-based support vector regressions for exchange rate forecasting

Shian-Chang Huang, Cheng-Feng Wu, Pei-Ju Chuang, 2010, Expert Syst. Appl..

Intelligent FinTech Data Mining by Advanced Deep Learning Approaches

Shian-Chang Huang, Cheng-Feng Wu, Chei Chang Chiou, 2021, Computational Economics.

A predictive intelligence system of credit scoring based on deep multiple kernel learning

Shian-Chang Huang, Chei-Chang Chiou, Cheng-Feng Wu, 2021, Appl. Soft Comput..

Time-Varying Dependency and Structural Changes in Currency Markets

Shian-Chang Huang, Chia-Hsun Hsieh, Chia-Hsun Hsieh, 2012 .

Combining ICA with Kernel Based Regressions for Trading Support Systems on Financial Options

Chih-Wei Lee, Shian-Chang Huang, Shian-Chang Huang, 2010 .

Integrating GA with Boosting Methods for Financial Distress Predictions

Shian-Chang Huang, Hsin-Yu Liu, 2010 .

Using supervised kernel locality preserving projections to improve classifier performance on credit rating forecasting

Chih-Wei Lee, Shian-Chang Huang, Tung-Kuang Wu, 2011 .