Shian-Chang Huang

According to our database1, Shian-Chang Huang authored at least 30 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
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., 2020

A novel intelligent option price forecasting and trading system by multiple kernel adaptive filters.
J. Comput. Appl. Math., 2020

2015
Intelligent data mining systems by generalized multiple kernel machines on graph based subspace.
Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

2012
Kernel local Fisher discriminant analysis based manifold-regularized SVM model for financial distress predictions.
Expert Syst. Appl., 2012

2011
Wavelet-based multi-resolution GARCH model for financial spillover effects.
Mathematics and Computers in Simulation, 2011

Rough Sets as a Knowledge Discovery and Classification Tool for the Diagnosis of Students with Learning Disabilities.
Int. J. Comput. Intell. Syst., 2011

Using Gaussian process based kernel classifiers for credit rating forecasting.
Expert Syst. Appl., 2011

Forecasting stock indices with wavelet domain kernel partial least square regressions.
Appl. Soft Comput., 2011

Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting.
Appl. Math. Comput., 2011

Credit quality assessments using manifold based semi-supervised discriminant analysis and support vector machines.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
Integrating recurrent SOM with wavelet-based kernel partial least square regressions for financial forecasting.
Expert Syst. Appl., 2010

Chaos-based support vector regressions for exchange rate forecasting.
Expert Syst. Appl., 2010

On the parallelization and optimization of the genetic-based ANN classifier for the diagnosis of students with learning disabilities.
Proceedings of the IEEE International Conference on Systems, 2010

2009
A case study of applying data mining techniques in an outfitter's customer value analysis.
Expert Syst. Appl., 2009

Integrating nonlinear graph based dimensionality reduction schemes with SVMs for credit rating forecasting.
Expert Syst. Appl., 2009

Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs through Mixed Samples Clustering.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

2008
Evaluation of ANN and SVM classifiers as predictors to the diagnosis of students with learning disabilities.
Expert Syst. Appl., 2008

Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting.
Expert Syst. Appl., 2008

Online option price forecasting by using unscented Kalman filters and support vector machines.
Expert Syst. Appl., 2008

Combining wavelet-based feature extractions with relevance vector machines for stock index forecasting.
Expert Systems, 2008

Forecasting stock indices with wavelet-based kernel partial least square regressions.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Improving ANN classification accuracy for the identification of students with LDs through evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Combining Monte Carlo Filters with Support Vector Machines for Option Price Forecasting.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Hybrid Wavelet -SVMs for Modelling Derivatives Valuation.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006

Combing Extended Kalman Filters and Support Vector Machines for Online Option Price Forecasting.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006

Wavelet-Based Relevance Vector Machines for Stock Index Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2006

Combining Time-Scale Feature Extractions with SVMs for Stock Index Forecasting.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Effects of Feature Selection on the Identification of Students with Learning Disabilities Using ANN.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

A Hybrid Unscented Kalman Filter and Support Vector Machine Model in Option Price Forecasting.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Application of Artificial Neural Network to the Identification of Students with Learning Disabilities.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006


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