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• 2011

  Customizing asynchronous parallel pattern search algorithm to improve ANN classifier for learning disabilities students identification

  Wu, T. K., Huang, S. C., Chiou, W. W. & Meng, Y. R., 2011 Oct 6, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. p. 1639-1643 5 p. 6022322. (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011; vol. 3).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Identification (Psychology)
  • Learning Disorders
  • Students
  • Classifiers
  • Neural networks
  3 Citations (Scopus)
• 2014

  Oil price forecasting with hierarchical multiple kernel machines

  Huang, S. C. & Chang, L. F., 2014 Jan 1, Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014. IEEE Computer Society, p. 260-263 4 p. 6845868. (Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Oils
  • Financial markets
  • Gold
  • Neural networks
• 2011

  Applying GARCH-EVT-copula models for portfolio value-at-risk on G7 currency markets

  Huang, S-C., Chienb, Y. H. & Wangc, R. C., 2011 Aug 1, In: International Research Journal of Finance and Economics. 74, p. 136-151 16 p.

  Research output: Contribution to journal › Article › peer-review

  • GJR-GARCH Model
  • Copula
  • Currency Market
  • GARCH
  • Value at Risk
  3 Citations (Scopus)
• 2017

  An intelligent system for business data mining

  Huang, S. C., Wu, T. K. & Wang, N. Y., 2017, In: Global Business and Finance Review. 22, 2, p. 1-7 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Business Data
  • Intelligent Systems
  • Kernel
  • Discriminant Analysis
  • Data Mining
  1 Citation (Scopus)
• 2011

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

  Huang, S-C. & Wu, T-K., 2011 Oct 6, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. Vol. 4. p. 2037-2041 5 p. 6022386

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Support Vector Machine
  • Discriminant Analysis
  • Discriminant analysis
  • Support vector machines
  • Classifiers
• 2013

  Composite kernel machines on kernel local fisher discriminant space for financial data mining

  Huang, S-C. & Wu, T-K., 2013 Dec 1, IET International Conference on Information and Communications Technologies, IETICT 2013. 618 CP ed. Vol. 2013. p. 58-63 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining
  • Composite materials
• 2017

  A big data analysis system for financial trading

  Huang, S. C., 2017, In: Global Business and Finance Review. 22, 3, p. 32-44 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Systems Analysis
  • Big Data
  • Kernel
  • Feature Extraction
  • Risk Management
  1 Citation (Scopus)
• 2016

  A new approach to identify high burnout medical staffs by kernel K-means cluster analysis in a regional teaching hospital in Taiwan

  Lee, Y. C., Huang, S. C., Huang, C. H. & Wu, H. H., 2016, In: Inquiry (United States). 53

  Research output: Contribution to journal › Article › peer-review

  • Psychological Burnout
  • Medical Staff
  • Taiwan
  • Teaching Hospitals
  • Cluster Analysis
  11 Citations (Scopus)
• 2013

  High-dimensional data mining in finance by Robust semi-supervised Kernel classifiers on maximum covariance discriminant subspace

  Huang, S. C. & Wu, T. K., 2013 Oct, In: Information (Japan). 16, 10, p. 7473-7492 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Finance
  • Data mining
  • Classifiers
  • Separators
  • Support vector machines
• 2018

  Energy commodity price forecasting with deep multiple kernel learning

  Huang, S. C. & Wu, C. F., 2018 Nov, In: Energies. 11, 11, 3029.

  Research output: Contribution to journal › Article › peer-review

  • Forecasting
  • Learning
  • kernel
  • Energy
  • Oils
  2 Citations (Scopus)
• 2011

  Forecasting stock indices with wavelet domain kernel partial least square regressions

  Huang, S-C., 2011 Dec 1, In: Applied Soft Computing Journal. 11, 8, p. 5433-5443 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Wavelet analysis
  • Time series
  • Support vector machines
  • Neural networks
  24 Citations (Scopus)

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

  Huang, S. C., 2011 Jul 1, In: Mathematics and Computers in Simulation. 81, 11, p. 2529-2539 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Stock Index
  • Taiwan
  • GARCH Model
  • Multiresolution
  • Volatility
  24 Citations (Scopus)

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

  Huang, S. C., 2011 Apr 1, In: Applied Mathematics and Computation. 217, 15, p. 6755-6764 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Financial Modeling
  • Spectral Clustering
  • Partial Least Squares Regression
  • Forecasting
  • Wavelets
  7 Citations (Scopus)

• Using Gaussian process based kernel classifiers for credit rating forecasting

  Huang, S-C., 2011 Jul 1, In: Expert Systems with Applications. 38, 7, p. 8607-8611 5 p.

  Research output: Contribution to journal › Article › peer-review

  • Support vector machines
  • Classifiers
  • Labels
  • Feature extraction
  • Economics
  19 Citations (Scopus)

• Rough sets as a knowledge discovery and classification tool for the diagnosis of students with learning disabilities

  Wu, T. K., Huang, S. C., Meng, Y. R., Liang, W. Y. & Lin, Y. C., 2011 Feb, In: International Journal of Computational Intelligence Systems. 4, 1, p. 29-43 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Disability
  • Knowledge Discovery
  • Rough Set
  • Learning
  • Data mining
  6 Citations (Scopus)