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• 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)

• 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
  13 Citations (Scopus)

• 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)

• A novel intelligent option price forecasting and trading system by multiple kernel adaptive filters

  Huang, S. C., Chiou, C. C., Chiang, J. T. & Wu, C. F., 2020 May 1, In: Journal of Computational and Applied Mathematics. 369, 112560.

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

  • Adaptive Filter
  • Forecasting
  • Adaptive filters
  • kernel
  • Glossaries
  1 Citation (Scopus)

• 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)

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

  Huang, S-C., Tang, Y-C., Lee, C. W. & Chang, M. J., 2012 Feb 15, In: Expert Systems with Applications. 39, 3, p. 3855-3861 7 p.

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

  • Discriminant analysis
  • Support vector machines
  • Classifiers
  • Pattern recognition
  • Geometry
  19 Citations (Scopus)

• 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

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

  Huang, S. C., Chiou, C. C., Chiang, J. T. & Wu, C. F., 2020 Jun 1, In: Soft Computing. 24, 11, p. 8021-8039 19 p.

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

  • Sequential Patterns
  • Mining
  • Artificial Intelligence
  • Machine Learning
  • Artificial intelligence
  2 Citations (Scopus)

• Robust semi-supervised SVM on kernel partial least discriminant space for high dimensional data mining

  Huang, S-C. & Wu, T-K., 2012 Jul 30, 2012 International Conference on Information Science and Applications, ICISA 2012. 6220924. (2012 International Conference on Information Science and Applications, ICISA 2012).

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

  • Data mining
  • Support vector machines
  • Classifiers
  • Separators
  • Pattern recognition

• The nexus of financial development and economic growth across major Asian economies: Evidence from bootstrap ARDL testing and machine learning approach

  Wu, C. F., Huang, S. C., Chang, T., Chiou, C. C. & Hsueh, H. P., 2020 Jul, In: Journal of Computational and Applied Mathematics. 372, 112660.

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

  • Economic Growth
  • Machine Learning
  • India
  • Government
  • Japan
  4 Citations (Scopus)

• Time-varying dependency and structural changes in currency markets

  Hsieh, C. H. & Huang, S. C., 2012 Mar 1, In: Emerging Markets Finance and Trade. 48, 2, p. 94-127 34 p.

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

  • Currency Market
  • Structural Change
  • Taiwan
  • Time-varying
  • Currency Depreciation
  4 Citations (Scopus)

• Using Bayesian network and LRFM model in a pediatric dental clinic

  Huang, S-C., Wei, J. T., Lin, S. Y. & Wu, H-H., 2012 Jul 30, Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. p. 20-23 4 p. 6228238. (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012).

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

  • Pediatrics
  • Bayesian networks
  • Health insurance
  1 Citation (Scopus)

• Wavelet-based relevance vector regression model coupled with phase space reconstruction for exchange rate forecasting

  Huang, S. C. & Hsieh, C. H., 2012 Mar 1, In: International Journal of Innovative Computing, Information and Control. 8, 3 A, p. 1917-1930 14 p.

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

  • Phase Space Reconstruction
  • Exchange rate
  • Forecasting
  • Relevance
  • Wavelets
  6 Citations (Scopus)