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• 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)

• 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)

• 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

• 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)

• 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

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

  Huang, S. C. & Wu, T. K., 2015 Sep 23, Proceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2015 and Robotics, Automation and Mechatronics, RAM 2015. Institute of Electrical and Electronics Engineers Inc., p. 120-125 6 p. 7274559. (Proceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2015 and Robotics, Automation and Mechatronics, RAM 2015).

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

  • Factorization
  • Data mining
  • Tensors
  • Industry

• 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)

• Using stepwise reality check to analyze open-end fund investors’n herding redemption in Taiwan

  Wang, N. Y., Huang, C. J., Hsu, Y. L. & Huang, S-C., 2015 Jan 1, In: International Journal of Economics and Financial Issues. 5, 1, p. 260-272 13 p.

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

  • Reality Check
  • Herding
  • Taiwan
  • Damage
  • Data Snooping

• 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)