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• 2020

  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)

• 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)

• 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)
• 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)
• 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)

• 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)
• 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
  13 Citations (Scopus)
• 2015

  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

• 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
• 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
• 2012

  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)

• 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

• 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)