Find Research Outputs

Search results

• 2012

  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
• 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)
• 2015

  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
• 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)
• 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)
• 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
• 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
• 2012

  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)
• 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)

• 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)
• 2012

  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)
• 2011

  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)
• 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
• 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
• 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)
• 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)
• 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)

• 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)
• 2012

  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)
• 2011

  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)
• 2020

  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)
• 2011

  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)