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徐銘甫 助理教授

姓名 職稱

Name&Title

徐銘甫

助理教授

Assistant Professor

學歷

國立暨南國立大學 國際企業學系 博士

 

經歷

中國文化大學 全球商務學士學位學程 專任助理教授

國立中山大學資訊管理學系博士後研究員

專長領域

財務會計、資料/文字探勘、績效評估

Publication

Periodical Paper(期刊論文)

  1. Ming-Fu Hsu* (2019), A Fusion Mechanism for Management Decision and Risk Analysis. Cybernetics and Systems, 50, pp. 497-515 (SCI)
  2. S.-J. Lin, Ming-Fu Hsu* (2018), Decision making by extracting soft information from CSR news report. Technological and Economic Development of Economy, 24, pp. 1344-1361 (SSCI)
  3. Ming-Fu Hsu*, C. C. Yeh, S.-J. Lin (2018), Integrating Dynamic Malmquist DEA and Social Network Computing for Advanced Management Decisions. Journal of Intelligent & Fuzzy Systems, 35, pp. 231-241 (SCI)
  4. T.-M. Chang, Ming-Fu Hsu* (2018) Integration of incremental filter-wrapper selection strategy with artificial intelligence for enterprise risk management. International Journal of Machine Learning and Cybernetics 9 (3), pp. 477-489 (SCI)
  5. T.-M. Chang, Ming-Fu Hsu*, S.-J. Lin (2018), Integrated News Mining Technique and AI-Based Mechanism for Corporate Performance Forecasting. Information Sciences, 424, pp. 273-286. (SCI)
  6. S. J. Lin, Ming-Fu Hsu* (2017), Incorporated risk metrics and hybrid AI techniques for risk management. Neural Computing and Applications 28(11), pp.3477-3489. (SCI)
  7. P.-F. Pai, Y.-S. Tan, Ming-Fu Hsu (2015) Credit rating analysis by the decision-tree support vector machine with ensemble strategies, International Journal of Fuzzy Systems 17 (4), 521-530 (SCI)
  8. S.-J. Lin, C.-S. Wang, Ming-Fu Hsu* (2014) Selection of multiple combination strategies for risk assessment. Cybernetics and Systems 45 (8), 622-634 (SCI)
  9. C.-H. Shih, S.-J. Lin, Ming-Fu Hsu (2014) Detection of financial information manipulation by an ensemble-based mechanism. Neural Network World 5(14), 479-499 (SCI)
  10. S.-J. Lin, Ming-Fu Hsu* (2014) Enhanced risk management by an emerging multi-agent architecture. Connection Science 26(3), 245-259 (SCI)
  11. J.-J. Liao, C.-H. Shih, T.-F. Chen, Ming-Fu Hsu (2014) An ensemble-based model for two-class imbalanced financial problem. Economic Modelling 37, 175-183 (SSCI)
  12. P.-F. Pai, Ming-Fu Hsu, L. Lin (2013) Enhancing Decisions with Life Cycle Analysis for Risk Management. Neural Computing and Applications 24(7–8), 1717-1724 (SCI)
  13. S.-J. Lin, C. Chang, Ming-Fu Hsu (2013) Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction. Knowledge-Based Systems 39, 214-223 (SCI)
  14. T.-C. Wu, Ming-Fu Hsu*(2012) Credit risk assessment and decision making by a fusion approach. Knowledge-Based Systems 35, 102-110 (SCI)
  15. Hsu, Ming-Fu and P.-F. Pai (2013) Incorporating support vector machines with multiple criteria decision making for financial crisis analysis. Quality & Quantity 47(6), 3481–3492 (SSCI)
  16. P.-F. Pai, Ming-Fu Hsu, M.-C. Wang (2011) A support vector machine-based model for detecting top management fraud. Knowledge-Based Systems 24(2), 314-321 (SCI)

 

研討會論文(Conference Papers)

  1. Pamyl Chou, Paul Jehnley Chou, Ming-Fu Hsu, T.-M. Chang, F.-H. Chen, S.-J. Lin, Integrated Annual Report Readability and Dominance-based Rough Set Theory to Forecast Corporate's Operating Performance, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
  2. K.-P. Lin,T.-M. Chang, Ming-Fu Hsu, S.-J. Lin, William S. Chao, A Structure-Behavior Coalescence Method for Integrating SysML Internal Block Diagram with Activity Diagram, 2019 10th IEEE Control and System Graduate Research Colloquium (ICSGRC 2019)
  3. T.-M. Chang, F.-H. Chen, S.-J. Lin, Ming-Fu Hsu*, Integrated multiple DEA specifications and visualization technique for advanced management analysis and decision, 20th IEEE International Conference on Mobile Data Management (MDM 2019--MobiSocial)
  4. T.-M. Chang, C.-H Lin, Ming-Fu Hsu, H.-Y Kao, S.-J. Lin, Intelligent Healthcare Website Design with Keyword Cues to Facilitate Online Health Information Search (KES-InMed-2019)
  5. Ming-Fu Hsu*, S.-J. Lin, T.-M. Chang, F.-H. Chen, The Impact of CSR’s Multi-dimensions on Performance Assessment: A Joint Utilization of Latent Topic Modelling and Support Vector Machine. 2018 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018)Ministry of Science and Technology Recommended
  6. T. M. Chang, G. S. Hu. Ming-Fu Hsu*, S. J. Lin, Incorporating Soft Information from Financial News Media for Management Decision in Dynamic Business Environments, 2017 Pre-ICIS Workshop on Accounting Information Systems  (ICIS 2017)- Ministry of Science and Technology Recommended
  7. T. M. Chang, Ming-Fu Hsu*, G. H. Hu, K. P. Lin, Integration of Social Media News Mining and Text Mining Techniques to Determine a Corporate’s Competitive Edge, Pacific Asia Conference on Information Systems  (PACIS 2017) - Ministry of Science and Technology Recommended
  8. T. M. Chang, Ming-Fu Hsu*, G. H. Hu, K. P. Lin, Salient Corporate Performance Forecasting based on Financial and Textual Information, 2016 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2016) - Ministry of Science and Technology Recommended
  9. T.-M. Chang, C.-H. Sung, G.-H. Hu, Ming-Fu Hsu*, K.-P. Lin, Identifying Highly Potential Enterprises with Social Computing on Supply Chain Networks, The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015) - Ministry of Science and Technology Recommended
  10. J.-H. Wu, S.-S. Shin, T.-M. Chang, A. Gupta, Ming-Fu Hsu, Ex-Ante PLM Misfit Analysis Methodology: A Cognitive Fit Approach, Pacific Asia Conference on Information Systems  (PACIS 2015 ) - Ministry of Science and Technology Recommended

 

 

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