休閒資訊管理學系 資2B導師(100級)
學術研究:資料探勘、模糊理論、統計分析。
教學主軸:統計、網頁設計、影像處理。
1.
王宏仁, *郭淑靜, 周佳志, 高志鵬, 李昇暾, ”基於深度學習智能化足壓分析之研究,” 2020
International Conference on Technologies and Applications of Artificial
Intelligence (TAAI 2020), 2020/12/3-5, 台北.
2.
Hung-Jen Wang, *Shu-Ching Kuo, Chia-Chih Chou,
Sheng-Tun Li, “Toward a CNN-based Intelligent Gait Analysis
System,” 2020 International Computer Symposium
(ICS2020), 2020/12/17-19, 台南.
3.
Shu-Ching Kuo, Chih-Chuan Chen,
Hung-Jen Wang*, Sheng-Tun Li, Hsuan-Yu Chen, “A Steady-State Probabilities
Model for Fuzzy Time Series Forecasting”, IIAI AAI 2016 - 4th International
Conference on Smart Computing and Artificial Intelligence (SCAI2016), July
10‐14, 2016, Kumamoto, Japan. (ISSN: ?)
4.
C.C. Chen, S.C. Kuo, Y.C. Cheng, P.C.
Chen, “Credit Rating with a Monotonicity‐Constrained Metric Learning Support
Vector Machine”, International Conference on Innovation and Management
(IAM2015), July 14‐17, 2015, Sapporo, Japan.( ISSN: 2218-6387)
5.
S.C. Kuo, C.C. Chen, H.J. Wang, S.T.
Li, P.K. Yang, “Developing a Dynamic
Project Portfolio System with fuzzy cognitive maps”, International Conference on Business and Information (BAI2015),
July 7-9, 2015, Macau.
6.
S.C. Kuo, C.C. Chen*, H.J. Wang, T.L. Chen, S.T.
Li, “Forecasting High Order Fuzzy Time Series with Minimum Recent Orders“, 2014
International conference on Technology, Innovation, and Industrial Management
(TIIM 2014), May 27-30, 2014, Seoul, South Korea. (ISSN:1906-7631)
7.
C.C. Chen, S.C. Kuo*, S.-T. Li, “Constructing a
Novel Monotonicity Constrained Support Vector Regression Model”, 2014 International
conference on Technology, Innovation, and Industrial Management (TIIM 2014),
May 27-30, 2014, Seoul, South Korea. (ISSN:1906-7631)
8.
C.C. Chen, S.C. Kuo, H.C. Chuang, S.T.
Li, “The Development of a Novel Fuzzy-Relation Based Predictive Model for
Outpatient Visits in Health Care” The 2013 International Conference on Medical
Innovation and Computing Service (MICS), August 2 to 4, 2013, Tainan, Taiwan.
9.
S.C. Kuo, H.J. Wang, S.T. Li, S.L. Huang,
“A novel two-variable forecasting model for fuzzy time series” International Conference on Business and
Information (BAI2013), July 7-9, 2013, Bali, Indonesia. (ISSN: 1729-9322)
10.
S.C. Kuo, H.J. Wang, C.C. Chen, P.L.
Huang, S.T. Li, “A Hybrid Fuzzy Matrix Modeling for Fuzzy Time Series
Forecasting” International Conference on Innovation and Management (IAM2012),
July 15-18, 2012, Palasia, Palau. (ISSN: 2218-6387)
11.
C. C. Chen, S. C. Kuo, C. T. Chien, Y.
C.Cheng and S. T. Li, “A Case-Based Refinement of Conceptual Knowledge”
International Conference on Innovation and Management (IAM2012), July 15-18,
2012, Palasia, Palau. (ISSN: 2218-6387)
12.
Kuo, S.C., Wang, H.J., Wei, H.Y., Cheng,
C.C., Li, S.T., “Applying MDL in PSO for Learning Bayesian Networks,” 2011 IEEE
International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Jun. 28-30, 2011,
Taipei, Taiwan. (ISSN: 1098-7584)
13.
Kuo, S.C., Wang, H.J., Chen, C.C., Huang,
R.L., Li, S.T., “Financial time series forecasting using the approach of fuzzy
time series,” 21st International Conference on the Pacific Rim Management (ACME
2011), July 9 - 11, 2011, Tainan, Taiwan. (ISSN: 1532-8260)
14.
Chen, C.C., Kuo, S.C., Kuo, M.C., and Li,
S.T., “Text mining with fuzzy conceptual clustering and
probabilistic topic modeling,” 21st International Conference on the Pacific Rim
Management(ACME 2011), July 9 - 11, 2011, Tainan, Taiwan. (ISSN:
1532-8260)
15.
Kuo,
S.-C., Chen, C.-C. Li, S.-T., and Chuang, C.-L., “Applying Tabu-Genetic Algroithm to
Scheduling Problems in Fastener Industry,” International Conference
on Business and Information (BAI2010), July 5-7, 2010, Kitakyushu, Japan. (ISSN
1729-9322)
16.
Kuo, S.-C., Cheng, Y.-C., Li, S.-T., and Chien, S.-M., “A Vector Model for Fuzzy Time Series,” International Conference
on Business and Information (BAI2008), Vol. 5, Issue 1, July 7-9, 2008, Seoul,
South Korea. (ISSN 1729-9322)
17.
Li, S.-T.,
Cheng, Y.-C., Lin, S.-Y., and Kuo, S.-C., “Deterministic two-factor high order
fuzzy time series forecasting model”, International Conference on Business and Information
(BAI2007), Vol. 4, July 11-13, 2007, Tokyo, Japan. (ISSN 1729-9322)
18.
Li, S.-T., Tsai, F.-C., Kuo,
S.-C. and Cheng, Y.-C., Crime Trend Rule Discovery from time series using
Fuzzy SOM Networks, The 5th International Conference on Computational
Intelligence in Economics and Finance, October 8-11, 2006, Kaohsiung City,
Taiwan.
19. Lin, S.-Y., Tsai, F.-C., Kuo, S.-C., and Cheng, Y.-C., “A Knowledge
Discovery Approach to Supporting Crime Prevention,” The 9th
International Conference on Computational Intelligence in Economics and Finance
(JCIS 2006), Aug, 2006. (ISBN: 978-90-7
20.
Tsai, F.-C., Kuo, S.-C.,
and Li, S.-T., Crime Trend Discovery using Fuzzy SOM Networks, The 11th Asia
Pacific Management Conference APMC-2005, Nov 18-20, 2005, Tainan, Taiwan.
21.
Li, S.-T., Kuo, S.-C.,
Discovering Financial Investment Strategy through Wavelet-based SOM Networks,
The 10th Annual Meeting of Asia-Pacific Decision Sciences Institute (APDSI
2005), June 28- July 2, 2005, Taipei, Taiwan. (ISBN: 1539-1191)
22. Kuo, S.-C.,
Li, S.-T., Cheng, Y.C., and Ho, M.-H, “Knowledge Discovery with
SOM Networks in Financial Investment Strategy,” Proceedings
of the Fourth International Conference on Hybrid Intelligent Systems (HIS’04),
November, 2004. (ISBN:
0-7695-2291-2)