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Sheng-Hsiung Chiu
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2020 – today
- 2023
- [c11]Kaile Li, Yuyu Li, Baoying Yang, Sheng-Hsiung Chiu:
Does ESG Performance Reduce Regulatory Inquiry? Evidence from Annual Report Inquiry Letters. IMMS 2023: 120-124 - 2022
- [j3]Tzu-Yu Lin, Sheng-Hsiung Chiu, Yunxi Wang, Zihan Ouyang:
Value Creation Performance Evaluation for Taiwanese Financial Holding Companies during the Global Financial Crisis Based on a Multi-Stage NDEA Model under Uncertainty. Axioms 11(2): 35 (2022) - [c10]Hsin-I Lee, Sheng-Hsiung Chiu, Yu-Ling Chen, Hong-Ye Lin, Tzu-Yu Lin:
Determinants of Foreign Language Teachers' Intention to Adopt Online Teaching: An empirical study by the combined model of TAM and TTF. ICDTE 2022: 249-253 - [c9]Sheng-Hsiung Chiu, Jingyi Zhu, Chang Cai, Tzu-Yu Lin:
Innovative economic performance evaluation for semiconductor industry in China using a multi-stage DNSBM approach. MSIE 2022: 318-323 - 2021
- [c8]Hsin-I Lee, Tzu-Yu Lin, Zhengyu Wang, Shengwen Li, Sheng-Hsiung Chiu:
Teacher's acceptance of online education platform into foreign language teaching in Chinese higher education. IC4E 2021: 260-263 - [c7]Yansong Wang, Zihan Ouyang, Tzu-Yu Lin, Sheng-Hsiung Chiu:
Does corporate green innovation enhance the persistence of financial performance? Evidence from Chinese listed corporations. MSIE 2021: 64-69 - 2020
- [c6]Hsin-I Lee, Sheng-Hsiung Chiu, Xiao-Na Chen, Xiao-Zhen Liao, Tzu-Yu Lin:
What Are the Key Barriers for the Course Comprehension of Chinese Students in Lecture of French Higher Education?: A DANP Approach. IC4E 2020: 125-129 - [c5]Tzu-Yu Lin, Weihua Huang, Hong Chen, Sheng-Hsiung Chiu:
Modeling Regional Innovative System Performance in China Using A Dynamic Two-Stage SBM Model. MSIE 2020: 54-59 - [c4]Sheng-Hsiung Chiu, Rui Yang, Ziyu Xiao, Tzu-Yu Lin:
Applying The Dynamic Network DEA Model to Evaluate The Chinese Regional Sustainable Performance. MSIE 2020: 120-124
2010 – 2019
- 2016
- [j2]Ching-Chiang Yeh, Der-Jang Chi, Tzu-Yu Lin, Sheng-Hsiung Chiu:
A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector Machines. Cybern. Syst. 47(4): 261-276 (2016) - [j1]Meng-Hsiun Tsai, Hsin-Chieh Wang, Guan-Wei Lee, Yi-Chen Lin, Sheng-Hsiung Chiu:
A Decision Tree Based Classifier to Analyze Human Ovarian Cancer cDNA Microarray Datasets. J. Medical Syst. 40(1): 21:1-21:8 (2016) - 2012
- [c3]Sheng-Hsiung Chiu, Meng-Hsiun Tsai, Hsieh-Chung Wu, Wei-Chun Chen, Utpala Shrestha, Sherwin Kuo:
Application of Fuzzy c-Means and Self-organizing maps for genes clustering in mouse brain microarray data analysis. FSKD 2012: 1104-1108 - 2011
- [c2]Jui-Ming Chen, Meng-Hsiun Tsai, Shih-Huei Wang, Sheng-Hsiung Chiu:
The study of ovarian carcinoma gene regulatory mechanism based on the shortest path algorithm and conditional probabilities. FSKD 2011: 1638-1642
2000 – 2009
- 2007
- [c1]Meng-Hsiun Tsai, Jun-Dong Chang, Sheng-Hsiung Chiu, Ching-Hao Lai:
Identification of Marker Genes Discriminating the Pathological Stages in Ovarian Carcinoma by Using Support Vector Machine and Systems Biology. ACAL 2007: 381-389
Coauthor Index
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