| A hybrid approach of DEA, rough set and support vector machines for business failure prediction CC Yeh, DJ Chi, MF Hsu Expert Systems with Applications 37 (2), 1535-1541, 2010 | 229 | 2010 |
| A support vector machine-based model for detecting top management fraud PF Pai, MF Hsu, MC Wang Knowledge-Based Systems 24 (2), 314-321, 2011 | 173 | 2011 |
| Identifying key factors for adopting artificial intelligence-enabled auditing techniques by joint utilization of fuzzy-rough set theory and MRDM technique KH Hu, FH Chen, MF Hsu, GH Tzeng Technological and Economic Development of Economy 27 (2), 459-492, 2021 | 104 | 2021 |
| Credit risk assessment and decision making by a fusion approach TC Wu, MF Hsu Knowledge-Based Systems 35, 102-110, 2012 | 81 | 2012 |
| Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction SJ Lin, C Chang, MF Hsu Knowledge-Based Systems 39, 214-223, 2013 | 67 | 2013 |
| Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule-based decision-making model KH Hu, FH Chen, MF Hsu, GH Tzeng Financial Innovation 9 (1), 117, 2023 | 63 | 2023 |
| Integrated news mining technique and AI-based mechanism for corporate performance forecasting TM Chang, MF Hsu, SJ Lin Information Sciences 424, 273-286, 2018 | 44 | 2018 |
| Business analytics for corporate risk management and performance improvement MF Hsu, YS Hsin, FJ Shiue Annals of Operations Research 315, 629–669, 2022 | 43 | 2022 |
| An ensemble-based model for two-class imbalanced financial problem JJ Liao, CH Shih, TF Chen, MF Hsu Economic Modelling 37, 175-183, 2014 | 41 | 2014 |
| Identifying the key factors of subsidiary supervision and management using an innovative hybrid architecture in a big data environment KH Hu, MF Hsu, FH Chen, MZ Liu Financial Innovation 7 (1), 10, 2021 | 40 | 2021 |
| Enterprise’s internal control for knowledge discovery in a big data environment by an integrated hybrid model FH Chen, MF Hsu, KH Hu Information Technology and Management 23 (3), 213-231, 2022 | 36 | 2022 |
| Incorporated risk metrics and hybrid AI techniques for risk management SJ Lin, MF Hsu Neural Computing and Applications 28 (11), 3477-3489, 2017 | 34 | 2017 |
| Decision making by extracting soft information from CSR news report SJ Lin, MF Hsu Technological and Economic Development of Economy 24 (4), 1344-1361, 2018 | 32 | 2018 |
| Credit rating analysis by the decision-tree support vector machine with ensemble strategies PF Pai, YS Tan, MF Hsu International Journal of Fuzzy Systems 17 (4), 521-530, 2015 | 28 | 2015 |
| Integration of incremental filter-wrapper selection strategy with artificial intelligence for enterprise risk management TM Chang, MF Hsu International Journal of Machine Learning and Cybernetics 9 (3), 477-489, 2018 | 22 | 2018 |
| A fusion approach for exploring the key factors of corporate governance on corporate social responsibility performance KH Hu, SJ Lin, MF Hsu Sustainability 10 (5), 1582, 2018 | 21 | 2018 |
| A BSC-based network DEA model equipped with computational linguistics for performance assessment and improvement MF Hsu, SJ Lin International Journal of Machine Learning and Cybernetics 12 (9), 2479-2497, 2021 | 18 | 2021 |
| Identification of the critical factors for global supply chain management under the COVID-19 outbreak via a fusion intelligent decision support system KH Hu, FH Chen, MF Hsu, S Yao, MC Hung Axioms 10 (2), 61, 2021 | 18 | 2021 |
| An enhanced support vector machines model for classification and rule generation PF Pai, MF Hsu Computational Optimization, Methods and Algorithms, 241-258, 2011 | 17 | 2011 |
| Automated text mining process for corporate risk analysis and management MF Hsu, C Chang, JH Zeng Risk Management 24, 386–419, 2022 | 15 | 2022 |
