Browse "MT-Journal Papers(저널논문)" by Subject NEURAL-NETWORKS
Showing results 1 to 6 of 6
Corporate Default Predictions Using Machine Learning: Literature Review Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin, SUSTAINABILITY, v.12, no.16, 2020-08 |
| Evaluation of Large-scale Data to Detect Irregularity in Payment for Medical Services Park, Junghyun A.; Kim, Minki; Yoon, Seokjoon, METHODS OF INFORMATION IN MEDICINE, v.55, no.3, pp.284 - 291, 2016 |
| Hybrid genetic algorithms and support vector machines for bankruptcy prediction Min, SH; Lee, J; Han, Ingoo, EXPERT SYSTEMS WITH APPLICATIONS, v.31, no.3, pp.652 - 660, 2006-10 |
| Measuring corporate failure risk: Does long short-term memory perform better in all markets? Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin, INVESTMENT ANALYSTS JOURNAL, v.52, no.1, pp.40 - 52, 2023-03 |
| Modeling urban building energy use: A review of modeling approaches and procedures Li, Wenliang; Zhou, Yuyu; Cetin, Kristen; Eom, Jiyong; Wang, Yu; Chen, Gang; Zhang, Xuesong, ENERGY, v.141, pp.2445 - 2457, 2017-12 |
| Predicting corporate defaults using machine learning with geometric-lag variables Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin, INVESTMENT ANALYSTS JOURNAL, v.50, no.3, pp.161 - 175, 2021-07 |
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