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Showing results 1 to 7 of 7

1
Corporate Default Predictions Using Machine Learning: Literature Review

Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin, SUSTAINABILITY, v.12, no.16, 2020-08

2
Disaster assessment using computer vision and satellite imagery: Applications in detecting water-related building damages

Kim, Danu; Won, Jeongkyung; Lee, Eunji; Park, Kyung Ryul; Kim, Jihee; Park, Sangyoon; Yang, Hyunjoo; et al, FRONTIERS IN ENVIRONMENTAL SCIENCE, v.10, no.0, pp.1 - 14, 2022-10

3
Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach

Shin, Donghyuk; He, Shu; Lee, Gene Moo; Whinston, Andrew B.; Cetintas, Suleyman; Lee, Kuang-Chih, MIS Quarterly, v.44, no.4, pp.1459 - 1492, 2020-12

4
Evaluating the efficiency of system integration projects using data envelopment analysis (DEA) and machine learning

Hong, Han Kook; Ha, Sung Ho; Shin, Chung Kwan; Park, Sang Chan; Kim, Soung Hie, EXPERT SYSTEMS WITH APPLICATIONS, v.16, no.3, pp.283 - 296, 1999-04

5
Forecasting consumer credit recovery failure: classification approaches

Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin, JOURNAL OF CREDIT RISK, v.17, no.3, pp.117 - 140, 2021-09

6
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

7
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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