Default prediction in the finance industry based on ensemble learning : combining machine learning and deep learning
Year of publication: |
2025
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Authors: | Le, Hoanh-Su ; Le Quang Chan Phong ; Truong Cong Vinh ; Ho Mai Minh Nhat ; Lee, Jong Hwa |
Published in: |
Business systems research : a system view accross technology & economics : the journal of Society for Advancing Innovation and Research in Economy. - Warsaw : De Gruyter, Versita, ISSN 1847-9375, ZDB-ID 2759390-3. - Vol. 16.2025, 1, p. 198-218
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Subject: | default prediction | risk assessment | machine learning | deep learning | ensemble learning | online lending | Künstliche Intelligenz | Artificial intelligence | Lernprozess | Learning process | Prognoseverfahren | Forecasting model | Kreditrisiko | Credit risk | Lernen | Learning | Kreditwürdigkeit | Credit rating |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.2478/bsrj-2025-0010 [DOI] |
Classification: | G17 - Financial Forecasting ; G21 - Banks; Other Depository Institutions; Mortgages ; G30 - Corporate Finance and Governance. General ; O32 - Management of Technological Innovation and R&D |
Source: | ECONIS - Online Catalogue of the ZBW |
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