Zobrazeno 1 - 5
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pro vyhledávání: '"Xolani Dastile"'
Autor:
Xolani Dastile, Turgay Celik
Publikováno v:
IEEE Access, Vol 12, Pp 110713-110728 (2024)
EXplainable Artificial Intelligence (XAI) aims to reveal the reasons behind predictions from non-transparent classifiers. Explanations of automated decisions are important in critical domains such as finance, legal, and health. As a result, researche
Externí odkaz:
https://doaj.org/article/a0e34689ed664d4b96a4165f3504c816
Publikováno v:
IEEE Access, Vol 10, Pp 69543-69554 (2022)
The past decade has shown a surge in the use and application of machine learning and deep learning models across various domains. One such domain is credit scoring, where applicants are scored to assess their creditworthiness for loan applications. I
Externí odkaz:
https://doaj.org/article/39e03a8703404d4bb00909810046ba7a
Autor:
Xolani Dastile, Turgay Celik
Publikováno v:
IEEE Access, Vol 9, Pp 50426-50440 (2021)
Credit scoring has become an important risk management tool for money lending institutions. Over the years, statistical and classical machine learning models have been the most researched risk management tools in credit scoring literature, and recent
Externí odkaz:
https://doaj.org/article/2a763a087a6841d28d58e0350a1319b0
Autor:
Turgay Celik, Xolani Dastile
Publikováno v:
IEEE Access, Vol 9, Pp 50426-50440 (2021)
Credit scoring has become an important risk management tool for money lending institutions. Over the years, statistical and classical machine learning models have been the most researched risk management tools in credit scoring literature, and recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9edc9d9183ad78027eea79aec61d45b3
https://ieeexplore.ieee.org/document/9386102/
https://ieeexplore.ieee.org/document/9386102/
Publikováno v:
Applied Soft Computing. 91:106263
In practice, as a well-known statistical method, the logistic regression model is used to evaluate the credit-worthiness of borrowers due to its simplicity and transparency in predictions. However, in literature, sophisticated machine learning models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a78ac1a8188bddac389551d74bb46127
https://doi.org/10.1016/j.asoc.2020.106263
https://doi.org/10.1016/j.asoc.2020.106263