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Titlebook: Artificial Intelligence and Credit Risk; The Use of Alternati Rossella Locatelli,Giovanni Pepe,Fabio Salis Book 2022 AIFIRM 2022 Credit rat

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樓主: cerebellum
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發(fā)表于 2025-3-23 12:56:15 | 只看該作者
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發(fā)表于 2025-3-23 14:18:21 | 只看該作者
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發(fā)表于 2025-3-23 18:04:27 | 只看該作者
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發(fā)表于 2025-3-24 01:28:27 | 只看該作者
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發(fā)表于 2025-3-24 05:27:57 | 只看該作者
Introduction,aper articles and social media, the COVID-19 pandemics. Those types of data can be used with different purposes to enhance several aspects of the credit risk modelling: early warning, provisioning, benchmarking, loan granting and risk discrimination.
16#
發(fā)表于 2025-3-24 07:44:36 | 只看該作者
The Validation of AI Techniques,ing the methodological approaches aimed at assessing the stability of the models is detailed. In order to evaluate and interpret the results of the AI models, the contribution of each risk divers is assessed by means of specific methodologies.
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發(fā)表于 2025-3-24 13:22:58 | 只看該作者
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發(fā)表于 2025-3-24 17:49:46 | 只看該作者
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發(fā)表于 2025-3-24 20:16:58 | 只看該作者
20#
發(fā)表于 2025-3-25 01:44:18 | 只看該作者
https://doi.org/10.1007/978-3-476-99256-7service industry is investing on the development of AI models. In particular, alternative types of information have become accessible due to the business relationships of banks with their customers, the progressive digitalisation of the economy, the availability of information of the websites, newsp
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