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Published in 2024 at "Neural Computing and Applications"
DOI: 10.1007/s00521-025-11520-y
Abstract: The widespread use of machine learning in credit scoring has brought significant advancements in risk assessment and decision-making. However, it has also raised concerns about potential biases, discrimination, and lack of transparency in these automated…
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Keywords:
credit scoring;
learning credit;
machine;
machine learning ... See more keywords
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Published in 2020 at "Physical review letters"
DOI: 10.1103/physrevlett.125.178301
Abstract: Deep learning has achieved impressive prediction accuracies in a variety of scientific and industrial domains. However, the nested nonlinear feature of deep learning makes the learning highly nontransparent, i.e., it is still unknown how the…
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Keywords:
deep learning;
credit assignment;
learning credit;
credit ... See more keywords