Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek. Transparency, auditability, and explainability of machine learning models in credit scoring. JORS, 73(1):70-90, 2022. [doi]
@article{BuckerSGB22,
title = {Transparency, auditability, and explainability of machine learning models in credit scoring},
author = {Michael Bücker and Gero Szepannek and Alicja Gosiewska and Przemyslaw Biecek},
year = {2022},
doi = {10.1080/01605682.2021.1922098},
url = {https://doi.org/10.1080/01605682.2021.1922098},
researchr = {https://researchr.org/publication/BuckerSGB22},
cites = {0},
citedby = {0},
journal = {JORS},
volume = {73},
number = {1},
pages = {70-90},
}