Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
An integrated explainable machine learning framework for prediction explanation and audit in high stakes binary classification
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BibTeX
@article{liu2026integrated,
title = {{An integrated explainable machine learning framework for prediction explanation and audit in high stakes binary classification}},
author = {Yan Liu and Mengjie Shi and Jingbo Huang and Chuan He},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-74012-6},
url = {https://www.nature.com/articles/s41598-026-74012-6},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - An integrated explainable machine learning framework for prediction explanation and audit in high stakes binary classification
AU - Yan Liu
AU - Mengjie Shi
AU - Jingbo Huang
AU - Chuan He
PY - 2026
DA - 2026/10/12
JO - Scientific Reports
DO - 10.1038/s41598-026-74012-6
UR - https://www.nature.com/articles/s41598-026-74012-6
SN - 2045-2322
ER -