Explainable Deep Tabular Learning for Credit Risk Assessment: An Information-Theoretic Cross-Attentional Transformer Approach

Bowen Dong, Xinyu Zhang, Ziwei Hong, Chaoya Yan, Weiyan Zhu, Lingmin Hou, Yifan Feng

Open source

DOI
10.3390/e28080837
Published
2026-07-27
Container
Entropy
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/e28080837,
  title = {Explainable Deep Tabular Learning for Credit Risk Assessment: An Information-Theoretic Cross-Attentional Transformer Approach},
  author = {Bowen Dong and Xinyu Zhang and Ziwei Hong and Chaoya Yan and Weiyan Zhu and Lingmin Hou and Yifan Feng},
  year = {2026},
  journal = {Entropy},
  doi = {10.3390/e28080837},
  url = {https://doi.org/10.3390/e28080837}
}

RIS

TY  - JOUR
TI  - Explainable Deep Tabular Learning for Credit Risk Assessment: An Information-Theoretic Cross-Attentional Transformer Approach
AU  - Bowen Dong
AU  - Xinyu Zhang
AU  - Ziwei Hong
AU  - Chaoya Yan
AU  - Weiyan Zhu
AU  - Lingmin Hou
AU  - Yifan Feng
PY  - 2026
JO  - Entropy
DO  - 10.3390/e28080837
UR  - https://doi.org/10.3390/e28080837
ER  - 

APA

Dong, B., Zhang, X., Hong, Z., Yan, C., Zhu, W., Hou, L., & Feng, Y. (2026). Explainable Deep Tabular Learning for Credit Risk Assessment: An Information-Theoretic Cross-Attentional Transformer Approach. Entropy. https://doi.org/10.3390/e28080837

Source records