Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection.

Awad SS, Hamza AA, Sobh MA, Bahaa-Eldin AM

Open source

DOI
10.1038/s41598-026-49939-5
Published
2026 May 15
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-49939-5,
  title = {Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection.},
  author = {Awad SS and Hamza AA and Sobh MA and Bahaa-Eldin AM},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-49939-5},
  url = {https://doi.org/10.1038/s41598-026-49939-5}
}

RIS

TY  - JOUR
TI  - Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection.
AU  - Awad SS
AU  - Hamza AA
AU  - Sobh MA
AU  - Bahaa-Eldin AM
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-49939-5
UR  - https://doi.org/10.1038/s41598-026-49939-5
ER  -

APA

SS, A., AA, H., MA, S., & AM, B. (2026). Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection.. Scientific reports. https://doi.org/10.1038/s41598-026-49939-5

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