Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalance
- DOI
- 10.3389/frai.2026.1871972
- Published
- 2026-07-17
- Container
- Frontiers in Artificial Intelligence
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1871972,
title = {Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalance},
author = {Fray L. Becerra-Suarez and Paolo P. Arones-Perez and Frederik F. Zamora-Del-Aguila and Manuel G. Forero},
year = {2026},
journal = {Frontiers in Artificial Intelligence},
doi = {10.3389/frai.2026.1871972},
url = {https://doi.org/10.3389/frai.2026.1871972}
}RIS
TY - JOUR TI - Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalance AU - Fray L. Becerra-Suarez AU - Paolo P. Arones-Perez AU - Frederik F. Zamora-Del-Aguila AU - Manuel G. Forero PY - 2026 JO - Frontiers in Artificial Intelligence DO - 10.3389/frai.2026.1871972 UR - https://doi.org/10.3389/frai.2026.1871972 ER -
APA
Becerra-Suarez, F. L., Arones-Perez, P. P., Zamora-Del-Aguila, F. F., & Forero, M. G. (2026). Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalance. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1871972
Source records
- crossref · retrieved 2026-09-25T07:50:02.407Z