Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
A SMOTE enhanced multi stream deep learning ensemble for credit card fraud detection
Related
- Enhanced human posture recognition using multi-stream deep CNN with blended ensemble classification
- Improving employee performance rating prediction using ANN probability-enhanced ensemble learning
- Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learning
- A Multimetric Evaluation of Ensemble and Neural Models for Imbalanced Credit Scoring on the German Credit Dataset
- A lightweight blockchain-inspired hybrid intrusion detection system with ensemble learning for tamper-proof auditing
BibTeX
@article{alharbi2026smote,
title = {{A SMOTE enhanced multi stream deep learning ensemble for credit card fraud detection}},
author = {Lubna A. Alharbi and Faizah Alsulami},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-75271-z},
url = {https://www.nature.com/articles/s41598-026-75271-z},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - A SMOTE enhanced multi stream deep learning ensemble for credit card fraud detection
AU - Lubna A. Alharbi
AU - Faizah Alsulami
PY - 2026
DA - 2026/10/15
JO - Scientific Reports
DO - 10.1038/s41598-026-75271-z
UR - https://www.nature.com/articles/s41598-026-75271-z
SN - 2045-2322
ER -