Autoencoders for Financial Anomaly Detection: A Review of Architectures, Evaluation Practice and Deployment Gaps

Financial institutions must decide, within the milliseconds of a payment authorisation window and on evidence that is almost entirely unlabelled, whether a transaction is fraudulent: positives account for less than 0.2% of records, confirmatory labels arrive months later as chargebacks, and the gene...

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Autores principales:	Alexander Haro-Sarango, Diana Castillo‐Martínez, Silvia Cachay-Salcedo, Jessica Karina Saavedra-Vasconez, Rosa Salcedo-Dávalos, Briseida Sotelo-Castro, Carlos Saavedra-Vasconez
Formato:	Reference entry
Lenguaje:	inglés
Publicado:	2026
Materias:	autoencoder financial anomaly detection fraud detection one-class classification reconstruction error card payments transaction monitoring anti-money laundering insurance claims audit logs generative models resampling evaluation metrics temporal drift class imbalance Anomaly Detection Techniques and Applications Imbalanced Data Classification Techniques Network Security and Intrusion Detection
Acceso en línea:	Enlace permanente (DOI o Handle)
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