Multi-scale temporal modeling for financial fraud detection using variational autoencoders
The explosive growth of digital payment systems has accelerated the adoption of machine learning (ML) in financial anomaly detection. Existing methods attempt to learn the characteristics of anomalous samples from large-scale datasets; however, due to the scarcity of fraudulent transactions, these m...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2026-04-01
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| Colección: | Alexandria Engineering Journal |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S1110016826001870 |
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