Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system

Leonard Sabetti, Ronald Heijmans

Open source

DOI: 10.1016/j.latcb.2021.100031
Published: 06
Container: Latin American Journal of Central Banking
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.latcb.2021.100031,
  title = {Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system},
  author = {Leonard Sabetti and Ronald Heijmans},
  year = {2021},
  journal = {Latin American Journal of Central Banking},
  doi = {10.1016/j.latcb.2021.100031},
  url = {https://doi.org/10.1016/j.latcb.2021.100031}
}

RIS

TY  - JOUR
TI  - Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system
AU  - Leonard Sabetti
AU  - Ronald Heijmans
PY  - 2021
JO  - Latin American Journal of Central Banking
DO  - 10.1016/j.latcb.2021.100031
UR  - https://doi.org/10.1016/j.latcb.2021.100031
ER  -

APA

Sabetti, L., & Heijmans, R. (2021). Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system. Latin American Journal of Central Banking. https://doi.org/10.1016/j.latcb.2021.100031

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doaj · retrieved 2026-09-25T17:48:42.008Z