Anomaly Detection in Ecuador Payments System
By Banco Central del Ecuador
At a 2019 CEMLA course on financial technologies and central banking, the Banco Central del Ecuador presented an innovative machine-learning use case for payment system oversight. The project developed an anomaly detection model using autoencoder neural networks trained on Ecuadorian payment system transaction data to identify atypical payments.
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