Deep Learning Anomaly Detection as Support Fraud Investigation in Brazilian Exports and Anti-Money Laundering

By L. P. Ebberth, L. Marcelo, N. Rommel, M. Thiago. 2016

26 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Lior Rokach
2. Bracha Shapira
3. Ronni Miller
4. Liat Antwarg
5. Julian McAuley
6. Ruining He
7. Steven Bethard
8. Alberto Fernández

Citations in the corpus

• Explaining anomalies detected by autoencoders using Shapley Additive Explanations (2021, background): “Recently, autoencoders have become widely adopted for unsupervised anomaly detection tasks [8, 9, 10].”