Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders

By Thiago Alencar Gomes, Rommel N. Carvalho, Ricardo Silva Carvalho. 2017

7 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

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

In Artificial Intelligence

1. Omer Berat Sezer
2. M. Ugur Gudelek
3. A. Ozbayoglu

In Information Systems

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek

Citations in the corpus

• Deep Learning for Financial Applications : A Survey (2020, background): “[120] proposed an anomaly detection model that identified the anomalies in parliamentary expenditure spending in Brazilian elections using also deep AE.”