On the Black-Box Challenge for Fraud Detection Using Machine Learning (II): Nonlinear Analysis through Interpretable Autoencoders

On the Black-Box Challenge for Fraud Detection Using Machine Learning (II): Nonlinear Analysis through Interpretable Autoencoders

Artificial intelligence (AI) has recently intensified in the global economy due to the great competence that it has demonstrated for analysis and modeling in many disciplines. This situation is accelerating the shift towards a more automated society, where these new techniques can be consolidated as...

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Bibliographic Details
Main Authors: Jacobo Chaquet-Ulldemolins, Francisco-Javier Gimeno-Blanes, Santiago Moral-Rubio, Sergio Muñoz-Romero, José-Luis Rojo-Álvarez
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
credit fraud detection
explainable machine learning
interpretability
autoencoders
Online Access:https://www.mdpi.com/2076-3417/12/8/3856

Internet

https://www.mdpi.com/2076-3417/12/8/3856

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