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End-to-end neural network architecture for fraud scoring in card payments

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End-to-end neural network architecture for fraud scoring in card payments

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Gomez, J.; Arévalo, J.; Paredes Palacios, R.; Nin, J. (2018). End-to-end neural network architecture for fraud scoring in card payments. Pattern Recognition Letters. 105:175-181. https://doi.org/10.1016/j.patrec.2017.08.024

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/125674

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Title: End-to-end neural network architecture for fraud scoring in card payments
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Millions of euros are lost every year due to fraudulent card transactions. The design and implementation of efficient fraud detection methods is mandatory to minimize such losses. In this paper, we present a neural ...[+]
Subjects: Fraud detection , Credit card payments , Deep learning , Neural networks
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Pattern Recognition Letters. (issn: 0167-8655 )
DOI: 10.1016/j.patrec.2017.08.024
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.patrec.2017.08.024
Type: Artículo

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