A deep-learning–based antifraud system for car-insurance claims

Author:

Maiano LucaORCID,Montuschi Antonio,Caserio Marta,Ferri Egon,Kieffer Federico,Germanò ChiaraORCID,Baiocco Lorenzo,Ricciardi Celsi LorenzoORCID,Amerini IreneORCID,Anagnostopoulos ArisORCID

Funder

ERC

Horizon 2020

Ministero dell'Istruzione dell'Università e della Ricerca

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference59 articles.

1. Ahmed, E., Jones, M., & Marks, T. K. (2015). An Improved Deep Learning Architecture for Person Re-Identification. In Proceedings of the IEEE conference on computer vision and pattern recognition.

2. 8 myths about insurance fraud busted;Association of British Insurers (ABI),2022

3. Assessing car damage with convolutional neural networks;Bandi,2021

4. COCO annotator;Brooks,2019

5. TensorFlow similarity: A usable high-performance metric learning library;Bursztein,2021

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