Assessment of catastrophic forgetting in continual credit card fraud detection

Author:

Lebichot B.ORCID,Siblini W.ORCID,Paldino G.M.ORCID,Le Borgne Y.-A.ORCID,Oblé F.,Bontempi G.ORCID

Funder

Innoviris Foundation

Publisher

Elsevier BV

Reference55 articles.

1. Abakarim, Y., Lahby, M., & Attioui, A. (2018). An efficient real time model for credit card fraud detection based on deep learning. In Proceedings of the 12th international conference on intelligent systems: theories and applications (pp. 1–7).

2. Anomaly detection, consider your dataset first an illustration on fraud detection;Alazizi,2019

3. Diversity creation methods: a survey and categorisation;Brown;Information Fusion,2005

4. Managing diversity in regression ensembles;Brown;Journal of Machine Learning Research,2005

5. Scarff: a scalable framework for streaming credit card fraud detection with spark;Carcillo;Information Fusion,2018

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1. Credit card fraud detection based on federated graph learning;Expert Systems with Applications;2024-12

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