Technical paper/Credit cards
A credit card fraud detection model based on a stacked temporospatial graph attention residual network
The authors put forward a model based on a stacked temporospatial graph attention residual network dedicated to credit card fraud detection.
Bankcard performance during the Great Recession: a consumer-level analysis
This paper investigates factors associated with high credit card loss rates during the period 2008–11 associated with the Great Recession.
The data anonymiser
Non-parametric approaches anonymise datasets while reproducing their statistical properties
Interpretability of neural networks: a credit card default model example
Recently developed techniques aimed at answering interpretability issues in neural networks are tested and applied to a retail banking case