2019
Enhanced Recurrent Neural Network for Combining Static and Dynamic Features for Credit Card Default Prediction
ICASSP 2019accepted
Deep learning models have been shown to be capable of extracting high-level representations from the increasing amount of customer-level data generated via fast-growing financial activities. In financial data, dynamic features that evolve with time are commonly observed. However, such time dependenc…