2 papers
stat.ML2025
Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection
David Hirnschall
We present a novel deep generative semi-supervised framework for credit card fraud detection, formulated as time series classification task. As financial transaction data streams g…
stat.ML2025
The path to a goal: Understanding soccer possessions via path signatures
David Hirnschall, Robert Bajons
We present a novel framework for predicting next actions in soccer possessions by leveraging path signatures to encode their complex spatio-temporal structure. Unlike existing appr…