2 papers
q-fin.RM2025
A multi-view contrastive learning framework for spatial embeddings in risk modelling
Freek Holvoet, Christopher Blier-Wong, Katrien Antonio
Incorporating spatial information, particularly when related to climate, weather, and demographic factors, is crucial for improving underwriting precision and enhancing risk manage…
cs.LG2025
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff
Freek Holvoet, Katrien Antonio, Roel Henckaerts
Insurers usually turn to generalized linear models for modeling claim frequency and severity data. Due to their success in other fields, machine learning techniques are gaining pop…