Marcellin Atemkeng

Forget static model averaging: dynamically weighting ensembles based on empirical performance can significantly boost accuracy and interpretability in financial loan default prediction.

You *can* have it all: high-performance anomaly detection, interpretability, and fairness, even in highly imbalanced industrial datasets.