B. Pfeifer

Personalized Knowledge-based Graph Neural Networks and Regression Analysis for Computational Diagnosis of High-Risk Cardiovascular Disease Patients

The revival of bagged trees: hierarchical shrinkage as a regularization tool

To address limitations of the original HS method, a novel method called adaptive HS is proposed, which adjusts shrinkage based on feature entropy and estimated overfitting, offering a computationally efficient post-hoc alternative to repeated refitting for structural hyperparameter tuning in RFs.