2 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.AP2024★ 2 cited
Interpretable Prediction Rule Ensembles in the Presence of Missing Data
Vincent Schroeder, Jakob Schwerter, Marjolein Fokkema +1
Prediction Rule Ensembles (PREs) are robust and interpretable statistical learning techniques with potential for predictive analytics, yet their efficacy in the presence of missing…
cs.LG2024★ 1 cited
Extending Explainable Ensemble Trees (E2Tree) to regression contexts
Massimo Aria, Agostino Gnasso, Carmela Iorio +1
Ensemble methods such as random forests have transformed the landscape of supervised learning, offering highly accurate prediction through the aggregation of multiple weak learners…