1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DL2026★ 1 cited
Overcoming Barriers to Computational Reproducibility
Roman Hornung, László Németh, Oleksandr Zadorozhny +13
Computational reproducibility, the possibility for independent researchers to exactly reproduce published empirical results, is fundamental to science. Despite its importance, the…
stat.ME2026
Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests
Roman Hornung, Alexander Hapfelmeier
Random forests (RFs) are widely used for prediction and variable importance analysis and are often believed to capture any types of interactions via recursive splitting. However, s…
stat.ML2024
Multi forests: Variable importance for multi-class outcomes
Roman Hornung, Alexander Hapfelmeier
In prediction tasks with multi-class outcomes, identifying covariates specifically associated with one or more outcome classes can be important. Conventional variable importance me…