1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2026
Beyond Point Prediction: Artificial Representative Trees with Uncertainty
Lea L. Mairhöfer, Silke Szymczak, Björn-Hergen Laabs +1
Random forests (RFs) predict well but are opaque, whereas single decision trees are interpretable but unstable. Artificial representative trees (ARTs) were developed as interpretab…
stat.ML2023★ 1 cited
Effect of hyperparameters on variable selection in random forests
Cesaire J. K. Fouodo, Lea L. Kronziel, Inke R. König +1
Random forests (RFs) are well suited for prediction modeling and variable selection in high-dimensional omics studies. The effect of hyperparameters of the RF algorithm on predicti…