Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics. - Anne-Laure Boulesteix; Silke Janitza; Jochen Kruppa; Inke R. König (WIREs Data Mining Knowl. Discov., 2012)

An AUC-based permutation variable importance measure for random forests. - Silke Janitza; Carolin Strobl; Anne-Laure Boulesteix (BMC Bioinform., 2013)

Letter to the Editor: On the term 'interaction' and related phrases in the literature on Random Forests. - Anne-Laure Boulesteix; Silke Janitza; Alexander Hapfelmeier; Kristel Van Steen; Carolin Strobl (Briefings Bioinform., 2015)

Random forest for ordinal responses: Prediction and variable selection. - Silke Janitza; Gerhard Tutz 001; Anne-Laure Boulesteix (Comput. Stat. Data Anal., 2016)

A computationally fast variable importance test for random forests for high-dimensional data. - Silke Janitza; Ender Celik; Anne-Laure Boulesteix (Adv. Data Anal. Classif., 2018)