Patient-centered yes/no prognosis using learning machines. - Inke R. König; James D. Malley; Sinisa Pajevic; Christian Weimar; Hans-Christoph Diener; Andreas Ziegler 001 (Int. J. Data Min. Bioinform., 2008)

On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data. - Daniel F. Schwarz; Inke R. König; Andreas Ziegler 001 (Bioinform., 2010)

Life-long increase of substantia nigra hyperechogenicity in transcranial sonography. - Johann Hagenah; Inke R. König; Jürgen Sperner; Lucas Wessel; Günter Seidel; Kelly Condefer; Rachel Saunders-Pullman; Christine Klein; Norbert Brüggemann (NeuroImage, 2010)

Validation in Genetic Association Studies. - Inke R. König (Briefings Bioinform., 2011)

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)

Mining data with random forests: current options for real-world applications. - Andreas Ziegler 001; Inke R. König (WIREs Data Mining Knowl. Discov., 2014)

A roadmap to multifactor dimensionality reduction methods. - Damian Gola; Jestinah M. Mahachie John; Kristel Van Steen; Inke R. König (Briefings Bioinform., 2016)

Do little interactions get lost in dark random forests? - Marvin N. Wright; Andreas Ziegler 001; Inke R. König (BMC Bioinform., 2016)

Transferring entropy to the realm of GxG interactions. - Paola G. Ferrario; Inke R. König (Briefings Bioinform., 2018)

The revival of the Gini importance? - Stefano Nembrini; Inke R. König; Marvin N. Wright (Bioinform., 2018)

Support Vector Machines for Survival Analysis with R. - Césaire J. K. Fouodo; Inke R. König; Claus Weihs; Andreas Ziegler 001; Marvin N. Wright (R J., 2018)

Principals about principal components in statistical genetics. - Fentaw Abegaz; Kridsadakorn Chaichoompu; Emmanuelle Génin; David W. Fardo; Inke R. König; Jestinah M. Mahachie John; Kristel Van Steen (Briefings Bioinform., 2019)

Empowering individual trait prediction using interactions. - Damian Gola; Inke R. König (CoRR, 2019)

Empowering individual trait prediction using interactions for precision medicine. - Damian Gola; Inke R. König (BMC Bioinform., 2021)

Effect of hyperparameters on variable selection in random forests. - Césaire J. K. Fouodo; Lea L. Kronziel; Inke R. König; Silke Szymczak (CoRR, 2023)

Construction of Artificial Most Representative Trees by Minimizing Tree-Based Distance Measures. - Björn-Hergen Laabs; Lea L. Kronziel; Inke R. König; Silke Szymczak (xAI (2), 2024)

Identification of representative trees in random forests based on a new tree-based distance measure. - Björn-Hergen Laabs; Ana Westenberger; Inke R. König (Adv. Data Anal. Classif., 2024)