Roman Hornung

According to our database, Roman Hornung authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Efficient permutation testing of variable importance measures by the example of random forests.

Alexander Hapfelmeier, Roman Hornung, Bernhard Haller

Comput. Stat. Data Anal., May, 2023

Evaluating machine learning models in non-standard settings: An overview and new findings.

Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix

CoRR, 2023

Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study.

Roman Hornung, Frederik Ludwigs, Jonas Hagenberg, Anne-Laure Boulesteix

CoRR, 2023

2022

Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests.

Roman Hornung

SN Comput. Sci., 2022

Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects.

Roman Hornung, Anne-Laure Boulesteix

Comput. Stat. Data Anal., 2022

Sequential Permutation Testing of Random Forest Variable Importance Measures.

Alexander Hapfelmeier, Roman Hornung, Bernhard Haller

CoRR, 2022

Benchmark study of feature selection strategies for multi-omics data.

Yingxia Li, Ulrich Mansmann, Shangming Du, Roman Hornung

BMC Bioinform., 2022

2021

Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning.

Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, Roman Hornung

J. Classif., 2021

Large-scale benchmark study of survival prediction methods using multi-omics data.

Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix

Briefings Bioinform., 2021

2020

Ordinal Forests.

Roman Hornung

J. Classif., 2020

2019

Block Forests: random forests for blocks of clinical and omics covariate data.

Roman Hornung, Marvin N. Wright

BMC Bioinform., 2019

2018

Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data.

Simon Klau, Vindi Jurinovic, Roman Hornung, Tobias Herold, Anne-Laure Boulesteix

BMC Bioinform., 2018

2017

Improving cross-study prediction through addon batch effect adjustment or addon normalization.

Roman Hornung, David Causeur, Christoph Bernau, Anne-Laure Boulesteix

Bioinform., 2017

2016

Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment.

Roman Hornung, Anne-Laure Boulesteix, David Causeur

BMC Bioinform., 2016