Roman Hornung

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Quantitative And Qualitative

Parameter Tuning

Machine Learning Models

Top Venues

Comput. Stat. Data Anal.

Publications

Roman Hornung, Frederik Ludwigs, Jonas Hagenberg, Anne-Laure Boulesteix
Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study. CoRR (2023)
Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix
Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR (2023)
Alexander Hapfelmeier, Roman Hornung, Bernhard Haller
Efficient permutation testing of variable importance measures by the example of random forests. Comput. Stat. Data Anal. 181 (2023)
Roman Hornung
Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests. SN Comput. Sci. 3 (1) (2022)
Roman Hornung, Anne-Laure Boulesteix
Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Comput. Stat. Data Anal. 171 (2022)
Alexander Hapfelmeier, Roman Hornung, Bernhard Haller
Sequential Permutation Testing of Random Forest Variable Importance Measures. CoRR (2022)
Yingxia Li, Ulrich Mansmann, Shangming Du, Roman Hornung
Benchmark study of feature selection strategies for multi-omics data. BMC Bioinform. 23 (1) (2022)
Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix
Large-scale benchmark study of survival prediction methods using multi-omics data. Briefings Bioinform. 22 (3) (2021)
Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, Roman Hornung
Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning. J. Classif. 38 (2) (2021)
Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix
Large-scale benchmark study of survival prediction methods using multi-omics data. CoRR (2020)
Roman Hornung
Ordinal Forests. J. Classif. 37 (1) (2020)
Roman Hornung, Marvin N. Wright
Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinform. 20 (1) (2019)
Simon Klau, Vindi Jurinovic, Roman Hornung, Tobias Herold, Anne-Laure Boulesteix
Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. BMC Bioinform. 19 (1) (2018)
Roman Hornung, David Causeur, Christoph Bernau, Anne-Laure Boulesteix
Improving cross-study prediction through addon batch effect adjustment or addon normalization. Bioinform. 33 (3) (2017)
Roman Hornung, Anne-Laure Boulesteix, David Causeur
Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. BMC Bioinform. 17 (2016)