Roman Hornung - RankMe

21 papers Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Overcoming Barriers to Computational Reproducibility. CoRR Roman Hornung, László Németh, Oleksandr Zadorozhny, Theresa Ullmann, Michael Kammer, Rebecca Killick, Christopher J. Paciorek, Julien Chiquet, Moritz Herrmann, Lucija Batinovíc, Rickard Carlsson, Pierre Neuvial, Boris P. Hejblum, Julia Wrobel, Anne-Laure Boulesteix, Karsten Tabelow
2026	J	`jnl`	Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests. CoRR Roman Hornung, Alexander Hapfelmeier
2025	J	`jnl`	Constructing Confidence Intervals for “the” Generalization Error – a Comprehensive Benchmark Study. J. Data-centric Mach. Learn. Res. Hannah Schulz-Kümpel, Sebastian Fischer, Roman Hornung, Anne-Laure Boulesteix, Thomas Nagler, Bernd Bischl
2024	J	`jnl`	Constructing Confidence Intervals for 'the' Generalization Error - a Comprehensive Benchmark Study. CoRR Hannah Schulz-Kümpel, Sebastian Fischer, Thomas Nagler, Anne-Laure Boulesteix, Bernd Bischl, Roman Hornung
2024	J	`jnl`	Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study. BMC Medical Informatics Decis. Mak. Yingxia Li, Tobias Herold, Ulrich Mansmann, Roman Hornung
2024	J	`jnl`	Multi forests: Variable importance for multi-class outcomes. CoRR Roman Hornung, Alexander Hapfelmeier
2023	J	`jnl`	Efficient permutation testing of variable importance measures by the example of random forests. Comput. Stat. Data Anal. Alexander Hapfelmeier, Roman Hornung, Bernhard Haller
2023	J	`jnl`	Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix
2023	J	`jnl`	Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study. CoRR Roman Hornung, Frederik Ludwigs, Jonas Hagenberg, Anne-Laure Boulesteix
2022	J	`jnl`	Benchmark study of feature selection strategies for multi-omics data. BMC Bioinform. Yingxia Li, Ulrich Mansmann, Shangming Du, Roman Hornung
2022	J	`jnl`	Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests. SN Comput. Sci. Roman Hornung
2022	J	`jnl`	Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Comput. Stat. Data Anal. Roman Hornung, Anne-Laure Boulesteix
2022	J	`jnl`	Sequential Permutation Testing of Random Forest Variable Importance Measures. CoRR Alexander Hapfelmeier, Roman Hornung, Bernhard Haller
2021	J	`jnl`	Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning. J. Classif. Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, Roman Hornung
2021	J	`jnl`	Large-scale benchmark study of survival prediction methods using multi-omics data. Briefings Bioinform. Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix
2020	J	`jnl`	Large-scale benchmark study of survival prediction methods using multi-omics data. CoRR Moritz Herrmann, Philipp Probst, Roman Hornung, Vindi Jurinovic, Anne-Laure Boulesteix
2020	J	`jnl`	Ordinal Forests. J. Classif. Roman Hornung
2019	J	`jnl`	Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinform. Roman Hornung, Marvin N. Wright
2018	J	`jnl`	Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. BMC Bioinform. Simon Klau, Vindi Jurinovic, Roman Hornung, Tobias Herold, Anne-Laure Boulesteix
2017	J	`jnl`	Improving cross-study prediction through addon batch effect adjustment or addon normalization. Bioinform. Roman Hornung, David Causeur, Christoph Bernau, Anne-Laure Boulesteix
2016	J	`jnl`	Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. BMC Bioinform. Roman Hornung, Anne-Laure Boulesteix, David Causeur