125 citations · 164 across the 5 of their papers we have counts for
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stat.ML2023
Evaluating machine learning models in non-standard settings: An overview and new findings
Roman Hornung, Malte Nalenz, Lennart Schneider +5
Estimating the generalization error (GE) of machine learning models is fundamental, with resampling methods being the most common approach. However, in non-standard settings, parti…
q-bio.GN2023★ 1 cited
Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study
Roman Hornung, Frederik Ludwigs, Jonas Hagenberg +1
As the availability of omics data has increased in the last few years, more multi-omics data have been generated, that is, high-dimensional molecular data consisting of several typ…