121 citations · 197 across the 18 of their papers we have counts for
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stat.ML2020★ 2 cited
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction
Moritz Herrmann, Fabian Scheipl
In recent years, manifold methods have moved into focus as tools for dimension reduction. Assuming that the high-dimensional data actually lie on or close to a low-dimensional nonl…
stat.ML2020★ 18 cited
A General Machine Learning Framework for Survival Analysis
Andreas Bender, David Rügamer, Fabian Scheipl +1
The modeling of time-to-event data, also known as survival analysis, requires specialized methods that can deal with censoring and truncation, time-varying features and effects, an…