105 citations · 169 across the 7 of their papers we have counts for
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stat.ML2026
How important are the genes to explain the outcome - the asymmetric Shapley value as an honest importance metric for high-dimensional features
Mark A. van de Wiel, Jeroen Goedhart, Martin Jullum +1
In clinical prediction settings the importance of a high-dimensional feature like genomics is often assessed by evaluating the change in predictive performance when adding it to a…
stat.ML2019★ 3 cited
Stable prediction with radiomics data
Carel F. W. Peeters, Caroline Übelhör, Steven W. Mes +9
Motivation: Radiomics refers to the high-throughput mining of quantitative features from radiographic images. It is a promising field in that it may provide a non-invasive solution…