73 citations · 99 across the 3 of their papers we have counts for
3 papers
Grouped Feature Importance and Combined Features Effect Plot
Quay Au, Julia Herbinger, Clemens Stachl +2
Interpretable machine learning has become a very active area of research due to the rising popularity of machine learning algorithms and their inherently challenging interpretabili…
Component-Wise Boosting of Targets for Multi-Output Prediction
Quay Au, Daniel Schalk, Giuseppe Casalicchio +3
Multi-output prediction deals with the prediction of several targets of possibly diverse types. One way to address this problem is the so called problem transformation method. This…
Multilabel Classification with R Package mlr
Philipp Probst, Quay Au, Giuseppe Casalicchio +2
We implemented several multilabel classification algorithms in the machine learning package mlr. The implemented methods are binary relevance, classifier chains, nested stacking, d…