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20212024
most citedMachine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?

9 citations · 16 across the 7 of their papers we have counts for

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stat.ML2021★ 1 cited

pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules

Michael Kirchhof, Lena Schmid, Christopher Reining +2

A key task in multi-label classification is modeling the structure between the involved classes. Modeling this structure by probabilistic and interpretable means enables applicatio…