most citedInformed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

806 citations · 843 across the 4 of their papers we have counts for

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stat.ML2021★ 4 cited

Calibrated simplex-mapping classification

Raoul Heese, Jochen Schmid, Michał Walczak +1

We propose a novel methodology for general multi-class classification in arbitrary feature spaces, which results in a potentially well-calibrated classifier. Calibrated classifiers…

stat.ML2019★ 806 cited

Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

Laura von Rueden, Sebastian Mayer, Katharina Beckh +11

Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional integration of prior knowledge…