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20142020
most citedAn Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

90 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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stat.ML2020★ 15 cited

Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring

Michael Bücker, Gero Szepannek, Alicja Gosiewska +1

A major requirement for credit scoring models is to provide a maximally accurate risk prediction. Additionally, regulators demand these models to be transparent and auditable. Thus…