output
20172026
most citedA Survey on the Explainability of Supervised Machine Learning

984 citations

researchers with a paper here

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

collaborating institutions
Showing cs.GRShow all

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cs.GR2022★ 4 cited

Towards automated Capability Assessment leveraging Deep Learning

Raoul Schönhof, Manuel Fechter

Aiming for a higher economic efficiency in manufacturing, an increased degree of automation is a key enabler. However, assessing the technical feasibility of an automated assembly…

cs.GR2022★ 15 cited

Development of a neural network to recognize standards and features from 3D CAD models

Alexander Neb, Iyed Briki, Raoul Schoenhof

Focus of this work is to recognize standards and further features directly from 3D CAD models. For this reason, a neural network was trained to recognize nine classes of machine el…