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 2022Show all

4 papers · 1 filter

cs.LG2022★ 19 cited

XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning

Marc-André Zöller, Waldemar Titov, Thomas Schlegel +1

In the last ten years, various automated machine learning (AutoM ) systems have been proposed to build end-to-end machine learning (ML) pipelines with minimal human interaction. Ev…

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…

cs.AI2022★ 14 cited

Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods

Raoul Schönhof, Artem Werner, Jannes Elstner +3

Not only automation of manufacturing processes but also automation of automation procedures itself become increasingly relevant to automation research. In this context, automated c…