3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 3 cited
Surrogate Model-Based Explainability Methods for Point Cloud NNs
Hanxiao Tan, Helena Kotthaus
In the field of autonomous driving and robotics, point clouds are showing their excellent real-time performance as raw data from most of the mainstream 3D sensors. Therefore, point…
cs.LG2021★ 2 cited
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
Katharina Morik, Helena Kotthaus, Lukas Heppe +4
Machine learning applications have become ubiquitous. This has led to an increased effort of making machine learning trustworthy. Explainable and fair AI have already matured. They…