Self-organization is an important skill in many industries. This is especially the case in research, where multiple projects often need to be managed without predetermined tasks. The process of researching a topic in particular has the potential to be an endless task. To streamline this process, we present some tricks and tools in this article. […]
Establishing rigorous testing and certification techniques is essential before deploying new technologies like Deep Learning (DL) in safety-critical applications. We propose a testing approach that could identify weaknesses in DL models.
A surrogate model-based explainability approach is proposed for point cloud classifiers together with two different evaluation metrics validating the plausibility of the approach. The toolkit is now available online.