4 citations · 8 across the 3 of their papers we have counts for
8 papers
Explainable Artificial Intelligence for Improved Modeling of Processes
Riza Velioglu, Jan Philip Göpfert, André Artelt +1
In modern business processes, the amount of data collected has increased substantially in recent years. Because this data can potentially yield valuable insights, automated knowled…
Intuitiveness in Active Teaching
Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith +2
While Machine learning gives rise to astonishing results in automated systems, it is usually at the cost of large data requirements. This makes many successful algorithms from mach…
Why robots should be technical: Correcting mental models through technical architecture concepts
Lukas Hindemith, Anna-Lisa Vollmer, Jan Phillip Göpfert +2
Research in social robotics is commonly focused on designing robots that imitate human behavior. While this might increase a user's satisfaction and acceptance of robots at first g…
Interpretable Locally Adaptive Nearest Neighbors
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
When training automated systems, it has been shown to be beneficial to adapt the representation of data by learning a problem-specific metric. This metric is global. We extend this…
How to compare adversarial robustness of classifiers from a global perspective
Niklas Risse, Christina Göpfert, Jan Philip Göpfert
Adversarial robustness of machine learning models has attracted considerable attention over recent years. Adversarial attacks undermine the reliability of and trust in machine lear…
Recovering Localized Adversarial Attacks
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
Deep convolutional neural networks have achieved great successes over recent years, particularly in the domain of computer vision. They are fast, convenient, and -- thanks to matur…