User profiles for Jan Philip Göpfert

Jan Philip Göpfert

Bielefeld University
Verified email at uni-bielefeld.de
Cited by 273

[HTML][HTML] Deep learning for understanding satellite imagery: An experimental survey

…, D Luo, M Prasad, S Fleer, JP Göpfert… - Frontiers in Artificial …, 2020 - frontiersin.org
Translating satellite imagery into maps requires intensive effort and time, especially leading
to inaccurate maps of the affected regions during disaster and conflict. The combination of …

Classification of motor errors to provide real-time feedback for sports coaching in virtual reality—A case study in squats and Tai Chi pushes

F Hülsmann, JP Göpfert, B Hammer, S Kopp… - Computers & …, 2018 - Elsevier
For successful fitness coaching in virtual reality, movements of a trainee must be analyzed in
order to provide feedback. To date, most coaching systems only provide coarse information …

[PDF][PDF] Deep learning for understanding satellite imagery: An experimental survey. Front

…, J Rohrbach, D Luo, M Prasad, S Fleer, JP Göpfert… - Artif. Intell, 2020 - academia.edu
Translating satellite imagery into maps requires intensive effort and time, especially leading
to inaccurate maps of the affected regions during disaster and conflict. The combination of …

Why robots should be technical: Correcting mental models through technical architecture concepts

L Hindemith, JP Göpfert, CB Wiebel-Herboth… - Interaction …, 2021 - jbe-platform.com
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 glance…

Mitigating concept drift via rejection

JP Göpfert, B Hammer, H Wersing - … , Rhodes, Greece, October 4-7, 2018 …, 2018 - Springer
Learning in non-stationary environments is challenging, because under such conditions the
common assumption of independent and identically distributed data does not hold; when …

Interpretation of linear classifiers by means of feature relevance bounds

C Göpfert, L Pfannschmidt, JP Göpfert, B Hammer - Neurocomputing, 2018 - Elsevier
Research on feature relevance and feature selection problems goes back several decades,
but the importance of these areas continues to grow as more and more data becomes …

Interpretable locally adaptive nearest neighbors

JP Göpfert, H Wersing, B Hammer - Neurocomputing, 2022 - Elsevier
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 idea …

[HTML][HTML] Adversarial attacks hidden in plain sight

JP Göpfert, A Artelt, H Wersing, B Hammer - Advances in Intelligent Data …, 2020 - Springer
Convolutional neural networks have been used to achieve a string of successes during recent
years, but their lack of interpretability remains a serious issue. Adversarial examples are …

Explainable artificial intelligence for improved modeling of processes

R Velioglu, JP Göpfert, A Artelt, B Hammer - International Conference on …, 2022 - Springer
In modern business processes, the amount of data collected has increased substantially in
recent years. Because this data can potentially yield valuable insights, automated knowledge …

Intuitiveness in Active Teaching

JP Göpfert, U Kuhl, L Hindemith… - … on Human-Machine …, 2021 - ieeexplore.ieee.org
While machine learning (ML) gives rise to astonishing results in automated systems, it is
usually at the cost of large data requirements. This makes many successful algorithms from ML …