Jan Philip Göpfert
Jan Philip Göpfert
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Cited by
Cited by
Deep learning for understanding satellite imagery: An experimental survey
SP Mohanty, J Czakon, KA Kaczmarek, A Pyskir, P Tarasiewicz, S Kunwar, ...
Frontiers in Artificial Intelligence 3, 534696, 2020
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, M Botsch
Computers & Graphics 76, 47-59, 2018
Mitigating concept drift via rejection
JP Göpfert, B Hammer, H Wersing
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
Interpretation of linear classifiers by means of feature relevance bounds
C Göpfert, L Pfannschmidt, JP Göpfert, B Hammer
Neurocomputing 298, 69-79, 2018
Adversarial attacks hidden in plain sight
JP Göpfert, A Artelt, H Wersing, B Hammer
Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020
Why robots should be technical: Correcting mental models through technical architecture concepts
L Hindemith, JP Göpfert, CB Wiebel-Herboth, B Wrede, AL Vollmer
Interaction Studies 22 (2), 244-279, 2021
Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation
D Stallmann, JP Göpfert, J Schmitz, A Grünberger, B Hammer
Bioinformatics 37 (20), 3632-3639, 2021
Ontology-based extraction of structured information from publications on preclinical experiments for spinal cord injury treatments
B Paassen, A Stöckel, R Dickfelder, JP Göpfert, N Brazda, T Kirchhoffer, ...
Proceedings of the Third Workshop on Semantic Web and Information Extraction …, 2014
Interpretable locally adaptive nearest neighbors
JP Göpfert, H Wersing, B Hammer
Neurocomputing 470, 344-351, 2022
Intuitiveness in Active Teaching
JP Göpfert, U Kuhl, L Hindemith, H Wersing, B Hammer
IEEE Transactions on Human-Machine Systems 52 (3), 458-467, 2021
Adversarial robustness curves
C Göpfert, JP Göpfert, B Hammer
Machine Learning and Knowledge Discovery in Databases: International …, 2020
Recovering localized adversarial attacks
JP Göpfert, H Wersing, B Hammer
Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019
Effects of variability in synthetic training data on convolutional neural networks for 3D head reconstruction
JP Göpfert, C Göpfert, M Botsch, B Hammer
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017
Explainable artificial intelligence for improved modeling of processes
R Velioglu, JP Göpfert, A Artelt, B Hammer
International Conference on Intelligent Data Engineering and Automated …, 2022
How to compare adversarial robustness of classifiers from a global perspective
N Risse, C Göpfert, JP Göpfert
International Conference on Artificial Neural Networks, 29-41, 2021
Locally Adaptive Nearest Neighbors.
JP Göpfert, H Wersing, B Hammer
ESANN, 667-672, 2020
SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments–A Webservice and Open Source Toolkit
A Stöckel, B Paassen, R Dickfelder, JP Göpfert, N Brazda, HW Müller, ...
bioRxiv, 013458, 2015
Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition
JP Göpfert
Dissertation, Bielefeld, Universität Bielefeld, 2022, 2022
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data
C Limberg, JP Göpfert, H Wersing, H Ritter
Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020
Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals
C Göpfert, JP Göpfert, B Hammer
Proceedings of the 2017 NIPS workshop on Transparent and Interpretable …, 2017
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