| 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 | 122 | 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 | 74 | 2018 |
| Mitigating concept drift via rejection JP Göpfert, B Hammer, H Wersing Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 21 | 2018 |
| Interpretation of linear classifiers by means of feature relevance bounds C Göpfert, L Pfannschmidt, JP Göpfert, B Hammer Neurocomputing 298, 69-79, 2018 | 18 | 2018 |
| 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 | 17 | 2021 |
| 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 | 17 | 2020 |
| 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 | 12 | 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 | 9 | 2014 |
| Adversarial robustness curves C Göpfert, JP Göpfert, B Hammer Machine Learning and Knowledge Discovery in Databases: International …, 2020 | 8 | 2020 |
| 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 | 7 | 2022 |
| Interpretable locally adaptive nearest neighbors JP Göpfert, H Wersing, B Hammer Neurocomputing 470, 344-351, 2022 | 7 | 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 | 5 | 2021 |
| Recovering localized adversarial attacks JP Göpfert, H Wersing, B Hammer Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019 | 5 | 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 | 5 | 2017 |
| 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 | 4 | 2021 |
| Locally Adaptive Nearest Neighbors. JP Göpfert, H Wersing, B Hammer ESANN, 667-672, 2020 | 2 | 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 | 2 | 2015 |
| Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition JP Göpfert Dissertation, Bielefeld, Universität Bielefeld, 2022, 2022 | 1 | 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 | 1 | 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 | 1 | 2017 |
Barbara HammerProfessor, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
