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Jan Philip Göpfert
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2020 – today
- 2022
- [b1]Jan Philip Göpfert:
Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition. Bielefeld University, Germany, 2022 - [j6]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing 470: 344-351 (2022) - [j5]Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer:
Intuitiveness in Active Teaching. IEEE Trans. Hum. Mach. Syst. 52(3): 458-467 (2022) - [c10]Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. IDEAL 2022: 313-325 - [i9]Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. CoRR abs/2212.00695 (2022) - 2021
- [j4]Dominik Stallmann, Jan Philip Göpfert, Julian Schmitz, Alexander Grünberger, Barbara Hammer:
Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation. Bioinform. 37(20): 3632-3639 (2021) - [c9]Niklas Risse, Christina Göpfert, Jan Philip Göpfert:
How to Compare Adversarial Robustness of Classifiers from a Global Perspective. ICANN (1) 2021: 29-41 - 2020
- [j3]Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Andrzej Pyskir, Piotr Tarasiewicz, Saket Kunwar, Janick Rohrbach, Dave Luo, Manjunath Prasad, Sascha Fleer, Jan Philip Göpfert, Akshat Tandon, Guillaume Mollard, Nikhil Rayaprolu, Marcel Salathé, Malte Schilling:
Deep Learning for Understanding Satellite Imagery: An Experimental Survey. Frontiers Artif. Intell. 3: 534696 (2020) - [c8]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Locally Adaptive Nearest Neighbors. ESANN 2020: 667-672 - [c7]Christian Limberg, Jan Philip Göpfert, Heiko Wersing, Helge J. Ritter:
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. ICANN (2) 2020: 204-213 - [c6]Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer:
Adversarial Attacks Hidden in Plain Sight. IDA 2020: 235-247 - [i8]Niklas Risse, Christina Göpfert, Jan Philip Göpfert:
Adversarial examples and where to find them. CoRR abs/2004.10882 (2020) - [i7]Dominik Stallmann, Jan Philip Göpfert, Julian Schmitz, Alexander Grünberger, Barbara Hammer:
Towards an Automatic Analysis of CHO-K1 Suspension Growth in Microfluidic Single-cell Cultivation. CoRR abs/2010.10124 (2020) - [i6]Lukas Hindemith, Anna-Lisa Vollmer, Jan Philip Göpfert, Christiane B. Wiebel-Herboth, Britta Wrede:
Why robots should be technical: Correcting mental models through technical architecture concepts. CoRR abs/2011.02731 (2020) - [i5]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Locally Adaptive Nearest Neighbors. CoRR abs/2011.03904 (2020) - [i4]Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer:
Intuitiveness in Active Teaching. CoRR abs/2012.13551 (2020)
2010 – 2019
- 2019
- [c5]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Recovering Localized Adversarial Attacks. ICANN (1) 2019: 302-311 - [c4]Christina Göpfert, Jan Philip Göpfert, Barbara Hammer:
Adversarial Robustness Curves. PKDD/ECML Workshops (1) 2019: 172-179 - [i3]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Adversarial attacks hidden in plain sight. CoRR abs/1902.09286 (2019) - [i2]Christina Göpfert, Jan Philip Göpfert, Barbara Hammer:
Adversarial Robustness Curves. CoRR abs/1908.00096 (2019) - [i1]Jan Philip Göpfert, Heiko Wersing, Barbara Hammer:
Recovering Localized Adversarial Attacks. CoRR abs/1910.09239 (2019) - 2018
- [j2]Felix Hülsmann, Jan Philip Göpfert, Barbara Hammer, Stefan Kopp, Mario Botsch:
Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes. Comput. Graph. 76: 47-59 (2018) - [j1]Christina Göpfert, Lukas Pfannschmidt, Jan Philip Göpfert, Barbara Hammer:
Interpretation of linear classifiers by means of feature relevance bounds. Neurocomputing 298: 69-79 (2018) - [c3]Jan Philip Göpfert, Barbara Hammer, Heiko Wersing:
Mitigating Concept Drift via Rejection. ICANN (1) 2018: 456-467 - 2017
- [c2]Jan Philip Göpfert, Christina Göpfert, Mario Botsch, Barbara Hammer:
Effects of variability in synthetic training data on convolutional neural networks for 3D head reconstruction. SSCI 2017: 1-7 - 2014
- [c1]Benjamin Paassen, Andreas Stöckel, Raphael Dickfelder, Jan Philip Göpfert, Nicole Brazda, Tarek Kirchhoffer, Hans Werner Müller, Roman Klinger, Matthias Hartung, Philipp Cimiano:
Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments. SWAIE@COLING 2014: 25-32
Coauthor Index
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