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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
Intuitiveness in Active Teaching. IEEE Trans. Hum. Mach. Syst. 52(3): 458-467 (2022) - [c10]Riza Velioglu
Explainable Artificial Intelligence for Improved Modeling of Processes. IDEAL 2022: 313-325 - [i9]Riza Velioglu, Jan Philip Göpfert, André Artelt
Explainable Artificial Intelligence for Improved Modeling of Processes. CoRR abs/2212.00695 (2022) - 2021
- [j4]Dominik Stallmann
Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation. Bioinform. 37(20): 3632-3639 (2021) - [c9]Niklas Risse
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
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
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. ICANN (2) 2020: 204-213 - [c6]Jan Philip Göpfert, André Artelt
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
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
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
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
Interpretation of linear classifiers by means of feature relevance bounds. Neurocomputing 298: 69-79 (2018) - [c3]Jan Philip Göpfert
Mitigating Concept Drift via Rejection. ICANN (1) 2018: 456-467 - 2017
- [c2]Jan Philip Göpfert
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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