Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments. - Benjamin Paassen; Andreas Stöckel; Raphael Dickfelder; Jan Philip Göpfert; Nicole Brazda; Tarek Kirchhoffer; Hans Werner Müller; Roman Klinger; Matthias Hartung; Philipp Cimiano (SWAIE@COLING, 2014)

Effects of variability in synthetic training data on convolutional neural networks for 3D head reconstruction. - Jan Philip Göpfert; Christina Göpfert; Mario Botsch; Barbara Hammer (SSCI, 2017)

Mitigating Concept Drift via Rejection. - Jan Philip Göpfert; Barbara Hammer; Heiko Wersing (ICANN (1), 2018)

Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes. - Felix Hülsmann; Jan Philip Göpfert; Barbara Hammer; Stefan Kopp; Mario Botsch (Comput. Graph., 2018)

Interpretation of linear classifiers by means of feature relevance bounds. - Christina Göpfert; Lukas Pfannschmidt; Jan Philip Göpfert; Barbara Hammer (Neurocomputing, 2018)

Recovering Localized Adversarial Attacks. - Jan Philip Göpfert; Heiko Wersing; Barbara Hammer (ICANN (1), 2019)

Adversarial Robustness Curves. - Christina Göpfert; Jan Philip Göpfert; Barbara Hammer (PKDD/ECML Workshops (1), 2019)

Adversarial attacks hidden in plain sight. - Jan Philip Göpfert; Heiko Wersing; Barbara Hammer (CoRR, 2019)

Locally Adaptive Nearest Neighbors. - Jan Philip Göpfert; Heiko Wersing; Barbara Hammer (ESANN, 2020)

Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. - Christian Limberg; Jan Philip Göpfert; Heiko Wersing; Helge J. Ritter (ICANN (2), 2020)

Adversarial Attacks Hidden in Plain Sight. - Jan Philip Göpfert; André Artelt; Heiko Wersing; Barbara Hammer (IDA, 2020)

Adversarial examples and where to find them. - Niklas Risse; Christina Göpfert; Jan Philip Göpfert (CoRR, 2020)

Why robots should be technical: Correcting mental models through technical architecture concepts. - Lukas Hindemith; Anna-Lisa Vollmer; Jan Philip Göpfert; Christiane B. Wiebel-Herboth; Britta Wrede (CoRR, 2020)

Deep Learning for Understanding Satellite Imagery: An Experimental Survey. - 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; et al. (Frontiers Artif. Intell., 2020)

How to Compare Adversarial Robustness of Classifiers from a Global Perspective. - Niklas Risse; Christina Göpfert; Jan Philip Göpfert (ICANN (1), 2021)

Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation. - Dominik Stallmann; Jan Philip Göpfert; Julian Schmitz; Alexander Grünberger; Barbara Hammer (Bioinform., 2021)

Explainable Artificial Intelligence for Improved Modeling of Processes. - Riza Velioglu; Jan Philip Göpfert; André Artelt; Barbara Hammer (IDEAL, 2022)

Interpretable Locally Adaptive Nearest Neighbors. - Jan Philip Göpfert; Heiko Wersing; Barbara Hammer (Neurocomputing, 2022)

Intuitiveness in Active Teaching. - Jan Philip Göpfert; Ulrike Kuhl; Lukas Hindemith; Heiko Wersing; Barbara Hammer (IEEE Trans. Hum. Mach. Syst., 2022)

Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition. - Jan Philip Göpfert (2022)