Publications

Niklas Risse, Christina Göpfert, Jan Philip Göpfert (2021). How to compare adversarial robustness of classifiers from a global perspective. International Conference on Artificial Neural Networks (ICANN).

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Jan Philip Göpfert, Heiko Wersing, Barbara Hammer (2021). Interpretable Locally Adaptive Nearest Neighbors. Neurocomputing.

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Jan Philip Göpfert, Ulrike Kuhl, Lukas Hindemith, Heiko Wersing, Barbara Hammer (2020). Intuitiveness in Active Teaching. IEEE Transactions on Human-Machine Systems.

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Jan Philip Göpfert, Heiko Wersing, Barbara Hammer (2020). Locally Adaptive Nearest Neighbors. European Symposium on Artificial Neural Networks.

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Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer (2020). Adversarial attacks hidden in plain sight. Symposium on Intelligent Data Analysis.

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Jan Philip Göpfert, Heiko Wersing, Barbara Hammer (2019). Recovering Localized Adversarial Attacks. International Conference on Artificial Neural Networks.

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Christina Göpfert, Jan Philip Göpfert, Barbara Hammer (2019). Adversarial Robustness Curves. workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

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Jan Philip Göpfert, Barbara Hammer, Heiko Wersing (2018). Mitigating Concept Drift via Rejection. International Conference on Artificial Neural Networks.

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

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

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Christina Göpfert, Jan Philip Göpfert, Barbara Hammer (2017). Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals. Neural Information Processing Systems workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments.

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