Publications

Lukas Pfannschmidt, Barbara Hammer (2020). Sequential Feature Classification in the Context of Redundancies.

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Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder, Michael Biehl, Peter Tino, Barbara Hammer (2020). Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. Neurocomputing.

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Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer (2019). FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

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Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tino, Barbara Hammer (2019). Feature Relevance Bounds for Ordinal Regression. ESANN 2019.

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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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Christina Göpfert, Lukas Pfannschmidt, Barbara Hammer (2017). Feature Relevance Bounds for Linear Classification. Proceedings of the ESANN.

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