Publications

Lukas Pfannschmidt (2021). Relevance Learning for Redundant Features. Bielefeld University.

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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.

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).

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

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.