Lukas Pfannschmidt
Lukas Pfannschmidt
Phd candidate, German-Canadian DFG International Research Training Group (1906/1), Bielefeld
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TitleCited byYear
Interpretation of Linear Classifiers by Means of Feature Relevance Bounds
C Göpfert, L Pfannschmidt, JP Göpfert, B Hammer
Neurocomputing, 2018
Feature Relevance Bounds for Ordinal Regression
L Pfannschmidt, J Jakob, M Biehl, P Tino, B Hammer
27th European Symposium on Artificial Neural Networks, Computational …, 2019
Feature Relevance Bounds for Linear Classification
C Göpfert, L Pfannschmidt, B Hammer
Proceedings of the ESANN, 24th European Symposium on Artificial Neural …, 2017
FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration
L Pfannschmidt, C Göpfert, U Neumann, D Heider, B Hammer
2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019
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Articles 1–4