Lukas Pfannschmidt
Lukas Pfannschmidt
Phd candidate, Machine Learning group, CITEC, Bielefeld
Verified email at - Homepage
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Interpretation of Linear Classifiers by Means of Feature Relevance Bounds
C Göpfert, L Pfannschmidt, JP Göpfert, B Hammer
Neurocomputing, 2018
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
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 determination for ordinal regression in the context of feature redundancies and privileged information
L Pfannschmidt, J Jakob, F Hinder, M Biehl, P Tino, B Hammer
Neurocomputing 416, 266-279, 2020
Sequential Feature Classification in the Context of Redundancies
L Pfannschmidt, B Hammer
arXiv preprint arXiv:2004.00658, 2020
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