Feature Relevance Bounds for Linear Classification. - Christina Göpfert; Lukas Pfannschmidt; Barbara Hammer (ESANN, 2017)

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

FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. - Lukas Pfannschmidt; Christina Göpfert; Ursula Neumann; Dominik Heider; Barbara Hammer (CIBCB, 2019)

Feature relevance bounds for ordinal regression. - Lukas Pfannschmidt; Jonathan Jakob; Michael Biehl; Peter Tiño; Barbara Hammer (ESANN, 2019)

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

Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information. - Lukas Pfannschmidt; Jonathan Jakob; Fabian Hinder; Michael Biehl; Peter Tiño; Barbara Hammer (Neurocomputing, 2020)

Relevance Learning for Redundant Features. - Lukas Pfannschmidt (2021)