Lukas Pfannschmidt

According to our database, Lukas Pfannschmidt authored at least 7 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Relevance Learning for Redundant Features.

Lukas Pfannschmidt

PhD thesis, 2021

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

Sequential Feature Classification in the Context of Redundancies.

Lukas Pfannschmidt, Barbara Hammer

CoRR, 2020

2019

Feature relevance bounds for ordinal regression.

Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration.

Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2018

Interpretation of linear classifiers by means of feature relevance bounds.

Christina Göpfert, Lukas Pfannschmidt, Jan Philip Göpfert, Barbara Hammer

Neurocomputing, 2018

2017

Feature Relevance Bounds for Linear Classification.

Christina Göpfert, Lukas Pfannschmidt, Barbara Hammer

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017