Lynn V. Reuss

According to our database, Lynn V. Reuss authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

FA(IR)2MA-GLVQ - A hidden-feature-bias mitigation approach for fairness in classification learning based on generalized matrix learning vector quantization.

Marika Kaden, Ronny Schubert, Julius Voigt, Lynn V. Reuss, Alexander Engelsberger, Sofie Lövdal, Elina L. van den Brandhof, Michael Biehl, Thomas Villmann

Neurocomputing, 2026

Geometric-analytical Generation of Counterfactuals for Prototype-based Classifiers.

Marika Kaden, Lynn V. Reuss, Thomas Villmann

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

Reliable Classification Learning for Medical Data Analysis Using Prototype-Based Models.

Julius Voigt, Marika Kaden, Lynn V. Reuss, Thomas Villmann

Proceedings of the Artificial Intelligence and Soft Computing, 2025

2024

Biologically-Informed Shallow Classification Learning Integrating Pathway Knowledge.

Julius Voigt, Sascha Saralajew, Marika Kaden, Katrin Sophie Bohnsack, Lynn V. Reuss, Thomas Villmann

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023

A White-Box Workflow for the Prediction of Food Content From Near-Infrared Data Based on Fourier-Transformation.

Ronny Schubert, Lynn V. Reuss, Daniel Staps, Marika Kaden, Thomas Villmann, Robert Hasler, Robin Herz, Till Tiemann, Wolfram Richardt

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023