Prof. Dr. rer. nat. habil. Thomas Villmann

Learning of Probability Estimates for System and Network Reliability Analysis by Means of Matrix Learning Vector Quantization

Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ

Prototype Networks for Reliable Classification Decision based on Gene Expressions for Breast Cancer Detection Integrating Expert Knowledge

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

Stability of Model Explanations in Interpretable Prototype-based Classification Learning