| 2025 | ESANN | Integrating Class Relation Knowledge in Probabilistic Learning Vector Quantization. | Marika Kaden, Ronny Schubert, Tina Geweniger, Wieland Hermann, Thomas Villmann |
| 2022 | IJCNN | Prototype-based One-Class-Classification Learning Using Local Representations. | Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann |
| 2018 | ESANN | Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach. | Andrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann |
| 2014 | CIDM | Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems. | Thomas Villmann, Marika Kaden, Mandy Lange, Paul Sturmer, Wieland Hermann |
| 2014 | ESANN | Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization. | Marika Kaden, Wieland Hermann, Thomas Villmann |
| 2013 | IWANN | Border-Sensitive Learning in Kernelized Learning Vector Quantization. | Marika Kstner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann |
| 2012 | ESANN | Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas. | Marika Kstner, Wieland Hermann, Thomas Villmann |
| 2006 | ICAISC | Learning Vector Quantization Classification with Local Relevance Determination for Medical Data. | Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann |