| 2015 | ESANN | Learning matrix quantization and variants of relevance learning. | Kristin Domaschke, Marika Kaden, Mandy Lange, Thomas Villmann |
| 2015 | ICAISC | Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms. | Andrea Bohnsack, Kristin Domaschke, Marika Kaden, Mandy Lange, 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 | Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization. | Mandy Lange, Dietlind Zhlke, Olaf Holz, Thomas Villmann |
| 2014 | ICAISC | Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning. | Mandy Lange, David Nebel, Thomas Villmann |
| 2013 | ESANN | Non-Euclidean independent component analysis and Oja's learning. | Mandy Lange, Michael Biehl, Thomas Villmann |
| 2013 | IJCNN | About analysis and robust classification of searchlight fMRI-data using machine learning classifiers. | Mandy Lange, Marika Kstner, Thomas Villmann |
| 2012 | ESANN | Modified Conn-Index for the evaluation of fuzzy clusterings. | Tina Geweniger, Marika Kstner, Mandy Lange, Thomas Villmann |
| 2012 | ICAISC | Fuzzy Neural Gas for Unsupervised Vector Quantization. | Thomas Villmann, Tina Geweniger, Marika Kstner, Mandy Lange |