Modified Conn-Index for the evaluation of fuzzy clusterings. - Tina Geweniger; Marika Kästner; Mandy Lange; Thomas Villmann (ESANN, 2012)

Fuzzy Neural Gas for Unsupervised Vector Quantization. - Thomas Villmann; Tina Geweniger; Marika Kästner; Mandy Lange (ICAISC (1), 2012)

Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects. - Michael Biehl; Marika Kästner; Mandy Lange; Thomas Villmann (WSOM, 2012)

Non-Euclidean independent component analysis and Oja's learning. - Mandy Lange; Michael Biehl; Thomas Villmann (ESANN, 2013)

About analysis and robust classification of searchlight fMRI-data using machine learning classifiers. - Mandy Lange; Marika Kästner; Thomas Villmann (IJCNN, 2013)

Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters. - Tina Geweniger; Lydia Fischer; Marika Kaden; Mandy Lange; Thomas Villmann (Comput. Intell. Neurosci., 2013)

Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems. - Thomas Villmann; Marika Kaden; Mandy Lange; Paul Sturmer; Wieland Hermann (CIDM, 2014)

Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization. - Mandy Lange; Dietlind Zühlke; Olaf Holz; Thomas Villmann (ESANN, 2014)

Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning. - Mandy Lange; David Nebel; Thomas Villmann (ICAISC (1), 2014)

Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization. - Mandy Lange; David Nebel; Thomas Villmann (WSOM, 2014)

Learning matrix quantization and variants of relevance learning. - Kristin Domaschke; Marika Kaden; Mandy Lange; Thomas Villmann (ESANN, 2015)

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 (ICAISC (1), 2015)

Non-Euclidean principal component analysis by Hebbian learning. - Mandy Lange; Michael Biehl; Thomas Villmann (Neurocomputing, 2015)

Learning matrix quantization and relevance learning based on Schatten-p-norms. - Andrea Bohnsack; Kristin Domaschke; Marika Kaden; Mandy Lange; Thomas Villmann (Neurocomputing, 2016)

Knowledge Integration in Vector Quantization Models and Corresponding Structured Covariance Estimation. - Marika Kaden; Julius Voigt; Katrin Sophie Bohnsack; Mandy Lange-Geisler; Thomas Villmann (WSOM+, 2024)

General Multi-Prime Multi-Power RSA - A Generalization of RSA and CRT-RSA to Regular Integers Modulo n. - Klaus Dohmen; Mandy Lange-Geisler (IACR Cryptol. ePrint Arch., 2025)