Wieland Hermann

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 3

Top Topics

Supervised Learning

Learning Vector Quantization

Bankruptcy Prediction

Classification Systems

Top Venues

Publications

Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann
Prototype-based One-Class-Classification Learning Using Local Representations. IJCNN (2022)
Thomas Villmann, Marika Kaden, Wieland Hermann, Michael Biehl
Learning vector quantization classifiers for ROC-optimization. Comput. Stat. 33 (3) (2018)
Andrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann
Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach. ESANN (2018)
Marika Kaden, Martin Riedel, Wieland Hermann, Thomas Villmann
Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines. Soft Comput. 19 (9) (2015)
Thomas Villmann, Marika Kaden, Mandy Lange, Paul Sturmer, Wieland Hermann
Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems. CIDM (2014)
Marika Kaden, Wieland Hermann, Thomas Villmann
Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment. WSOM (2014)
Marika Kaden, Wieland Hermann, Thomas Villmann
Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization. ESANN (2014)
Marika Kästner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann
Border-Sensitive Learning in Kernelized Learning Vector Quantization. IWANN (1) (2013)
Marika Kästner, Wieland Hermann, Thomas Villmann
Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas. ESANN (2012)
Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Wieland Hermann, Marie Cottrell
Fuzzy classification using information theoretic learning vector quantization. Neurocomputing 71 (16-18) (2008)
Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann
Fuzzy classification by fuzzy labeled neural gas. Neural Networks 19 (6-7) (2006)
Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann
Learning Vector Quantization Classification with Local Relevance Determination for Medical Data. ICAISC (2006)
Thomas Villmann, Wieland Hermann, Michael Geyer
Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps. ISMDA (2000)