Wieland Hermann

13 papers B 4C 1Misc 1Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2022 B conf
Prototype-based One-Class-Classification Learning Using Local Representations.
IJCNN
Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann
2018 J jnl
Learning vector quantization classifiers for ROC-optimization.
Comput. Stat.
Thomas Villmann, Marika Kaden, Wieland Hermann, Michael Biehl
2018 B conf
Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach.
ESANN
Andrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann
2015 J jnl
Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines.
Soft Comput.
Marika Kaden, Martin Riedel, Wieland Hermann, Thomas Villmann
2014 — conf
Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment.
WSOM
Marika Kaden, Wieland Hermann, Thomas Villmann
2014 B conf
Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization.
ESANN
Marika Kaden, Wieland Hermann, Thomas Villmann
2014 C conf
Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems.
CIDM
Thomas Villmann, Marika Kaden, Mandy Lange, Paul Sturmer, Wieland Hermann
2013 — conf
Border-Sensitive Learning in Kernelized Learning Vector Quantization.
IWANN (1)
Marika Kästner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann
2012 B conf
Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas.
ESANN
Marika Kästner, Wieland Hermann, Thomas Villmann
2008 J jnl
Fuzzy classification using information theoretic learning vector quantization.
Neurocomputing
Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Wieland Hermann, Marie Cottrell
2006 J jnl
Fuzzy classification by fuzzy labeled neural gas.
Neural Networks
Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann
2006 Misc conf
Learning Vector Quantization Classification with Local Relevance Determination for Medical Data.
ICAISC
Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann
2000 — conf
Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps.
ISMDA
Thomas Villmann, Wieland Hermann, Michael Geyer