Wieland Hermann

According to our database, Wieland Hermann authored at least 13 papers between 2000 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Prototype-based One-Class-Classification Learning Using Local Representations.

Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann

Proceedings of the International Joint Conference on Neural Networks, 2022

2018

Learning vector quantization classifiers for ROC-optimization.

Thomas Villmann, Marika Kaden, Wieland Hermann, Michael Biehl

Comput. Stat., 2018

Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach.

Andrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2015

Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machines.

Marika Kaden, Martin Riedel, Wieland Hermann, Thomas Villmann

Soft Comput., 2015

2014

Attention Based Classification Learning in GLVQ and Asymmetric Misclassification Assessment.

Marika Kaden, Wieland Hermann, Thomas Villmann

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

Optimization of General Statistical Accuracy Measures for Classification Based on Learning Vector Quantization.

Marika Kaden, Wieland Hermann, Thomas Villmann

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems.

Thomas Villmann, Marika Kaden, Mandy Lange, Paul Sturmer, Wieland Hermann

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013

Border-Sensitive Learning in Kernelized Learning Vector Quantization.

Marika Kästner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann

Proceedings of the Advances in Computational Intelligence, 2013

2012

Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural Gas.

Marika Kästner, Wieland Hermann, Thomas Villmann

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2008

Fuzzy classification using information theoretic learning vector quantization.

Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Wieland Hermann, Marie Cottrell

Neurocomputing, 2008

2006

Fuzzy classification by fuzzy labeled neural gas.

Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann

Neural Networks, 2006

Learning Vector Quantization Classification with Local Relevance Determination for Medical Data.

Barbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2000

Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing Maps.

Thomas Villmann, Wieland Hermann, Michael Geyer

Proceedings of the Medical Data Analysis, First International Symposium, 2000