Wieland Hermann - researchr alias

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Viewing Publication 1 - 13 from 13

2022

Prototype-based One-Class-Classification Learning Using Local RepresentationsDaniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann. ijcnn 2022: 1-8 [doi]

2018

Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy ApproachAndrea Villmann, Marika Kaden, Sascha Saralajew, Wieland Hermann, Thomas Villmann. esann 2018: [doi]

Learning vector quantization classifiers for ROC-optimizationThomas Villmann, Marika Kaden, Wieland Hermann, Michael Biehl. cstat, 33(3):1173-1194, 2018. [doi]

2015

Border-sensitive learning in generalized learning vector quantization: an alternative to support vector machinesMarika Kaden, Martin Riedel, Wieland Hermann, Thomas Villmann. soco, 19(9):2423-2434, 2015. [doi]

2014

2013

Border-Sensitive Learning in Kernelized Learning Vector QuantizationMarika Kästner, Martin Riedel, Marc Strickert, Wieland Hermann, Thomas Villmann. iwann 2013: 357-366 [doi]

2012

Integration of Structural Expert Knowledge about Classes for Classification Using the Fuzzy Supervised Neural GasMarika Kästner, Wieland Hermann, Thomas Villmann. esann 2012: [doi]

2008

Fuzzy classification using information theoretic learning vector quantizationThomas Villmann, Barbara Hammer, Frank-Michael Schleif, Wieland Hermann, Marie Cottrell. ijon, 71(16-18):3070-3076, 2008. [doi]

2006

Learning Vector Quantization Classification with Local Relevance Determination for Medical DataBarbara Hammer, Thomas Villmann, Frank-Michael Schleif, Cornelia Albani, Wieland Hermann. icaisc 2006: 603-612 [doi]

Fuzzy classification by fuzzy labeled neural gasThomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann. NN, 19(6-7):772-779, 2006. [doi]

2000

Data Mining and Knowledge Discovery in Medical Applications Using Self-Organizing MapsThomas Villmann, Wieland Hermann, Michael Geyer. ismda 2000: 138-151 [doi]

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