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Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ., , , and . BrainComp, volume 10087 of Lecture Notes in Computer Science, page 131-141. Springer, (2015)Galaxy classification: A machine learning analysis of GAMA catalogue data., , , , and . Neurocomputing, (2019)Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis., and . WSOM, volume 428 of Advances in Intelligent Systems and Computing, page 329-339. Springer, (2016)Insightful stress detection from physiology modalities using Learning Vector Quantization., , and . Neurocomputing, (2015)Statistical Mechanics of On-Line Learning Under Concept Drift., , , , and . Entropy, 20 (10): 775 (2018)Biomedical Applications of Prototype Based Classifiers and Relevance Learning.. AlCoB, volume 10252 of Lecture Notes in Computer Science, page 3-23. Springer, (2017)The dynamics of Learning Vector Quantization., , and . ESANN, page 13-18. (2005)Relevance matrices in LVQ., , and . ESANN, page 37-42. (2007)Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders., , , , , , , and . ESANN, (2017)Some steps towards a general principle for dimensionality reduction mappings., , and . Learning paradigms in dynamic environments, volume 10302 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2010)