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Tina Geweniger

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

14

Venues

3

Active years

2006–2025

Best venue rank

B

Where they publish

Papers

14 indexed papers, newest first.

YearVenueTitleAuthors
2025ESANNIntegrating Class Relation Knowledge in Probabilistic Learning Vector Quantization.Marika Kaden, Ronny Schubert, Tina Geweniger, Wieland Hermann, Thomas Villmann
2018ICAISCMulti-class and Cluster Evaluation Measures Based on Rnyi and Tsallis Entropies and Mutual Information.Thomas Villmann, Tina Geweniger
2013ESANNBorder sensitive fuzzy vector quantization in semi-supervised learning.Tina Geweniger, Marika Kstner, Thomas Villmann
2012ESANNModified Conn-Index for the evaluation of fuzzy clusterings.Tina Geweniger, Marika Kstner, Mandy Lange, Thomas Villmann
2012ICAISCFuzzy Neural Gas for Unsupervised Vector Quantization.Thomas Villmann, Tina Geweniger, Marika Kstner, Mandy Lange
2011ESANNOptimization of Parametrized Divergences in Fuzzy c-Means.Tina Geweniger, Marika Kstner, Thomas Villmann
2011ESANNMultivariate class labeling in Robust Soft LVQ.Petra Schneider, Tina Geweniger, Frank-Michael Schleif, Michael Biehl, Thomas Villmann
2010ESANNExtending FSNPC to handle data points with fuzzy class assignments.Tina Geweniger, Thomas Villmann
2010ESANNLearning vector quantization for heterogeneous structured data.Dietlind Zhlke, Frank-Michael Schleif, Tina Geweniger, Sven Haase, Thomas Villmann
2009ESANNMedian Variant of Fuzzy c-Means.Tina Geweniger, Dietlind Zhlke, Barbara Hammer, Thomas Villmann
2009ESANNFuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers.Dietlind Zhlke, Tina Geweniger, Ulrich Heimann, Thomas Villmann
2008ESANNMagnification Control in Relational Neural Gas.Alexander Hasenfuss, Barbara Hammer, Tina Geweniger, Thomas Villmann
2008ICONIPComparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, Thomas Villmann
2006ICONIPPrototype Based Classification Using Information Theoretic Learning.Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell