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ORCIDTina Geweniger
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2010 – 2019
- 2019
[c20]Tina Geweniger, Thomas Villmann:
Variants of Fuzzy Neural Gas. WSOM+ 2019: 261-270- 2018
- [c19]Thomas Villmann, Tina Geweniger:
Multi-class and Cluster Evaluation Measures Based on Rényi and Tsallis Entropies and Mutual Information. ICAISC (1) 2018: 736-749 - 2017
- [c18]Tina Geweniger, Thomas Villmann:
Relational and median variants of Possibilistic Fuzzy C-Means. WSOM 2017: 234-240 - 2014
- [c17]Tina Geweniger, Frank-Michael Schleif, Thomas Villmann:
Probabilistic Prototype Classification Using t-norms. WSOM 2014: 99-108 - 2013
- [j3]Tina Geweniger, Lydia Fischer, Marika Kaden, Mandy Lange, Thomas Villmann:
Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters. Comput. Intell. Neurosci. 2013: 165248:1-165248:10 (2013) - [c16]Tina Geweniger, Marika Kästner, Thomas Villmann:
Border sensitive fuzzy vector quantization in semi-supervised learning. ESANN 2013 - 2012
- [c15]Tina Geweniger, Marika Kästner, Mandy Lange, Thomas Villmann:
Modified Conn-Index for the evaluation of fuzzy clusterings. ESANN 2012 - [c14]Thomas Villmann, Tina Geweniger, Marika Kästner, Mandy Lange:
Fuzzy Neural Gas for Unsupervised Vector Quantization. ICAISC (1) 2012: 350-358 - 2011
- [c13]Tina Geweniger, Marika Kästner, Thomas Villmann:
Optimization of Parametrized Divergences in Fuzzy c-Means. ESANN 2011 - [c12]Petra Schneider, Tina Geweniger, Frank-Michael Schleif
, Michael Biehl, Thomas Villmann:
Multivariate class labeling in Robust Soft LVQ. ESANN 2011 - [c11]Marika Kästner, Andreas Backhaus, Tina Geweniger, Sven Haase, Udo Seiffert, Thomas Villmann:
Relevance Learning in Unsupervised Vector Quantization Based on Divergences. WSOM 2011: 90-100 - 2010
- [j2]Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann:
Median fuzzy c-means for clustering dissimilarity data. Neurocomputing 73(7-9): 1109-1116 (2010) - [c10]Tina Geweniger, Thomas Villmann:
Extending FSNPC to handle data points with fuzzy class assignments. ESANN 2010 - [c9]Dietlind Zühlke, Frank-Michael Schleif, Tina Geweniger, Sven Haase, Thomas Villmann:
Learning vector quantization for heterogeneous structured data. ESANN 2010
2000 – 2009
- 2009
- [c8]Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann:
Median Variant of Fuzzy c-Means. ESANN 2009 - [c7]Dietlind Zühlke, Tina Geweniger, Ulrich Heimann, Thomas Villmann:
Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers. ESANN 2009 - [c6]Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann:
Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means. WSOM 2009: 72-79 - 2008
- [c5]Alexander Hasenfuss, Barbara Hammer, Tina Geweniger, Thomas Villmann:
Magnification Control in Relational Neural Gas. ESANN 2008: 325-330 - [c4]Tina Geweniger, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, Thomas Villmann:
Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity. ICONIP (2) 2008: 61-69 - 2006
- [j1]Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Wieland Hermann:
Fuzzy classification by fuzzy labeled neural gas. Neural Networks 19(6-7): 772-779 (2006) - [c3]Thomas Villmann, Udo Seiffert, Frank-Michael Schleif, Cornelia Brüß, Tina Geweniger, Barbara Hammer:
Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. ANNPR 2006: 46-56 - [c2]Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell:
Prototype Based Classification Using Information Theoretic Learning. ICONIP (2) 2006: 40-49 - 2001
- [c1]Gero Strauß, Christos Trantakis, Dirk Winkler, Tina Geweniger, Martin Bublat, T. Schulz, M. Buecheler, Friedrich Bootz:
Enhanced CAS in head and neck-surgery: evaluation of intraoperative data modality iMRI and sonography. CARS 2001: 14-19
Coauthor Index
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