Publications
2008
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Georg Pölzlbauer, Thomas Lidy and Andreas Rauber.
Decision Manifolds - A supervised learning algorithm based on Self-Organization.
In IEEE Transactions on Neural Networks, 19:9, p. 1518 - 1530, September 2008.
[ IEEE Digital Library ]
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Derek Green, Pádraig Cunningham, and Rudolf Mayer.
Unsupervised Learning and Clustering.
In Matthieu Cord and Pádraig Cunningham (Editors): Machine Learning Techniques for Multimedia.
pp. 51 - 90, Springer Berlin Heidelberg, 2008, ISBN: 978-3-540-75170-0.
[ bib ]
[ Springer Link ]
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Rudolf Mayer, Angela Roiger, and Andreas Rauber.
Map-based Interfaces for Information Management in Large Text Collections.
Journal of Digital Information Management, 6 (2008), 4, pp 294-302.
PDF
BibTeX
2007
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Rudolf Mayer, Angela Roiger, and Andreas Rauber.
Supporting Information Management in Digital Libraries with Map-based Interfaces.
In Proceedings of the International Conference on Digital Information Management (ICDIM 2007), Lyon, France, October 28-31 2007. IEEE Computer Society.
PDF
BibTeX
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Khalid Latif and Rudolf Mayer.
Sky-Metaphor Visualisation for Self-Organising Maps.
In Proceedings of the 7th International Conference on Knowledge Management (I-KNOW'07), Graz, Austria, September 5 - 7 2007.
PDF
BibTeX
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Rudolf Mayer, Angela Roiger, and Andreas Rauber.
Supporting Information Management in Digital Libraries with Map-based Interfaces.
In Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries (ECDL'07), Budapest, Hungary, September 16 - 21 2007. Springer Verlag.
PDF
BibTeX
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Rudolf Mayer, Taha Abdel Aziz, and Andreas Rauber.
Visualising Class Distribution on Self-Organising Maps.
In Proceedings of the International Conference on Artificial Neural Networks (ICANN'07), Porto, Portugal, September 9 - 13 2007. Springer Verlag.
PDF
BibTeX
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Robert Neumayer, Rudolf Mayer, and Andreas Rauber.
Component selection for the metro visualisation of the SOM.
In Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM'07), Bielefeld, Germany, September 3-6 2007.
[bib |
.pdf ]
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Georg Pölzlbauer, Thomas Lidy and Andreas Rauber.
Decision Manifolds: Classification Inspired by Self-Organization.
Proceedings of the 6th International Workshop on Self-Organizing Maps, Bielefeld, Germany, September 3-6, 2007.
[pdf]
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Robert Neumayer, Rudolf Mayer, Georg Pölzlbauer, and Andreas Rauber.
The metro visualisation of component planes for self-organising maps.
In Proceedings of the International Joint Conference on Neural Networks (IJCNN'07), Orlando, FL, USA, August 12-17 2007. IEEE Computer Society.
[ bib |
.pdf ]
2006
- G. Pölzlbauer, M. Dittenbach, A. Rauber.
Advanced visualization of Self-Organizing Maps with vector fields.
Neural Networks, 19(6-7):911-922, July-August 2006
DOI,
BibTeX
2005
- G. Pölzlbauer, M. Dittenbach, A. Rauber.
Gradient visualization of grouped component planes on the SOM lattice.
Proceedings of the 5th Workshop On Self-Organizing Maps Paris (WSOM 2005), pp. 331-338, September 5-8 2005, Paris, France.
PDF,
BibTeX
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Rudolf Mayer, Dieter Merkl, Andreas Rauber.
Mnemonic SOMs: Recognizable Shapes for Self-Organizing Maps
In Proceedings of the 5th Workshop On Self-Organizing Maps Paris (WSOM 2005), pp. 131-138, September 5-8 2005, Paris, France.
PDF,
BibTeX
- G. Pölzlbauer, M. Dittenbach, A. Rauber.
A visualization technique for Self-Organizing Maps with vector fields to obtain the cluster structure at desired levels of detail
Proceedings of the International Joint Conference on Neural Networks (IJCNN 2005), pp. 1558-1563, July 31-August 4, 2005, Montreal, Canada.
PDF,
BibTeX
- M. Dittenbach, A. Rauber, G. Pölzlbauer.
Investigation of Alternative Strategies and Quality Measures for Controlling the Growth Process of the Growing Hierarchical Self-Organizing Map
Proceedings of the International Joint Conference on Neural Networks (IJCNN 2005), pp. 2954-2959, July 31-August 4, 2005, Montreal, Canada.
PDF,
BibTeX
- G. Pölzlbauer, A. Rauber, M. Dittenbach.
A novel vector field visualization for Self-Organizing
Maps and its applications in the petroleum industry
Proceedings of the Symposium on Knowledge and Information Visualisation (iKnow 2005), pages 502-509, June 29 2005, Graz, Austria.
PDF,
BibTeX
- G. Pölzlbauer, M. Dittenbach, A. Rauber
Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods.
{Proceedings of the Second International Symposium on Neural Networks (ISNN'05), pp. 75-80, May 30 - June 1 2005, Chongquin, China. Springer.
PDF,
BibTeX
- Georg Pölzlbauer, Andreas Rauber and Michael Dittenbach
A Vector Field Visualization Technique for Self-organizing Maps.
Proceedings of the Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'05), pp.399--409, May 18--20 2005, Hanoi, Vietnam. Springer.
PDF,
BibTeX
- G. Pölzlbauer, A. Rauber, M. Dittenbach.
Graph projection techniques for Self-Organizing Maps.
Proceedings of the European Symposium on Artificial Neural Networks (ESANN'05), pp. 533-538, April 27-29 2005, Bruges, Belgium. d-side.
PDF,
BibTeX
2004
- H. Avancini, A. Rauber, F. Sebastiani.
Organizing Digital Libraries by Automated Text Categorization
In: Proceedings of the International Conference on Digital Libraries (ICDL2004), pp. 919-931, February 24-27 2004, New Delhi, India.
PDF,
BibTeX
- G. Pölzlbauer.
Application of Self-Organizing Maps to a Political Dataset
Master Thesis, Vienna University of Technology, 2004.
PDF,
BibTeX
2003
- A. Rauber.
Hierarchical Structuring, Analysis, and Exploration of High-Dimensional Feature Spaces
OCG-Books 173, 90pp, Austrian Computer Society, 2003.
Abstract,
BibTeX
- D. Merkl, S.H. He, M. Dittenbach, A. Rauber.
Adaptive Hierarchical Incremental Grid Growing: An architecture for high-dimensional data visualization
Proceedings of the Workshop on Self-Organizing Maps (WSOM 2003), September 11-14 2003, pp. 293-298, Kitakyushu, Japan.
Abstract,
PDF (256 KB),
BibTeX
2002
- A. Rauber, D. Merkl, M. Dittenbach.
The Growing Hierarchical Self-Organizing Map: Exploratory Analysis of High-Dimensional Data
In: IEEE Transactions on Neural Networks, Vol. 13, No 6, pp. 1331-1341, November 2002. IEEE.
Note: There exists an Erratum
regarding the article as published and as available at the IEEE Digital Library IEEE Explore!
Abstract,
Erratum!!!,
PDF including Erratum (44KB),
gnu-zipped Postscript including Erratum (79KB),
BibTeX
- M. Dittenbach, A. Rauber, D. Merkl.
Uncovering Hierarchical Structure in Data Using the Growing Hierarchical Self-Organizing Map
Neurocomputing, Vol. 48, No. 1-4, pp. 199-216, October 2002, Elsevier.
Abstract,
BibTeX,
Elsevier Science Direct on-line version (requires password),
to obtain a copy of this article, please send an e-mail to rauber@ifs.tuwien.ac.at
- E. Pampalk, A. Rauber, D. Merkl.
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
In: Proceedings of the Intl Conf on Artificial Neural Networks (ICANN 2002), pp.871-876, August 27.-30. 2002, Madrid, Spain.
Abstract,
gnu-zipped Postscript (234 KB),
PDF (375),
BibTeX
2001
- A. Rauber, D. Merkl.
Automatic Labeling of Self-Organizing Maps for Information
Retrieval
In: Journal of Systems Research and Information Systems (JSRIS),
Vol. 10, Nr. 10, pp 23-45, OPA, Gordon and Breach Science Publishers, December 2001.
Abstract,
gnu-zipped Postscript (180 KB, pre-print),
PDF (319 KB, pre-print),
BibTeX,
for a copy, please contact rauber@ifs.tuwien.ac.at
- M. Dittenbach, A. Rauber, D. Merkl.
Recent Advances with the Growing Hierarchical Self-Organizing Map
In: Allinson, N. and Yin, H. and Allinson, L. and Slack, J. (eds.) Advances in Self-Organizing Maps: Proceedings of the 3rd Workshop on Self-Organizing Maps June 13-15 2001, Lincoln, England, Springer, 2001.
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HTML,
gnu-zipped Postscript (160 KB),
PDF (1.9 MB),
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