Department of Software Technology
Vienna University of Technology
The GHSOM Project - Publications
Publications
Some selected publications describing the GHSOM neural network and its applications.
- A. Rauber, D. Merkl, and M. Dittenbach:
The Growing Hierarchical Self-Organizing Map: Exploratory Analysis of High-Dimensional Data
To appear in: IEEE Transactions on Neural Networks, IEEE.
Abstract,
BibTeX,
for pre-print information send e-mail to rauber@ifs.tuwien.ac.at
- M. Dittenbach, A. Rauber, D. Merkl:
Uncovering Hierarchical Structure in Data Using the Growing Hierarchical Self-Organizing Map
To appear in: Neurocomputing, Nov. 2002, Elsevier.
Abstract,
BibTeX,
for pre-print information send e-mail to rauber@ifs.tuwien.ac.at
- A. Rauber, E. Pampalk, D. Merkl:
Using Psycho-Acoustic Models and Self-Organizing Maps to Create a Hierarchical Structuring of Music by Musical Styles
In: Proceedings of the 3rd International Conference on Music Information Retrieval (ISMIR 2002), October 13-17, 2002, Paris, France.
Abstract,
gnu-zipped Postscript (583 KB),
PDF (586 KB),
BibTeX
- A. Rauber, M. Dittenbach, and D. Merkl:
Towards Automatic Content-Based Organization of Multilingual Digital Libraries: An English, French and German View of the Russian Information Agency Nowosti News
In: Proceedings of the Third All-Russian Scientific Conference "Digital Libraries: Advanced Methods And Technologies, Digital Collections" (RCDL01)
Petrozavodsk, Russia, September 11-13, 2001.
Abstract,
PDF (275 KB),
BibTeX
- M. Dittenbach, and A. Rauber, and D. Merkl:
Business, Culture, Politics, and Sports -- How to Find Your Way Through a Bulk of News? On Content-Based Hierarchical Structuring and Organization of Large Document Archives
In: Proceedings of the 12th International Conference on Database and Expert Systems Applications (DEXA01), Sept. 3-7 2001, Munich, Germany, Springer Lecture Notes in Computer Science, Springer, 2001.
Abstract,
HTML,
gnu-zipped Postscript (160 KB),
PDF (197 KB),
BibTeX
- M. Dittenbach, and A. Rauber, and 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.
Abstract,
HTML,
gnu-zipped Postscript (160 KB),
PDF (1.9 MB),
BibTeX
-
The Growing Hierarchical Self-Organizing Map.
In: Proceedings of the International Joint Conference on Neural Networks 2000 (IJCNN'2000), 24. - 27. 7. 2000, Como, Italy, 2000.
Abstract,
HTML,
gnu-zipped Postscript (93 KB),
PDF (219 KB)
- Using Growing Hierarchical Self-Organizing Maps for Document Classification
Proceedings of the 8. European Symposium on Artificial Neural Networks (ESANN'2000) April 26-28, 2000, Bruges, Belgium.
Abstract,
HTML,
gnu-zipped Postscript (202 KB),
PDF (655 KB)
- Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture.
Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and
Data Mining (PAKDD2000), April 18. - 20. 2000, Kyoto, Japan,
Springer Lecture Notes in Artificial Intelligence (LNCS-LNAI 1805),
pp. 384 - 395, Springer, Germany, 2000.
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Comments: rauber@ifs.tuwien.ac.at