Contact

Background

• 1997-2004: student of Informatics (Computer Science) at Vienna University of Technology
• 2004-2008: PhD in Computer Science at Vienna University of Technology on Visualization of Self-Organizing Maps

Teaching 2006

• 181.191 Machine Learning [TUWIS | Slides]
• 188.246 AK aus Information Engineering 1 [TUWIS | Course Homepage]
• Master and Bachelor Theses upon request

Projects

research activities within the MUSCLE EU network of excellence research on visualization methods and Self-Organizing Maps for an industrial partner co-organizer of ECDL 2005 conference

Publications

• Georg Pölzlbauer.
  Advanced data exploration methods based on Self-Organizing Maps
  PhD Thesis, Vienna University of Technology, 2008. [bib | pdf]
• Georg Pölzlbauer, Thomas Lidy, Andreas Rauber.
  Decision manifolds - a supervised learning algorithm based on self-organization.
  IEEE Transactions on Neural Networks, 19(9):1518-1530, September 2008 [bib | doi]
• Georg Pölzlbauer, Thomas Lidy, Andreas Rauber.
  Decision manifolds: Classification inspired by self-organization.
  In Proceedings of the Sixth Workshop on Self-Organizing Maps (WSOM'07) , Bielefeld, Germany, September 3-6 2007. [bib | pdf]
• Robert Neumayer, Rudolf Mayer, Georg Pölzlbauer, 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, Florida, USA, August 12-17 2007. [bib | pdf | poster]
• Georg Pölzlbauer, Michael Dittenbach, Andreas Rauber.
  Advanced visualization of Self-Organizing Maps with vector fields.
  Neural Networks, 19(6-7):911-922, July-August 2006 [bib | doi]
• Thomas Lidy, Georg Pölzlbauer, and Andreas Rauber.
  Sound re-synthesis from rhythm pattern features - audible insight into a music feature extraction process
  In Proceedings of the International Computer Music Conference (ICMC), pages 93-96, Barcelona, Spain, September 5-9 2005. [bib | pdf]
• Georg Pölzlbauer, Michael Dittenbach, and Andreas Rauber.
  Gradient visualization of grouped component planes on the som lattice
  In Marie Cottrell, editor, Proceedings of the Fifth Workshop on Self-Organizing Maps (WSOM'05), pages 331-338, Paris, France, September 5-8 2005. [bib | pdf | poster]
• Georg Pölzlbauer, Michael Dittenbach, and Andreas Rauber.
  A visualization technique for self-organizing maps with vector fields to obtain the cluster structure at desired levels of detail
  In Proceedings of the International Joint Conference on Neural Networks (IJCNN'05), pages 1558-1563, Montreal, Canada, July 31 - August 5 2005. IEEE Computer Society. [bib | pdf]
• Michael Dittenbach, Andreas Rauber, and Georg Pölzlbauer.
  Investigation of Alternative Strategies and Quality Measures for Controlling the Growth Process of the Growing Hierarchical Self-Organizing Map
  In Proceedings of the International Joint Conference on Neural Networks (IJCNN'05), pages 2954-2959, Montreal, Canada, July 31 - August 5 2005. IEEE Computer Society. [bib | pdf]
• Georg Pölzlbauer, Andreas Rauber, and Michael Dittenbach.
  A SOM-view of oilfield data: A novel vector field visualization for self-organizing maps and its applications in the petroleum industry
  In Klaus Tochtermann and Hermann Maurer, editors, Proceedings of the Fifth International Conference on Knowledge Management (I-KNOW'05), pages 502-509, Graz, Austria, June 29 - July 1 2005. J.UCS - Journal of Universal Computer Science. [bib | pdf]
• Georg Pölzlbauer.
  Visualization of data from the petroleum industry with vector fields on top of self-organizing maps
  In Peter Bednár, Tomáš Horváth, Ján Paralic, and Andreas Rauber, editors, Proceedings of the Sixth Workshop on Data Analysis (WDA'05), pages 42-49, Abaújszántó, Tokaj-region, Hungary, June 20-22 2005. Elfa Academic Press. [bib]
• Georg Pölzlbauer, Andreas Rauber, and Michael Dittenbach.
  Advanced visualization techniques for self-organizing maps with graph-based methods
  In Jun Wang, Xiaofeng Liao, Zhang Yi, editors, Proceedings of the Second International Symposium on Neural Networks (ISNN'05), pages 75-80, Chongqing, China, May 30 - June 1 2005. Springer-Verlag. [bib | pdf]
• Georg Pölzlbauer, Andreas Rauber, and Michael Dittenbach.
  A vector field visualization technique for self-organizing maps
  In Tu Bao Ho, David Cheung, Huan Li, editors, Proceedings of the Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'05), pages 399-409, Hanoi, Vietnam, May 18-20 2005. Springer-Verlag. [bib | pdf]
• Georg Pölzlbauer, Andreas Rauber, and Michael Dittenbach.
  Graph projection techniques for self-organizing maps
   In Michel Verleysen, editor, Proceedings of the European Symposium on Artificial Neural Networks (ESANN'05), pages 533-538, Bruges, Belgium, April 27-29 2005. d-side publications. [bib | pdf | poster]
• Georg Pölzlbauer.
  Survey and comparison of quality measures for self-organizing maps.
  In Ján Paralic, Georg Pölzlbauer, and Andreas Rauber, editors, Proceedings of the Fifth Workshop on Data Analysis (WDA'04), pages 67-82, Sliezsky dom, Vysoké Tatry, Slovakia, June 24-27 2004. Elfa Academic Press. [bib | pdf]
• Georg Pölzlbauer.
  Application of Self-Organizing Maps to a Political Dataset
  Master Thesis, Vienna University of Technology, 2004. [bib | pdf]