People:
Krisztian Buza, Dipl.-Ing.
Office hour:
C38 Spl, upon request
Phone, Fax, Email:
| Phone: | +49 5121/ 883-857 |
| Fax: | +49 5121 / 882-859 |
| e-mail: |  |
Postal address:
Information Systems and Machine Learning Lab
Marienburger Platz 22
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Publications:
- Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme (2010):
Graph-Based Model-Selection Framework for Large Ensembles, in 5th International Conference on Hybrid Artificial Intelligence Systems, HAIS2010, LNCS/LNAI 6076, pp. 559-566, Springer, Berlin/Heidelberg.
- Sebastian Blohm, Krisztian Buza, Philipp Cimiano, Lars Schmidt-Thieme (2010):
Relation Extraction for the Semantic Web with Taxonomic Sequential Patterns, to appear in Vijayan Sugumaran and Jon Atle Gulla (Editors). Applied Semantic Web Technologies. Boca Raton, FL: Taylor and Francis Group, ISBN: 978-14398-01567.
- Krisztian Buza, Lars Schmidt-Thieme (2009):
A Simple Ensemble Technique, in Analytic Challenge 'Ensembling' at the Australian Data Mining Conference (AusDM 2009).
- Krisztian Buza, Christine Preisach, Andre Busche, Lars Schmidt-Thieme, Wye Houn Leong, Mark Walters (2009):
Eigenmode Identification in Campbell Diagrams, in International Workshop on Machine Learning for Aerospace.
- Lorenza Romano, Krisztian Buza, Claudio Giuliano, Lars Schmidt-Thieme (2009):
XMedia: Web People Search by Clustering with Machinely Learned Similarity Measures, in 2nd Web People Search Evaluation Workshop at World Wide Web Conference, Madrid, Spain.
- Krisztian Buza, Lars Schmidt-Thieme (2009):
Motif-based Classification of Time Series with Bayesian Networks and SVMs, in Proceedings of 32nd Annual Conference of the Gesellschaft für Klassifikation (GfKl 2008), Hamburg, Germany.
- Krisztian Buza, Leandro Balby Marinho, Lars Schmidt-Thieme (2008):
On Learning Knowledge Bases for Collabularies, in Internation Scientific Conference Series in Honour of the Hungarian
Science Day at the College of Dunaujvaros.
- Leandro Balby Marinho, Krisztian Buza, Lars Schmidt-Thieme (2008):
Folksonomy-based Collabulary Learning, in Proceedings of the International Semantic Web Conference (ISWC'08), Springer.
- Krisztian Buza, Ferenc Bodon (2007):
Is it worth mining association rules?, in The 5th Hungarian-Japanese Symposium on Discrete Mathematics and Its Applications.
- K. Buza, A. Buza, P. B. Kis (2010):
Towards Better Modeling of Supermarkets, in IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics (ICCC-CONTI 2010), Timisoara, Romania, pp. 499-503.