Personen:
Krisztian Buza, Dipl.-Ing.
Sprechstunde:
C38 Spl, n.V.
C38 Spl, n.V.
Telefon, Fax, E-Mail:
Telefon: | 05121 / 883-857 |
Telefax: | 05121 / 883-859 |
E-Mail: |
Postanschrift:
Wirtschaftsinformatik und Maschinelles Lernen
Marienburger Platz 22
Universität Hildesheim
31141 Hildesheim
Wirtschaftsinformatik und Maschinelles Lernen
Marienburger Platz 22
Universität Hildesheim
31141 Hildesheim
Besuchsadresse:
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim
Publikationen:
Bücher:
- Krisztian Buza (2011):
Fusion Methods for Time Series Classification, PhD thesis, University of Hildesheim, as book at Peter Lang Verlag.
- Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme, Julia Koller (2011):
Fast Classification of Electrocardiograph Signals via Instance Selection, in Proceedings of the First IEEE conference on Healthcare Informatics, Imaging and Systems Biology. - Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification, in Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), LNCS Vol. 6635, Springer. - Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
Fusion of Similarity Measures for Time-Series Classification, in Proceedings of the 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS), LNCS Vol. 6679, Springer. - Krisztian Buza, Alexandros Nanopoulos, Tomáš Horváth, Lars Schmidt-Thieme (2011):
GRAMOFON: General Model-selection Framework based on Networks, Neurocomputing, Elsevier . - Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
IQ Estimation for Accurate Time-Series Classification, in IEEE Symposium Series on Computational Intelligence (SSCI) - IEEE Symposium on Computational Intelligence and Data Mining (CIDM). - Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme (2011):
Individualized Error Estimation for Classification and Regression Models, in 34nd Annual Conference of the Gesellschaft für Klassifikation (GfKl 2010). - Timo Reuter, Philipp Cimiano, Lucas Drumond, Krisztian Buza, Lars Schmidt-Thieme (2011):
Scalable event-based clustering of social media via record linkage techniques, in Fifth International AAAI Conference on Weblogs and Social Media. - Sebastian Blohm, Krisztian Buza, Philipp Cimiano, Lars Schmidt-Thieme (2011):
Relation Extraction for the Semantic Web with Taxonomic Sequential Patterns, in Applied Semantic Web Technologies. - Krisztian Buza, Alexandros Nanopoulos, Lars Schmidt-Thieme (2010):
Time-Series Classification based on Individualised Error Prediction, in 13th IEEE International Conference on Computational Science and Engineering (CSE-2010). Best paper award. - 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. - Krisztian Buza (2010):
Az AIDS elorehaladasanak felismerese gepi tanulas eszkozeivel (Prediction of HIV-progression using machine learning algorithms), in Internation Scientific Conference Series in Honour of the Hungarian Science Day at the College of Dunaujvaros. - 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. - 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). - 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.