Phone, Fax, Email:

Phone:	+49 5121/ 883-857
Fax:	+49 5121 / 883-859
e-mail:

Publications:
Books:

• 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.

• 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.