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Buza Krisztián,
adjunktus Számítástudományi és Információelméleti Tanszék Villamosmérnöki és Informatikai Kar, BME E-Mail: buza (kukac) cs (pont) bme (pont) hu Telefon: + 36 20 912 7426 Adminisztráció telefonszáma: + 36 1 463 2585 Iroda: I. E. 217. 3., 1117 Budapest, Magyar tudósok körútja 2. |
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Krisztian Buza, Gabor Nagy, Alexandros Nanopoulos (2014): Storage-Optimizing Clustering Algorithms for High-Dimensional Tick Data [paper] Expert Systems with Applications, Vol. 41, pp. 4148-4157. Nenad Tomasev, Krisztian Buza, Kristóf Marussy, Piroska B. Kis (to appear): Hubness-aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series [paper] In: U. Stanczyk, L. Jain (eds.), Feature selection for data and pattern recognition (tentative title), Springer-Verlag Krisztian Buza, Gabor I. Nagy, Alexandros Nanopoulos (2014): Trend analysis and anomaly detection in time series of language usage [poster] VI. Dubrovnik Conference on Cognitive Science (DUCOG) Krisztian Buza, Gabor I. Nagy, Alexandros Nanopoulos (2014): Three Open Questions related to the Tick Data Decomposition Problem [abstract] Summit240 Conference, abstract Kristóf Marussy, Krisztian Buza (2013): SUCCESS: A New Approach for Semi-Supervised Classification of Time-Series [paper] ICAISC, LNCS Vol. 7894, pages 437-447, Springer. The original publication is available at www.springerlink.com. Krisztian Buza, Julia Koller (2013): Speeding up the classification of biomedical signals via instance selection [abstract] [poster] 5th Dubrovnik Conference on Cognitive Science, Learning & Perception, Volume 5, Supplement 1 Krisztian Buza, Ilona Galambos (2013): An Application of Link Prediction in Bipartite Graphs: Personalized Blog Feedback Prediction, [paper] 8th Japanese-Hungarian Symposium on Discrete Mathematics and Its Applications Gabor I. Nagy, Krisztian Buza (2012): Efficient Storage of Tick Data That Supports Search and Analysis, [paper] [presentation slides] 12th Industrial Conference on Data Mining, Berlin, LNCS Vol. 7377, pages 38-51, Springer. Nominated for the Best Paper Award The original publication is available at www.springerlink.com. K. Buza, A. Nanopoulos, T. Horváth, L. Schmidt-Thieme (2012): GRAMOFON: General Model-selection Framework based on Networks, [paper at Elsevier] to appear in Neurocomputing, Volume 75, Issue 1, pages 163-170, Elsevier Gabor I. Nagy, Krisztian Buza (2012): Clustering Algorithms for Storage of Tick Data, [abstract] The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery August 1-3, 2012, Hildesheim, Germany Krisztian Buza (2012): Feedback Predicition for Blogs, [absztrakt] [a cikkben használt adatok] [fóliák] [cikk] The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery August 1-3, 2012, Hildesheim, Germany Gabor I. Nagy, Krisztian Buza (2012): Partitional Clustering of Tick Data to Reduce Storage Space. IEEE 16th International Conference on Intelligent Engineering Systems K. Buza, A. Buza, P.B. Kis (2011): A Distributed Genetic Algorithm for Graph-Based Clustering, [paper] [presentation slides] Man-Machine Interactions 2, Advances in Intelligent and Soft Computing, Volume 103/2011, pages 323-331, Springer The original publication is available at www.springerlink.com. T. Horváth, A. Eckhardt, K. Buza, P. Vojtás, L. Schmidt-Thieme (2011): Value-transformation for Monotone Prediction by Approximating Fuzzy Membership Functions, [paper] [poster] 12th IEEE International Symposium on Computational Intelligence and Informatics K. Buza, A. Nanopoulos, L. Schmidt-Thieme (2011): INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification, [paper] Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), LNCS Vol. 6635, pages 149-160, Springer. The original publication is available at www.springerlink.com. K. Buza, A. Nanopoulos, L. Schmidt-Thieme (2010): Time-Series Classification based on Individualised Error Prediction, [paper] 13th IEEE International Conference on Computational Science and Engineering (CSE-2010). Best Paper Award Legtöbb régebbi publikációm megtalálható a korábbi weblapomon. |
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