Krisztian Buza

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Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
Alexandros NanopoulosBaden-Wuerttemberg Cooperative State University, Mosbach, GermanyVerified email at mosbach.dhbw.de
Ladislav PeskaCharles University, Department of Software EngineeringVerified email at ksi.mff.cuni.cz
Zoltán VidnyánszkyProfessor of NeuroscienceVerified email at ttk.hu
Júlia KollerSemmelweis EgyetemVerified email at med.semmelweis-univ.hu
Kristóf MarussyBudapest University of Technology and Economics, Department of Measurement and Information SystemsVerified email at mit.bme.hu
Viktor Gál MD PHDCEO Orthopred LtdVerified email at orthopred.com
Nenad TomasevGoogle DeepMindVerified email at google.com
Margit AntalSapientia Hungarian University of Transylvania, Faculty of Technical and Human Sciences, Targu MuresVerified email at ms.sapientia.ro
Petra HermannBrain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of SciencesVerified email at ttk.mta.hu
Aleksandra RevinaPhD Candidate TU Berlin / TH BrandenburgVerified email at tu-berlin.de
Philipp CimianoProfessor for Computer Science, Bielefeld UniversityVerified email at cimiano.de
Rodica Ioana LUNGBabeș-Bolyai UniversityVerified email at econ.ubbcluj.ro
Gaskó NoémiBabeș-Bolyai UniversityVerified email at ubbcluj.ro
Mihai SuciuBabeș-Bolyai UniversityVerified email at ubbcluj.ro
Tomas HorvathELTE Eötvös Loránd University, Budapest, HungaryVerified email at inf.elte.hu
Kamil KsiążekInstitute of Theoretical and Applied Informatics of Polish Academy of SciencesVerified email at iitis.pl
Noemi Agnes VargaClinical geneticist fellow, PhD student in neuroscienceVerified email at med.semmelweis-univ.hu
Lucas DrumondVerified email at ismll.de
Leandro Balby MarinhoProfessor de Ciência da Computação, Universidade Federal de Campina GrandeVerified email at dsc.ufcg.edu.br

Krisztian Buza

Jožef Stefan Institute, Ljubljana, Slovenia

Verified email at ijs.si - Homepage

data mining machine learning classification clustering time series


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Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture RJ Meszlényi, K Buza, Z Vidnyánszky Frontiers in neuroinformatics 11, 61, 2017	140	2017
Feedback prediction for blogs K Buza Data analysis, machine learning and knowledge discovery, 145-152, 2013	125	2013
A specialized histone H1 variant is required for adaptive responses to complex abiotic stress and related DNA methylation in Arabidopsis K Rutowicz, M Puzio, J Halibart-Puzio, M Lirski, M Kotliński, MA Kroteń, ... Plant Physiology 169 (3), 2080-2101, 2015	120	2015
Resting state fMRI functional connectivity analysis using dynamic time warping RJ Meszlényi, P Hermann, K Buza, V Gál, Z Vidnyánszky Frontiers in neuroscience 11, 75, 2017	93	2017
Insight: efficient and effective instance selection for time-series classification K Buza, A Nanopoulos, L Schmidt-Thieme Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia …, 2011	78	2011
Drug-target interaction prediction: a Bayesian ranking approach L Peska, K Buza, J Koller Computer methods and programs in biomedicine 152, 15-21, 2017	77	2017
Success: a new approach for semi-supervised classification of time-series K Marussy, K Buza Artificial Intelligence and Soft Computing: 12th International Conference …, 2013	62	2013
Motif-based classification of time series with bayesian networks and svms K Buza, L Schmidt-Thieme Advances in Data Analysis, Data Handling and Business Intelligence …, 2010	56	2010
Nearest neighbor regression in the presence of bad hubs K Buza, A Nanopoulos, G Nagy Knowledge-Based Systems 86, 250-260, 2015	51	2015
Drug–target interaction prediction with bipartite local models and hubness-aware regression K Buza, L Peška Neurocomputing 260, 284-293, 2017	48	2017
Hubness-aware classification, instance selection and feature construction: Survey and extensions to time-series N Tomašev, K Buza, K Marussy, PB Kis Feature selection for data and pattern recognition, 231-262, 2015	48	2015
Hubness-aware kNN classification of high-dimensional data in presence of label noise N Tomašev, K Buza Neurocomputing 160, 157-172, 2015	41	2015
Scalable event-based clustering of social media via record linkage techniques T Reuter, P Cimiano, L Drumond, K Buza, L Schmidt-Thieme Proceedings of the international AAAI conference on web and social media 5 …, 2011	40	2011
It ticket classification: The simpler, the better A Revina, K Buza, VG Meister IEEE Access 8, 193380-193395, 2020	37	2020
Storage-optimizing clustering algorithms for high-dimensional tick data K Buza, GI Nagy, A Nanopoulos Expert Systems with Applications 41 (9), 4148-4157, 2014	37	2014
Fusion methods for time-series classification KA Buza Peter Lang Verlag, 2011	35	2011
Folksonomy-based collabulary learning L Balby Marinho, K Buza, L Schmidt-Thieme The Semantic Web-ISWC 2008: 7th International Semantic Web Conference, ISWC …, 2008	35	2008
Time series classification and its applications K Buza Proceedings of the 8th International Conference on Web Intelligence, Mining …, 2018	28	2018
Classification of gene expression data: a hubness-aware semi-supervised approach K Buza Computer methods and programs in biomedicine 127, 105-113, 2016	28	2016
Fusion of similarity measures for time series classification K Buza, A Nanopoulos, L Schmidt-Thieme Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS …, 2011	24	2011

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