Tomas Horvath

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Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
Nguyen Thai-NgheCan Tho UniversityVerified email at cit.ctu.edu.vn
Tsegaye Misikir TashuUniversity of GroningenVerified email at rug.nl
André Carlos Ponce de Leon Ferreira...Artificial Intelligence Professor, University of São PauloVerified email at icmc.usp.br
Lucas DrumondVerified email at ismll.de
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Stefan PeroPhD student, Institute of Computer Science, Pavol Jozef Safarik University in KosiceVerified email at student.upjs.sk
Péter KissPhD Student, ELTE University, Faculty of Informatics, Departement of Data Science and EngineeringVerified email at inf.elte.hu
Ricardo CerriAssistant Professor, Department of Computer Science, Federal University of São CarlosVerified email at ufscar.br
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Artus Krohn-GrimbergheLYTiQ GmbHVerified email at aisbi.de
João Mendes-MoreiraAssociate professor, Faculty of Engineering, University of Porto / LIAAD - INESC TECVerified email at fe.up.pt
Lendák Imre (ORCID: 0000-0001-618...Faculty of technical sciences, University of Novi Sad, SerbiaVerified email at uns.ac.rs
Krisztian BuzaJožef Stefan Institute, Ljubljana, SloveniaVerified email at ijs.si
Zakarya FarouELTE Eötvös Loránd University, Budapest, HungaryVerified email at inf.elte.hu
Ladislav PeskaCharles University, Department of Software EngineeringVerified email at ksi.mff.cuni.cz
Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureVerified email at dia.units.it
Gábor SzegediEötvös Loránd TudományegyetemVerified email at inf.elte.hu
Marta AlexyEotvos Lorand UniversityVerified email at inf.elte.hu
Frantisek SudzinaPrague University of Economics and BusinessVerified email at vse.cz

Tomas Horvath

ELTE Eötvös Loránd University, Budapest, Hungary

Verified email at inf.elte.hu - Homepage

data mining machine learning recommendation techniques artificial intelligence


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Factorization Models for Forecasting Student Performance. N Thai-Nghe, T Horváth, L Schmidt-Thieme EDM, 11-20, 2011	126	2011
Factorization techniques for predicting student performance N Thai-Nghe, L Drumond, T Horváth, A Krohn-Grimberghe, A Nanopoulos, ... Educational recommender systems and technologies: Practices and challenges …, 2012	121	2012
Hyper-parameter tuning of a decision tree induction algorithm RG Mantovani, T Horváth, R Cerri, J Vanschoren, AC de Carvalho 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 37-42, 2016	95	2016
Opinion-driven matrix factorization for rating prediction Š Pero, T Horváth User Modeling, Adaptation, and Personalization: 21th International …, 2013	67	2013
A General Introduction to Data Analytics J Moreira, ACP de Leon Ferreira, T Horváth John Wiley & Sons, 2018	66	2018
Multi-relational factorization models for predicting student performance N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme Proc. of the KDD Workshop on Knowledge Discovery in Educational Data, 27-40, 2011	54	2011
Evolutionary computing in recommender systems: a review of recent research T Horváth, AC de Carvalho Natural Computing 16, 441-462, 2017	53	2017
Matrix and Tensor Factorization for Predicting Student Performance. N Thai-Nghe, L Drumond, T Horváth, A Nanopoulos, L Schmidt-Thieme CSEDU (1), 69-78, 2011	51	2011
Buried pipe localization using an iterative geometric clustering on GPR data R Janning, A Busche, T Horváth, L Schmidt-Thieme Artificial Intelligence Review 42 (3), 403-425, 2014	41	2014
Swarm intelligence techniques in recommender systems-A review of recent research L Peška, TM Tashu, T Horváth Swarm and Evolutionary Computation 48, 201-219, 2019	39	2019
Fuzzy RDF in the semantic web: Deduction and induction V Vaneková, J Bella, P Gurský, T Horváth Proceedings of Workshop on Data Analysis (WDA 2005), 16-29, 2005	39	2005
Ordinal classification with monotonicity constraints T Horváth, P Vojtáš Advances in Data Mining. Applications in Medicine, Web Mining, Marketing …, 2006	37	2006
Using factorization machines for student modeling. N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme UMAP Workshops, 2012	36	2012
An empirical study on hyperparameter tuning of decision trees RG Mantovani, T Horváth, R Cerri, SB Junior, J Vanschoren, ... arXiv preprint arXiv:1812.02207, 2018	34	2018
A model of user preference learning for content-based recommender systems T Horvath Computing and informatics 28 (4), 453, 2009	33	2009
Induction of fuzzy and annotated logic programs T Horváth, P Vojtáš International Conference on Inductive Logic Programming, 260-274, 2006	32	2006
UPRE: User preference based search system P Gursky, T Horvath, R Novotny, V Vaneková, P Vojtas 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main …, 2006	27	2006
Personalized forecasting student performance N Thai-Nghe, T Horv, L Schmidt-Thieme 2011 IEEE 11th International Conference on Advanced Learning Technologies …, 2011	26	2011
PHASES: A user profile learning approach for web search A Eckhardt, T Horváth, P Vojtás Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence …, 2007	24	2007
Pair-Wise: Automatic Essay Evaluation using Word Mover's Distance. TM Tashu, T Horváth CSEDU (1), 59-66, 2018	22	2018

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