Tomas Horvath

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Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
Peter VojtasProfessor of Computer Science, Charles UniversityVerified email at ksi.mff.cuni.cz
Nguyen Thai-NgheAssoc. Prof. Dr., Can Tho UniversityVerified email at cit.ctu.edu.vn
Tsegaye Misikir TashuPostdoctoral Research Fellow , Eotvos Lorand University, Budapest, Hungary.Verified email at inf.elte.hu
Lucas DrumondVerified email at ismll.de
Stefan PeroPhD student, Institute of Computer Science, Pavol Jozef Safarik University in KosiceVerified email at student.upjs.sk
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
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
Péter KissPhD Student, ELTE University, Faculty of Informatics, Departement of Data Science and EngineeringVerified email at inf.elte.hu
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
Krisztian BuzaEötvös Lorand University, Budapest, HungaryVerified email at cs.uni-bonn.de
Ladislav PeskaCharles University, Department of Software EngineeringVerified email at ksi.mff.cuni.cz
Frantisek SudzinaAalborg UniversityVerified email at business.aau.dk
Lendák Imre (ORCID: 0000-0001-618...Faculty of technical sciences, University of Novi Sad, SerbiaVerified email at uns.ac.rs
Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureVerified email at dia.units.it
Gábor SzegediEötvös Loránd TudományegyetemVerified email at inf.elte.hu
Andrea GalloniPhD Student, ELTE UniversityVerified email at inf.elte.hu
Zakarya FarouData Science and Engineering Ph.D. StudentVerified email at inf.elte.hu

Tomas Horvath

ELTE Eötvös Loránd University, Budapest, Hungary

Verified email at inf.elte.hu - Homepage

data mining machine learning recommendation techniques artificial intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Factorization Models for Forecasting Student Performance. N Thai-Nghe, T Horváth, L Schmidt-Thieme EDM, 11-20, 2011	121	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	104	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	71	2016
Opinion-driven matrix factorization for rating prediction Š Pero, T Horváth International Conference on User Modeling, Adaptation, and Personalization, 1-13, 2013	61	2013
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	51	2011
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	49	2011
A General Introduction to Data Analytics J Moreira, ACP de Leon Ferreira, T Horváth John Wiley & Sons, 2018	47	2018
Evolutionary computing in recommender systems: a review of recent research T Horváth, AC de Carvalho Natural Computing 16 (3), 441-462, 2017	44	2017
Ordinal classification with monotonicity constraints T Horváth, P Vojtáš Industrial Conference on Data Mining, 217-225, 2006	37	2006
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	35	2014
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	35	2005
Using factorization machines for student modeling. N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme UMAP Workshops, 2012	32	2012
A model of user preference learning for content-based recommender systems T Horvath Computing and informatics 28 (4), 453, 2009	32	2009
Induction of fuzzy and annotated logic programs T Horváth, P Vojtáš International Conference on Inductive Logic Programming, 260-274, 2006	32	2006
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	29	2019
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	29	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
Context-aware factorization for personalized student’s task recommendation N Thai-Nghe, T Horvath, L Schmidt-Thieme Proceedings of the international workshop on personalization approaches in …, 2011	21	2011
Pair-Wise: Automatic Essay Evaluation using Word Mover's Distance. TM Tashu, T Horváth CSEDU (1), 59-66, 2018	18	2018

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