Tomas Horvath
Tomas Horvath
ELTE Eötvös Loránd University, Budapest, Hungary
Verified email at inf.elte.hu - Homepage
Title
Cited by
Cited by
Year
Factorization Models for Forecasting Student Performance.
N Thai-Nghe, T Horváth, L Schmidt-Thieme
EDM, 11-20, 2011
1072011
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
912012
Opinion-driven matrix factorization for rating prediction
© Pero, T Horváth
International Conference on User Modeling, Adaptation, and Personalization, 1-13, 2013
522013
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
462011
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
392011
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
362016
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
362014
Ordinal classification with monotonicity constraints
T Horváth, P Vojtáą
Industrial Conference on Data Mining, 217-225, 2006
352006
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
322005
Evolutionary computing in recommender systems: a review of recent research
T Horváth, AC de Carvalho
Natural Computing 16 (3), 441-462, 2017
312017
Induction of fuzzy and annotated logic programs
T Horváth, P Vojtáą
International Conference on Inductive Logic Programming, 260-274, 2006
312006
A model of user preference learning for content-based recommender systems
T Horvath
Computing and informatics 28 (4), 453, 2009
302009
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
282006
Using factorization machines for student modeling.
N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme
UMAP Workshops, 2012
252012
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
232007
A General Introduction to Data Analytics
J Moreira, ACP de Leon Ferreira, T Horváth
John Wiley & Sons, 2018
202018
Personalized forecasting student performance
N Thai-Nghe, T Horv, L Schmidt-Thieme
2011 IEEE 11th International Conference on Advanced Learning Technologies …, 2011
202011
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
172011
An ILP model for a graded classification problem. J
T Horváth, S Krajči, R Lencses, P Vojtáą
Kybernetika 40 (3), 317-332, 2004
172004
Learning different user profile annotated rules for fuzzy preference top-k querying
A Eckhardt, T Horváth, P Vojtáą
International Conference on Scalable Uncertainty Management, 116-130, 2007
152007
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Articles 1–20