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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
1292011
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
1242012
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
992016
A General Introduction to Data Analytics
J Moreira, ACP de Leon Ferreira, T Horváth
John Wiley & Sons, 2018
682018
Opinion-driven matrix factorization for rating prediction
© Pero, T Horváth
User Modeling, Adaptation, and Personalization: 21th International …, 2013
682013
Evolutionary computing in recommender systems: a review of recent research
T Horváth, AC de Carvalho
Natural Computing 16, 441-462, 2017
552017
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
552011
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
512011
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
412014
Swarm intelligence techniques in recommender systems-A review of recent research
L Peąka, TM Tashu, T Horváth
Swarm and Evolutionary Computation 48, 201-219, 2019
402019
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
402005
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
372018
Using factorization machines for student modeling.
N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme
UMAP Workshops, 2012
372012
Ordinal classification with monotonicity constraints
T Horváth, P Vojtáą
Advances in Data Mining. Applications in Medicine, Web Mining, Marketing …, 2006
372006
A model of user preference learning for content-based recommender systems
T Horvath
Computing and informatics 28 (4), 453, 2009
332009
Induction of fuzzy and annotated logic programs
T Horváth, P Vojtáą
International Conference on Inductive Logic Programming, 260-274, 2006
322006
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
Personalized forecasting student performance
N Thai-Nghe, T Horv, L Schmidt-Thieme
2011 IEEE 11th International Conference on Advanced Learning Technologies …, 2011
272011
Pair-Wise: Automatic Essay Evaluation using Word Mover's Distance.
TM Tashu, T Horváth
CSEDU (1), 59-66, 2018
242018
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
242007
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Articles 1–20