Stebėti
Tomas Horvath
Pavadinimas
Cituota
Cituota
Metai
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
1522016
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
1512012
Factorization Models for Forecasting Student Performance.
N Thai-Nghe, T Horváth, L Schmidt-Thieme
EDM, 11-20, 2011
1472011
A General Introduction to Data Analytics
J Moreira, ACP de Leon Ferreira, T Horváth
John Wiley & Sons, 2018
942018
Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms
RG Mantovani, T Horváth, ALD Rossi, R Cerri, SB Junior, J Vanschoren, ...
arXiv preprint arXiv:1812.02207, 2018
742018
Opinion-driven matrix factorization for rating prediction
Š Pero, T Horváth
User Modeling, Adaptation, and Personalization: 21th International …, 2013
732013
Evolutionary computing in recommender systems: a review of recent research
T Horváth, AC de Carvalho
Natural Computing 16, 441-462, 2017
642017
Matrix and tensor factorization for predicting student performance
N Thai-Nghe, L Drumond, T Horváth, A Nanopoulos, L Schmidt-Thieme
International Conference on Computer Supported Education 2, 69-78, 2011
572011
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
562011
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
552019
Object detection using sim2real domain randomization for robotic applications
D Horváth, G Erdős, Z Istenes, T Horváth, S Földi
IEEE Transactions on Robotics 39 (2), 1225-1243, 2022
542022
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
452014
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
452005
Abstractive Text Summarization using Transfer Learning
E Zolotareva, TM Tashu, T Horváth
402020
Using factorization machines for student modeling.
N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme
UMAP Workshops, 2012
402012
Ordinal classification with monotonicity constraints
T Horváth, P Vojtáš
Advances in Data Mining. Applications in Medicine, Web Mining, Marketing …, 2006
362006
A model of user preference learning for content-based recommender systems
T Horvath
Computing and informatics 28 (4), 453, 2009
342009
Induction of fuzzy and annotated logic programs
T Horváth, P Vojtáš
International Conference on Inductive Logic Programming, 260-274, 2006
322006
Personalized forecasting student performance
N Thai-Nghe, T Horv, L Schmidt-Thieme
2011 IEEE 11th International Conference on Advanced Learning Technologies …, 2011
302011
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
292006
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