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 | 146 | 2012 |
Factorization Models for Forecasting Student Performance. N Thai-Nghe, T Horváth, L Schmidt-Thieme EDM, 11-20, 2011 | 141 | 2011 |
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 | 131 | 2016 |
A General Introduction to Data Analytics J Moreira, ACP de Leon Ferreira, T Horváth John Wiley & Sons, 2018 | 81 | 2018 |
Opinion-driven matrix factorization for rating prediction Š Pero, T Horváth User Modeling, Adaptation, and Personalization: 21th International …, 2013 | 74 | 2013 |
Evolutionary computing in recommender systems: a review of recent research T Horváth, AC de Carvalho Natural Computing 16, 441-462, 2017 | 63 | 2017 |
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 | 61 | 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 | 56 | 2011 |
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 | 56 | 2011 |
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 | 52 | 2019 |
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 | 45 | 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 | 43 | 2005 |
Using factorization machines for student modeling. N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme UMAP Workshops, 2012 | 39 | 2012 |
Ordinal classification with monotonicity constraints T Horváth, P Vojtáš Advances in Data Mining. Applications in Medicine, Web Mining, Marketing …, 2006 | 36 | 2006 |
A model of user preference learning for content-based recommender systems T Horvath Computing and informatics 28 (4), 453, 2009 | 34 | 2009 |
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 | 33 | 2022 |
Abstractive Text Summarization using Transfer Learning E Zolotareva, TM Tashu, T Horváth | 32 | 2020 |
Induction of fuzzy and annotated logic programs T Horváth, P Vojtáš International Conference on Inductive Logic Programming, 260-274, 2006 | 32 | 2006 |
Personalized forecasting student performance N Thai-Nghe, T Horv, L Schmidt-Thieme 2011 IEEE 11th International Conference on Advanced Learning Technologies …, 2011 | 29 | 2011 |
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 |