| Factorization Models for Forecasting Student Performance. N Thai-Nghe, T Horváth, L Schmidt-Thieme EDM, 11-20, 2011 | 116 | 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 | 101 | 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 | 54 | 2016 |
| Opinion-driven matrix factorization for rating prediction © Pero, T Horváth International Conference on User Modeling, Adaptation, and Personalization, 1-13, 2013 | 52 | 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 | 48 | 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 | 43 | 2011 |
| Evolutionary computing in recommender systems: a review of recent research T Horváth, AC de Carvalho Natural Computing 16 (3), 441-462, 2017 | 38 | 2017 |
| Ordinal classification with monotonicity constraints T Horváth, P Vojtáą Industrial Conference on Data Mining, 217-225, 2006 | 36 | 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 | 33 | 2005 |
| 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 Vojtáą International Conference on Inductive Logic Programming, 260-274, 2006 | 32 | 2006 |
| A General Introduction to Data Analytics J Moreira, ACP de Leon Ferreira, T Horváth John Wiley & Sons, 2018 | 31 | 2018 |
| 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 | 28 | 2006 |
| Using factorization machines for student modeling. N Thai-Nghe, L Drumond, T Horváth, L Schmidt-Thieme UMAP Workshops, 2012 | 27 | 2012 |
| Personalized forecasting student performance N Thai-Nghe, T Horv, L Schmidt-Thieme 2011 IEEE 11th International Conference on Advanced Learning Technologies …, 2011 | 23 | 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 | 23 | 2007 |
| 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 | 22 | 2019 |
| 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 | 18 | 2011 |
| An ILP model for a graded classification problem. J T Horváth, S Krajči, R Lencses, P Vojtáą Kybernetika 40 (3), 317-332, 2004 | 17 | 2004 |
