| Hypergraphs as a mean of discovering the dependence structure of a discrete multivariate probability distribution T Szántai, E Kovács Annals of Operations Research 193, 71-90, 2012 | 39 | 2012 |
| Discovering a junction tree behind a Markov network by a greedy algorithm T Szántai, E Kovács Optimization and Engineering 14, 503-518, 2013 | 29 | 2013 |
| On the Approximation of a Discrete Multivariate Probability Distribution Using the New Concept of t-Cherry Junction Tree E Kovács, T Szántai Coping with Uncertainty: Robust Solutions, 39-56, 2009 | 27 | 2009 |
| Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data G Horváth, E Kovács, R Molontay, S Nováczki ACM Transactions on Intelligent Systems and Technology (TIST) 11 (3), 1-26, 2020 | 11 | 2020 |
| On the connection between cherry-tree copulas and truncated R-vine copulas E Kovács, T Szántai arXiv preprint arXiv:1604.03269, 2016 | 7 | 2016 |
| Application of t-cherry junction trees in pattern recognition T Szantai, E Kovacs BRAIN. Broad Research in Artificial Intelligence and Neuroscience 1, 40-45, 2010 | 7 | 2010 |
| Hypergraphs in the characterization of regular-vine copula structures E Kovács, S Tamás 13th International Conference on Mathematics and its Applications, held in …, 2013 | 5 | 2013 |
| Inventory Control in Sales Periods T Szántai, E Kovács, A Egri Acta Polytechnica Hungarica 15 (1), 87-104, 2018 | 4 | 2018 |
| Discovering the Markov network structure E Kovács, T Szántai arXiv preprint arXiv:1307.0643, 2013 | 4 | 2013 |
| Multivariate copula expressed by lower dimensional copulas E Kovacs, T Szantai arXiv preprint arXiv:1009.2898, 2010 | 3 | 2010 |
| Vine copulas as a mean for the construction of high dimensional probability distribution associated to a Markov Network E Kovács, T Szántai arXiv preprint arXiv:1105.1697, 2011 | 2 | 2011 |
| Some improvements of t-cherry Junction Trees E Kovacs, T Szantai 2008 First International Conference on Complexity and Intelligence of the …, 2008 | 2 | 2008 |
| A probabilistic classification method based on conditional independences E Kovács, T Szántai Annales universitatis scientiarum budapestiensis de rolando eotvos nominatae …, 2012 | 1 | 2012 |
| Matrix and graph representations of vine copula structures D Pfeifer, EA Kovács arXiv preprint arXiv:2205.04783, 2022 | | 2022 |
| The effect of the dependence structure on risk measures EM Gurka Dezsőné Csizmás, EA Kovács GRADUS 8 (3), 157-171, 2021 | | 2021 |
| BRAIN Journal-Application of t-Cherry Junction Trees in Pattern Recognition T Szantai, E Kovacs figshare, 2017 | | 2017 |
| Dimension Reduction by Exploring Conditional Independences T Szántai, E Kovács Dimension 58 (72), 2013 | | 2013 |
| Cluster analysis by exploiting conditional independences T Szántai, E Kovács 2013 IEEE 8th International Symposium on Applied Computational Intelligence …, 2013 | | 2013 |
| A probabilistic classification method based on conditional independences T Szántai, E Kovács Zoltán Csörnyei (Ed.), 95, 2012 | | 2012 |
| Portfolio selection using the dependence structure of the assets T Szántai, EA Kovács Universität-Gesamthochschule Padernborn, 2012 | | 2012 |
