| Predicting soccer highlights from spatio-temporal match event streams T Decroos, V Dzyuba, J Van Haaren, J Davis Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 75 | 2017 |
| Flexible constrained sampling with guarantees for pattern mining V Dzyuba, M van Leeuwen, L De Raedt Data Mining and Knowledge Discovery, 1-28, 2017 | 44 | 2017 |
| Interactive discovery of interesting subgroup sets V Dzyuba, M van Leeuwen Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA …, 2013 | 44 | 2013 |
| Interactive learning of pattern rankings V Dzyuba, M van Leeuwen, S Nijssen, L De Raedt International Journal of Artificial Intelligence Tools 23 (6), 2014 | 40 | 2014 |
| Automatically discovering offensive patterns in soccer match data J Van Haaren, V Dzyuba, S Hannosset, J Davis International Symposium on Intelligent Data Analysis, 286-297, 2015 | 39 | 2015 |
| STARSS: A spatio-temporal action rating system for soccer T Decroos, J Van Haaren, V Dzyuba, J Davis Machine Learning and Data Mining for Sports Analytics ECML/PKDD 2017 workshop, 2017 | 37 | 2017 |
| Learning what matters–Sampling interesting patterns V Dzyuba, M van Leeuwen Pacific-Asia Conference on Knowledge Discovery and Data Mining, 534-546, 2017 | 16 | 2017 |
| Active preference learning for ranking patterns V Dzyuba, M van Leeuwen, S Nijssen, L De Raedt Proceedings of the 25th IEEE International Conference on Tools with …, 2013 | 13 | 2013 |
| Explaining Deviating Subsets through Explanation Networks A Ukkonen, V Dzyuba, M van Leeuwen Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | | 2017 |
