| The relationship between Precision-Recall and ROC curves J Davis, M Goadrich Proceedings of the 23rd international conference on Machine learning, 233-240, 2006 | 4180 | 2006 |
| Learning first-order horn clauses from web text S Schoenmackers, J Davis, O Etzioni, D Weld Proceedings of the 2010 Conference on Empirical Methods on Natural Language …, 2010 | 219 | 2010 |
| Deep transfer via second-order markov logic J Davis, P Domingos Proceedings of the 26th annual international conference on machine learning …, 2009 | 190 | 2009 |
| Lifted probabilistic inference by first-order knowledge compilation G Van den Broeck, N Taghipour, W Meert, J Davis, L De Raedt Proceedings of the Twenty-Second international joint conference on …, 2011 | 177 | 2011 |
| ICML'06: Proceedings of the 23rd international conference on Machine learning J Davis, M Goadrich New York, NY, USA: ACM, 233-240, 2006 | 101 | 2006 |
| Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings1 ES Burnside, J Davis, J Chhatwal, O Alagoz, MJ Lindstrom, BM Geller, ... Radiology 251 (3), 663-672, 2009 | 92 | 2009 |
| An integrated approach to learning Bayesian networks of rules J Davis, E Burnside, I de Castro Dutra, D Page, VS Costa European Conference on Machine Learning, 84-95, 2005 | 78 | 2005 |
| Learning Markov network structure with decision trees D Lowd, J Davis 2010 IEEE International Conference on Data Mining, 334-343, 2010 | 74 | 2010 |
| View Learning for Statistical Relational Learning: With an Application to Mammography. J Davis, ES Burnside, I de Castro Dutra, D Page, R Ramakrishnan, ... IJCAI, 677-683, 2005 | 71 | 2005 |
| Markov network structure learning: A randomized feature generation approach J Van Haaren, J Davis Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence 2 …, 2012 | 66 | 2012 |
| Unachievable region in precision-recall space and its effect on empirical evaluation K Boyd, VS Costa, J Davis, CD Page Proceedings of the... International Conference on Machine Learning …, 2012 | 57 | 2012 |
| Learning from positive and unlabeled data: a survey. J Bekker, J Davis Mach. Learn. 109 (4), 719-760, 2020 | 53 | 2020 |
| Actions speak louder than goals: Valuing player actions in soccer T Decroos, L Bransen, J Van Haaren, J Davis Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 51 | 2019 |
| Change of Representation for Statistical Relational Learning. J Davis, IM Ong, J Struyf, ES Burnside, D Page, VS Costa IJCAI, 2719-2726, 2007 | 45 | 2007 |
| Lifted variable elimination: Decoupling the operators from the constraint language N Taghipour, D Fierens, J Davis, H Blockeel Journal of Artificial Intelligence Research 47, 393-439, 2013 | 43 | 2013 |
| Tractable learning for complex probability queries J Bekker, J Davis, A Choi, A Darwiche, G Van den Broeck Advances in Neural Information Processing Systems, 2242-2250, 2015 | 42 | 2015 |
| Predicting Soccer Highlights from Spatio-Temporal Match Event Streams. T Decroos, V Dzyuba, J Van Haaren, J Davis AAAI 17, 1302-1308, 2017 | 41 | 2017 |
| Automatically detecting and rating product aspects from textual customer reviews W Bancken, D Alfarone, J Davis Proceedings of the 1st international workshop on interactions between data …, 2014 | 41 | 2014 |
| Conditioning in first-order knowledge compilation and lifted probabilistic inference G Van den Broeck, J Davis Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 1-7, 2012 | 41 | 2012 |
| Using bayesian classifiers to combine rules J Davis, V Santos Costa, I Ong, D Page, I Dutra | 41 | 2004 |
Jan Van HaarenSciSports and KU LeuvenVerified email at cs.kuleuven.be
