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Jesse Davis
Jesse Davis
Professor, Department of Computer Science, KU Leuven
Verified email at cs.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
The relationship between Precision-Recall and ROC curves
J Davis, M Goadrich
Proceedings of the 23rd international conference on Machine learning, 233-240, 2006
58132006
Learning first-order horn clauses from web text
S Schoenmackers, J Davis, O Etzioni, DS Weld
Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010
2542010
Deep transfer via second-order markov logic
J Davis, P Domingos
Proceedings of the 26th annual international conference on machine learning …, 2009
2442009
Learning from positive and unlabeled data: A survey
J Bekker, J Davis
Machine Learning 109 (4), 719-760, 2020
2342020
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
2002011
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
1472019
Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings
ES Burnside, J Davis, J Chhatwal, O Alagoz, MJ Lindstrom, BM Geller, ...
Radiology 251 (3), 663, 2009
992009
Learning Markov network structure with decision trees
D Lowd, J Davis
2010 IEEE International Conference on Data Mining, 334-343, 2010
932010
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
872012
Estimating the class prior in positive and unlabeled data through decision tree induction
J Bekker, J Davis
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
862018
Markov network structure learning: A randomized feature generation approach
J Van Haaren, J Davis
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
832012
An integrated approach to learning Bayesian networks of rules
J Davis, E Burnside, I Castro Dutra, D Page, VS Costa
European Conference on Machine Learning, 84-95, 2005
832005
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
782005
Bottom-Up Learning of Markov Network Structure
J Davis, PM Domingos
Proceedings of the 27th International Conference on Machine Learning, 271-278, 2010
692010
Predicting soccer highlights from spatio-temporal match event streams
T Decroos, V Dzyuba, J Van Haaren, J Davis
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
582017
Tractable learning for complex probability queries
J Bekker, J Davis, A Choi, A Darwiche, G Van den Broeck
Advances in Neural Information Processing Systems 28, 2015
582015
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
582013
Automatic discovery of tactics in spatio-temporal soccer match data
T Decroos, J Van Haaren, J Davis
Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018
572018
Semi-supervised anomaly detection with an application to water analytics
V Vercruyssen, W Meert, G Verbruggen, K Maes, R Baumer, J Davis
2018 ieee international conference on data mining (icdm) 2018, 527-536, 2018
572018
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
572014
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