Jesse Davis
Jesse Davis
Professor, Department of Computer Science, KU Leuven
Verified email at - Homepage
Cited by
Cited by
The relationship between Precision-Recall and ROC curves
J Davis, M Goadrich
Proceedings of the 23rd international conference on Machine learning, 233-240, 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
Deep transfer via second-order markov logic
J Davis, P Domingos
Proceedings of the 26th annual international conference on machine learning …, 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
ICML'06: Proceedings of the 23rd international conference on Machine learning
J Davis, M Goadrich
New York, NY, USA: ACM, 233-240, 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
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
Learning Markov network structure with decision trees
D Lowd, J Davis
2010 IEEE International Conference on Data Mining, 334-343, 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
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
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
Learning from positive and unlabeled data: a survey.
J Bekker, J Davis
Mach. Learn. 109 (4), 719-760, 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
Change of Representation for Statistical Relational Learning.
J Davis, IM Ong, J Struyf, ES Burnside, D Page, VS Costa
IJCAI, 2719-2726, 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
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
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams.
T Decroos, V Dzyuba, J Van Haaren, J Davis
AAAI 17, 1302-1308, 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
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
Using bayesian classifiers to combine rules
J Davis, V Santos Costa, I Ong, D Page, I Dutra
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