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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
81012006
Learning from positive and unlabeled data: A survey
J Bekker, J Davis
Machine Learning 109 (4), 719-760, 2020
6922020
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
3152019
Deep transfer via second-order markov logic
J Davis, P Domingos
Proceedings of the 26th annual international conference on machine learning …, 2009
2932009
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
2912010
Lifted probabilistic inference by first-order knowledge compilation
G Van den Broeck, N Taghipour, W Meert, J Davis, L De Raedt
IJCAI, 2178-2185, 2011
2392011
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
1442018
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
1292012
Machine learning with a reject option: A survey
K Hendrickx, L Perini, D Van der Plas, W Meert, J Davis
Machine Learning 113 (5), 3073-3110, 2024
1232024
Beyond the selected completely at random assumption for learning from positive and unlabeled data
J Bekker, P Robberechts, J Davis
Joint European conference on machine learning and knowledge discovery in …, 2019
1182019
Semi-Supervised Anomaly Detection with an Application to Water Analytics.
V Vercruyssen, W Meert, G Verbruggen, K Maes, R Baumer, J Davis
ICDM 2018, 527-536, 2018
1092018
Learning Markov network structure with decision trees
D Lowd, J Davis
2010 IEEE International Conference on Data Mining, 334-343, 2010
1082010
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
1072018
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
1062009
Markov network structure learning: A randomized feature generation approach
J Van Haaren, J Davis
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1148-1154, 2012
1012012
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
872005
Relationships between the external and internal training load in professional soccer: what can we learn from machine learning?
A Jaspers, TO De Beéck, MS Brink, WGP Frencken, F Staes, JJ Davis, ...
International journal of sports physiology and performance 13 (5), 625-630, 2018
862018
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
822013
An integrated approach to learning Bayesian networks of rules
J Davis, E Burnside, I de Castro Dutra, D Page, VS Costa
Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005
822005
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
762017
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