Proceedings

Jesse Davis

KU Leuven , Department of Computer Science & Leuven.AI , Belgium

10 papers in the IJCAI proceedings

IJCAI 2020

Class Prior Estimation in Active Positive and Unlabeled Learning
with Lorenzo Perini, Vincent Vercruyssen
doi:10.24963/ijcai.2020/403
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VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract)
with Tom Decroos, Lotte Bransen, Jan Van Haaren
doi:10.24963/ijcai.2020/648
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IJCAI 2017

Induction of Interpretable Possibilistic Logic Theories from Relational Data
with Ondrej Kuzelka, Steven Schockaert
doi:10.24963/ijcai.2017/160
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Solving Probability Problems in Natural Language
with Anton Dries, Angelika Kimmig, Vaishak Belle, Luc de Raedt
doi:10.24963/ijcai.2017/556
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IJCAI 2016

Dynamic Early Stopping for Naive Bayes
with Aäron Verachtert, Hendrik Blockeel
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Learning Possibilistic Logic Theories from Default Rules
with Ondrej Kuzelka, Steven Schockaert
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IJCAI 2015

Unsupervised Learning of an IS-A Taxonomy from a Limited Domain-Specific Corpus
with Daniele Alfarone
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IJCAI 2011

Lifted Probabilistic Inference by First-Order Knowledge Compilation
with Guy Van den Broeck, Nima Taghipour, Wannes Meert, Luc De Raedt
doi:10.5591/978-1-57735-516-8/IJCAI11-363
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IJCAI 2007

Change of Representation for Statistical Relational Learning
with Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, C. David Page Jr., Vítor Santos Costa
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IJCAI 2005

View Learning for Statistical Relational Learning: With an Application to Mammography
with Elizabeth S. Burnside, Inês de Castro Dutra, C. David Page Jr., Raghu Ramakrishnan, Vítor Santos Costa, Jude W. Shavlik
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