Sotabase

Career

· Professor, KU Leuven2020–
· Associate Professor, KU Leuven2015–2020
· Assistant Professor, KU Leuven2010–2015
· Postdoctoral Researcher, University of Washington2007–2010
· Doctor of Philosophy (PhD) in Computer Science, University of Wisconsin-Madison2002–2007
· Bachelor of Arts (BA) in Computer Science, Williams College1998–2002

Publications (359)

Learning from positive and unlabeled data: a survey
Machine-mediated learning · 2018
650
cited
Deep transfer via second-order Markov logic
International Conference on Machine Learning · 2009
248
cited
Actions Speak Louder than Goals: Valuing Player Actions in Soccer
Knowledge Discovery and Data Mining · 2018
219
cited
Learning First-Order Horn Clauses from Web Text
Conference on Empirical Methods in Natural Language Processing · 2010
216
cited
Machine learning with a reject option: a survey
Machine-mediated learning · 2021
161
cited
Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction
AAAI Conference on Artificial Intelligence · 2018
127
cited
Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
International Conference on Machine Learning · 2012
113
cited
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
ECML/PKDD · 2018
100
cited
Markov Network Structure Learning: A Randomized Feature Generation Approach
AAAI Conference on Artificial Intelligence · 2012
92
cited
Learning Markov Network Structure with Decision Trees
2010 IEEE International Conference on Data Mining · 2010
89
cited
Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data
Knowledge Discovery and Data Mining · 2018
82
cited
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language
Journal of Artificial Intelligence Research · 2013
76
cited
Semi-Supervised Anomaly Detection with an Application to Water Analytics
Industrial Conference on Data Mining · 2018
69
cited
An Integrated Approach to Learning Bayesian Networks of Rules
European Conference on Machine Learning · 2005
68
cited
A general anomaly detection framework for fleet-based condition monitoring of machines
Mechanical systems and signal processing · 2019
59
cited
VAEP: An Objective Approach to Valuing On-the-Ball Actions in Soccer (Extended Abstract)
International Joint Conference on Artificial Intelligence · 2020
58
cited
Tractable Learning for Complex Probability Queries
Neural Information Processing Systems · 2015
57
cited
Automatically Detecting and Rating Product Aspects from Textual Customer Reviews
DMNLP@PKDD/ECML · 2014
56
cited
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams
AAAI Conference on Artificial Intelligence · 2017
56
cited
Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion
Knowledge Discovery and Data Mining · 2018
54
cited
Sotabase