Scholar
Hendrik Blockeel
Google Scholar ID: Eq5sUNpp0gwC
Department of Computer Science, KU Leuven
Citations & Impact
Citations
2,750
H-index
23
i10-index
50
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Developed TILDE: an efficient and versatile relational decision tree learner (Blockeel & De Raedt, 1998), widely used in relational learning applications
- Created ACE: a relational learning toolkit incorporating TILDE and other algorithms, built on a specialized logical inference engine (Blockeel et al., 1999)
- Proposed the Predictive Clustering framework: a unifying approach for symbolic machine learning that generalizes classification, regression, multi-label learning, conceptual clustering, semi-supervised learning, subgroup discovery, and ranking; implemented in TILDE and the Clus system
- Pioneered Experiment Databases for Machine Learning (Blockeel & Vanschoren, 2007), enabling advanced querying over large-scale experimental metadata; prototype ExpDB contains over 600,000 experimental runs
- Maintains an up-to-date publication list via the Lirias repository
Background
- Full professor ("gewoon hoogleraar") at the Department of Computer Science, KU Leuven
- Affiliated with Leiden University from 2007 to 2016
- Research interests include theory and algorithms for machine learning and data mining, with a focus on relational learning, graph mining, probabilistic logics, and inductive knowledge bases
- Applications of his research span computer science, bio-informatics, and medical informatics
- Member of the DTAI research group (Declarative Languages and Artificial Intelligence)
Co-authors