Hendrik Blockeel
Hendrik Blockeel
Department of Computer Science, KU Leuven
Verified email at - Homepage
Cited by
Cited by
Web mining research: A survey
R Kosala, H Blockeel
ACM Sigkdd Explorations Newsletter 2 (1), 1-15, 2000
Top-down induction of first-order logical decision trees
H Blockeel, L De Raedt
Artificial intelligence 101 (1-2), 285-297, 1998
Decision trees for hierarchical multi-label classification
C Vens, J Struyf, L Schietgat, S Džeroski, H Blockeel
Machine learning 73, 185-214, 2008
Top-down induction of clustering trees
H Blockeel, L De Raedt, J Ramon
arXiv preprint cs/0011032, 2000
Efficient algorithms for decision tree cross-validation
H Blockeel, J Struyf
Journal of Machine Learning Research 3 (Dec), 621-650, 2002
Predicting gene function using hierarchical multi-label decision tree ensembles
L Schietgat, C Vens, J Struyf, H Blockeel, D Kocev, S Džeroski
BMC bioinformatics 11, 1-14, 2010
Decision trees for hierarchical multilabel classification: A case study in functional genomics
H Blockeel, L Schietgat, J Struyf, S Džeroski, A Clare
Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006
Scaling up inductive logic programming by learning from interpretations
H Blockeel, L De Raedt, N Jacobs, B Demoen
Data Mining and Knowledge Discovery 3, 59-93, 1999
Improving the efficiency of inductive logic programming through the use of query packs
H Blockeel, L Dehaspe, B Demoen, G Janssens, J Ramon, ...
Journal of Artificial Intelligence Research 16, 135-166, 2002
On estimating model accuracy with repeated cross-validation
G Vanwinckelen, H Blockeel
Proceedings of the 21st Belgian-Dutch Conference on Machine Learning, 39-44, 2012
Hierarchical multi-classification
H Blockeel, M Bruynooghe, S Džeroski, J Ramon, J Struyf, L De Raedt, ...
Workshop notes of the kdd'02 workshop on multi-relational data mining, 21-35, 2002
Experiment databases: A new way to share, organize and learn from experiments
J Vanschoren, H Blockeel, B Pfahringer, G Holmes
Machine Learning 87, 127-158, 2012
Speeding up relational reinforcement learning through the use of an incremental first order decision tree learner
K Driessens, J Ramon, H Blockeel
Machine Learning: ECML 2001: 12th European Conference on Machine Learning …, 2001
Mining data from intensive care patients
J Ramon, D Fierens, F Güiza, G Meyfroidt, H Blockeel, M Bruynooghe, ...
Advanced Engineering Informatics 21 (3), 243-256, 2007
Multi-instance tree learning
H Blockeel, D Page, A Srinivasan
Proceedings of the 22nd international conference on Machine learning, 57-64, 2005
Query transformations for improving the efficiency of ILP systems
VS Costa, A Srinivasan, R Camacho, H Blockeel, B Demoen, G Janssens, ...
The Journal of Machine Learning Research 4, 465-491, 2003
Seeing the forest through the trees: Learning a comprehensible model from an ensemble
A Van Assche, H Blockeel
Machine Learning: ECML 2007: 18th European Conference on Machine Learning …, 2007
Scalability and efficiency in multi-relational data mining
H Blockeel, M Sebag
ACM SIGKDD Explorations Newsletter 5 (1), 17-30, 2003
Multi-relational data mining
A Knobbe, H Blockeel, A Siebes, D van der Wallen, L Dehaspe
Proceedings of the 9th Belgian-Dutch Conference on Machine Learning, 61-74, 1999
Lookahead and discretization in ILP
H Blockeel, L De Raedt
International Conference on Inductive Logic Programming, 77-84, 1997
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