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
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
Efficient algorithms for decision tree cross-validation
H Blockeel, J Struyf
Journal of Machine Learning Research 3 (Dec), 621-650, 2002
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
On estimating model accuracy with repeated cross-validation
G Vanwinckelen, H Blockeel
BeneLearn 2012: Proceedings of the 21st Belgian-Dutch conference on machine …, 2012
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
Hierarchical multi-classification
H Blockeel, M Bruynooghe, S Dzeroski, J Ramon, J Struyf
Proceedings of the ACM SIGKDD 2002 workshop on multi-relational data mining …, 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
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
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
Multi-relational data mining
AJ Knobbe, H Blockeel, A Siebes, DMG Van der Wallen
Centrum voor wiskunde en informatica, 1999
Scalability and efficiency in multi-relational data mining
H Blockeel, M Sebag
ACM SIGKDD Explorations Newsletter 5 (1), 17-30, 2003
Simultaneous prediction of multiple chemical parameters of river water quality with TILDE
H Blockeel, S Džeroski, J Grbović
European Conference on Principles of Data Mining and Knowledge Discovery, 32-40, 1999
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