2008 |
25 | EE | Beau Piccart,
Jan Struyf,
Hendrik Blockeel:
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees.
Discovery Science 2008: 64-75 |
24 | EE | Wannes Meert,
Jan Struyf,
Hendrik Blockeel:
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques.
Fundam. Inform. 89(1): 131-160 (2008) |
23 | EE | Celine Vens,
Jan Struyf,
Leander Schietgat,
Saso Dzeroski,
Hendrik Blockeel:
Decision trees for hierarchical multi-label classification.
Machine Learning 73(2): 185-214 (2008) |
2007 |
22 | | Saso Dzeroski,
Jan Struyf:
Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers
Springer 2007 |
21 | EE | Jan Struyf,
Saso Dzeroski:
Clustering Trees with Instance Level Constraints.
ECML 2007: 359-370 |
20 | EE | Dragi Kocev,
Celine Vens,
Jan Struyf,
Saso Dzeroski:
Ensembles of Multi-Objective Decision Trees.
ECML 2007: 624-631 |
19 | EE | Jesse Davis,
Irene M. Ong,
Jan Struyf,
Elizabeth S. Burnside,
David Page,
Vítor Santos Costa:
Change of Representation for Statistical Relational Learning.
IJCAI 2007: 2719-2726 |
18 | EE | Saso Dzeroski,
Jan Struyf:
5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report.
SIGKDD Explorations 9(1): 56-58 (2007) |
2006 |
17 | EE | Jan Struyf,
Jesse Davis,
C. David Page Jr.:
An Efficient Approximation to Lookahead in Relational Learners.
ECML 2006: 775-782 |
16 | EE | Dragi Kocev,
Jan Struyf,
Saso Dzeroski:
Beam Search Induction and Similarity Constraints for Predictive Clustering Trees.
KDID 2006: 134-151 |
15 | EE | Saso Dzeroski,
Valentin Gjorgjioski,
Ivica Slavkov,
Jan Struyf:
Analysis of Time Series Data with Predictive Clustering Trees.
KDID 2006: 63-80 |
14 | EE | Élisa Fromont,
Hendrik Blockeel,
Jan Struyf:
Integrating Decision Tree Learning into Inductive Databases.
KDID 2006: 81-96 |
13 | EE | Hendrik Blockeel,
Leander Schietgat,
Jan Struyf,
Saso Dzeroski,
Amanda Clare:
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.
PKDD 2006: 18-29 |
2005 |
12 | EE | Jan Struyf,
Saso Dzeroski,
Hendrik Blockeel,
Amanda Clare:
Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics.
EPIA 2005: 272-283 |
11 | EE | Jan Struyf,
Saso Dzeroski:
Constraint Based Induction of Multi-objective Regression Trees.
KDID 2005: 222-233 |
10 | EE | Bernard Zenko,
Saso Dzeroski,
Jan Struyf:
Learning Predictive Clustering Rules.
KDID 2005: 234-250 |
2004 |
9 | EE | Jan Struyf,
Jan Ramon,
Maurice Bruynooghe,
Sofie Verbaeten,
Hendrik Blockeel:
Compact Representation of Knowledge Bases in Inductive Logic Programming.
Machine Learning 57(3): 305-333 (2004) |
2003 |
8 | EE | Jan Struyf,
Hendrik Blockeel:
Query Optimization in Inductive Logic Programming by Reordering Literals.
ILP 2003: 329-346 |
7 | EE | Vítor Santos Costa,
Ashwin Srinivasan,
Rui Camacho,
Hendrik Blockeel,
Bart Demoen,
Gerda Janssens,
Jan Struyf,
Henk Vandecasteele,
Wim Van Laer:
Query Transformations for Improving the Efficiency of ILP Systems.
Journal of Machine Learning Research 4: 465-491 (2003) |
2002 |
6 | EE | Jan Struyf,
Jan Ramon,
Hendrik Blockeel:
Compact Representation of Knowledge Bases in ILP.
ILP 2002: 254-269 |
5 | | Hendrik Blockeel,
Jan Struyf:
Deriving biased classifiers for better ROC performance.
Informatica (Slovenia) 26(1): (2002) |
4 | EE | Hendrik Blockeel,
Jan Struyf:
Efficient Algorithms for Decision Tree Cross-validation.
Journal of Machine Learning Research 3: 621-650 (2002) |
2001 |
3 | | Hendrik Blockeel,
Jan Struyf:
Efficient algorithms for decision tree cross-validation.
ICML 2001: 11-18 |
2 | EE | Jan Struyf,
Hendrik Blockeel:
Efficient Cross-Validation in ILP.
ILP 2001: 228-239 |
1 | EE | Hendrik Blockeel,
Jan Struyf:
Efficient algorithms for decision tree cross-validation
CoRR cs.LG/0110036: (2001) |