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Publications of Author

1. Jan Struyf, Jesse Davis, C. David Page Jr.
   An Efficient Approximation to Lookahead in Relational Learners. [Citation Graph (0, 0)][DBLP]
   ECML, 2006, pp:775-782 [Conf]
   
2. Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare
   Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. [Citation Graph (0, 0)][DBLP]
   EPIA, 2005, pp:272-283 [Conf]
   
3. Hendrik Blockeel, Jan Struyf
   Efficient algorithms for decision tree cross-validation. [Citation Graph (0, 0)][DBLP]
   ICML, 2001, pp:11-18 [Conf]
   
4. Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa
   Change of Representation for Statistical Relational Learning. [Citation Graph (0, 0)][DBLP]
   IJCAI, 2007, pp:2719-2726 [Conf]
   
5. Jan Struyf, Hendrik Blockeel
   Efficient Cross-Validation in ILP. [Citation Graph (0, 0)][DBLP]
   ILP, 2001, pp:228-239 [Conf]
   
6. Jan Struyf, Hendrik Blockeel
   Query Optimization in Inductive Logic Programming by Reordering Literals. [Citation Graph (0, 0)][DBLP]
   ILP, 2003, pp:329-346 [Conf]
   
7. Jan Struyf, Jan Ramon, Hendrik Blockeel
   Compact Representation of Knowledge Bases in ILP. [Citation Graph (0, 0)][DBLP]
   ILP, 2002, pp:254-269 [Conf]
   
8. Jan Struyf, Saso Dzeroski
   Constraint Based Induction of Multi-objective Regression Trees. [Citation Graph (0, 0)][DBLP]
   KDID, 2005, pp:222-233 [Conf]
   
9. Bernard Zenko, Saso Dzeroski, Jan Struyf
   Learning Predictive Clustering Rules. [Citation Graph (0, 0)][DBLP]
   KDID, 2005, pp:234-250 [Conf]
   
10. Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare
    Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:18-29 [Conf]
    
11. Hendrik Blockeel, Jan Struyf
    Efficient algorithms for decision tree cross-validation [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
    
12. Hendrik Blockeel, Jan Struyf
    Deriving biased classifiers for better ROC performance. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2002, v:26, n:1, pp:- [Journal]
    
13. Hendrik Blockeel, Jan Struyf
    Efficient Algorithms for Decision Tree Cross-validation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:621-650 [Journal]
    
14. 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. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:465-491 [Journal]
    
15. Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel
    Compact Representation of Knowledge Bases in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:57, n:3, pp:305-333 [Journal]
    
16. Jan Struyf, Saso Dzeroski
    Clustering Trees with Instance Level Constraints. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:359-370 [Conf]
    
17. Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
    Ensembles of Multi-Objective Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:624-631 [Conf]
    
18. Saso Dzeroski, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf
    Analysis of Time Series Data with Predictive Clustering Trees. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:63-80 [Conf]
    
19. Élisa Fromont, Hendrik Blockeel, Jan Struyf
    Integrating Decision Tree Learning into Inductive Databases. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:81-96 [Conf]
    
20. Dragi Kocev, Jan Struyf, Saso Dzeroski
    Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. [Citation Graph (0, 0)][DBLP]
    KDID, 2006, pp:134-151 [Conf]
    
21. Saso Dzeroski, Jan Struyf
    5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2007, v:9, n:1, pp:56-58 [Journal]
    
22. 
    Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. [Citation Graph (, )][DBLP]
    
    
23. 
    CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. [Citation Graph (, )][DBLP]
    
    
24. 
    Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method. [Citation Graph (, )][DBLP]
    
    
25. 
    Predicting gene function using hierarchical multi-label decision tree ensembles. [Citation Graph (, )][DBLP]