The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Jan Struyf: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

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]


Search in 0.003secs, Finished in 0.004secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002