Jan Struyf

Publication Activity (10 Years)

Years Active: 2001-2013
Publications (10 Years): 0

Top Topics

Linear Regression

Top Venues

Pattern Recognit.

Publications

Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
Tree ensembles for predicting structured outputs. Pattern Recognit. 46 (3) (2013)
Beau Piccart, Jan Struyf, Hendrik Blockeel
Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method. SDM (2010)
Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
Predicting gene function using hierarchical multi-label decision tree ensembles. BMC Bioinform. 11 (2010)
Wannes Meert, Jan Struyf, Hendrik Blockeel
CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. ILP (2009)
Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel
Decision trees for hierarchical multi-label classification. Mach. Learn. 73 (2) (2008)
Wannes Meert, Jan Struyf, Hendrik Blockeel
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques. Fundam. Informaticae 89 (1) (2008)
Beau Piccart, Jan Struyf, Hendrik Blockeel
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. Discovery Science (2008)
Saso Dzeroski, Jan Struyf
5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report. SIGKDD Explor. 9 (1) (2007)
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa
Change of Representation for Statistical Relational Learning. IJCAI (2007)
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
Ensembles of Multi-Objective Decision Trees. ECML (2007)
Jan Struyf, Saso Dzeroski
Clustering Trees with Instance Level Constraints. ECML (2007)
Saso Dzeroski, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf
Analysis of Time Series Data with Predictive Clustering Trees. KDID (2006)
Jan Struyf, Jesse Davis, C. David Page Jr.
An Efficient Approximation to Lookahead in Relational Learners. ECML (2006)
Élisa Fromont, Hendrik Blockeel, Jan Struyf
Integrating Decision Tree Learning into Inductive Databases. KDID (2006)
Dragi Kocev, Jan Struyf, Saso Dzeroski
Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. KDID (2006)
Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. PKDD (2006)
Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare
Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. EPIA (2005)
Bernard Zenko, Saso Dzeroski, Jan Struyf
Learning Predictive Clustering Rules. KDID (2005)
Jan Struyf, Saso Dzeroski
Constraint Based Induction of Multi-objective Regression Trees. KDID (2005)
Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel
Compact Representation of Knowledge Bases in Inductive Logic Programming. Mach. Learn. 57 (3) (2004)
Jan Struyf, Hendrik Blockeel
Query Optimization in Inductive Logic Programming by Reordering Literals. ILP (2003)
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. J. Mach. Learn. Res. 4 (2003)
Jan Struyf, Jan Ramon, Hendrik Blockeel
Compact Representation of Knowledge Bases in ILP. ILP (2002)
Hendrik Blockeel, Jan Struyf
Deriving biased classifiers for better ROC performance. Informatica (Slovenia) 26 (1) (2002)
Hendrik Blockeel, Jan Struyf
Efficient Algorithms for Decision Tree Cross-validation. J. Mach. Learn. Res. 3 (2002)
Jan Struyf, Hendrik Blockeel
Efficient Cross-Validation in ILP. ILP (2001)
Hendrik Blockeel, Jan Struyf
Efficient algorithms for decision tree cross-validation CoRR (2001)
Hendrik Blockeel, Jan Struyf
Efficient algorithms for decision tree cross-validation. ICML (2001)