Jan Struyf

34 papers A* 2A 1B 5Misc 1Journal 10Unranked 10
YearRankTypeTitle / Venue / Authors
2017 — ch.
Relational Learning.
Encyclopedia of Machine Learning and Data Mining
Jan Struyf, Hendrik Blockeel
2013 J jnl
Tree ensembles for predicting structured outputs.
Pattern Recognit.
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
2010 A conf
Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method.
SDM
Beau Piccart, Jan Struyf, Hendrik Blockeel
2010 — ch.
Constrained Predictive Clustering.
Inductive Databases and Constraint-Based Data Mining
Jan Struyf, Saso Dzeroski
2010 — ch.
Predicting Gene Function using Predictive Clustering Trees.
Inductive Databases and Constraint-Based Data Mining
Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
2010 J jnl
Predicting gene function using hierarchical multi-label decision tree ensembles.
BMC Bioinform.
Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski
2010 — ch.
Relational Learning.
Encyclopedia of Machine Learning
Jan Struyf, Hendrik Blockeel
2009 B conf
CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods.
ILP
Wannes Meert, Jan Struyf, Hendrik Blockeel
2009 — conf
First-Order Bayes-Ball for CP-Logic.
MLG/SRL@ILP
Nima Taghipour, Wannes Meert, Jan Struyf, Hendrik Blockeel
2008 J jnl
Decision trees for hierarchical multi-label classification.
Mach. Learn.
Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel
2008 B conf
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees.
Discovery Science
Beau Piccart, Jan Struyf, Hendrik Blockeel
2008 J jnl
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques.
Fundam. Informaticae
Wannes Meert, Jan Struyf, Hendrik Blockeel
2007 J jnl
5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report.
SIGKDD Explor.
Saso Dzeroski, Jan Struyf
2007 A* conf
Change of Representation for Statistical Relational Learning.
IJCAI
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa
2007 — conf
Clustering Trees with Instance Level Constraints.
ECML
Jan Struyf, Saso Dzeroski
2007 — conf
Ensembles of Multi-Objective Decision Trees.
ECML
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
2007 — ed.
Knowledge Discovery in Inductive Databases, 5th International Workshop, KDID 2006, Berlin, Germany, September 18, 2006, Revised Selected and Invited Papers
KDID
Saso Dzeroski, Jan Struyf
2006 — conf
An Efficient Approximation to Lookahead in Relational Learners.
ECML
Jan Struyf, Jesse Davis, C. David Page Jr.
2006 — conf
Analysis of Time Series Data with Predictive Clustering Trees.
KDID
Saso Dzeroski, Valentin Gjorgjioski, Ivica Slavkov, Jan Struyf
2006 — conf
Beam Search Induction and Similarity Constraints for Predictive Clustering Trees.
KDID
Dragi Kocev, Jan Struyf, Saso Dzeroski
2006 — conf
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.
PKDD
Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare
2006 — conf
Integrating Decision Tree Learning into Inductive Databases.
KDID
Élisa Fromont, Hendrik Blockeel, Jan Struyf
2005 — conf
Constraint Based Induction of Multi-objective Regression Trees.
KDID
Jan Struyf, Saso Dzeroski
2005 Misc conf
Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics.
EPIA
Jan Struyf, Saso Dzeroski, Hendrik Blockeel, Amanda Clare
2005 — conf
Learning Predictive Clustering Rules.
KDID
Bernard Zenko, Saso Dzeroski, Jan Struyf
2004 J jnl
Compact Representation of Knowledge Bases in Inductive Logic Programming.
Mach. Learn.
Jan Struyf, Jan Ramon, Maurice Bruynooghe, Sofie Verbaeten, Hendrik Blockeel
2003 B conf
Query Optimization in Inductive Logic Programming by Reordering Literals.
ILP
Jan Struyf, Hendrik Blockeel
2003 J jnl
Query Transformations for Improving the Efficiency of ILP Systems.
J. Mach. Learn. Res.
Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele, Wim Van Laer
2002 B conf
Compact Representation of Knowledge Bases in ILP.
ILP
Jan Struyf, Jan Ramon, Hendrik Blockeel
2002 J jnl
Deriving biased classifiers for better ROC performance.
Informatica (Slovenia)
Hendrik Blockeel, Jan Struyf
2002 J jnl
Efficient Algorithms for Decision Tree Cross-validation.
J. Mach. Learn. Res.
Hendrik Blockeel, Jan Struyf
2001 B conf
Efficient Cross-Validation in ILP.
ILP
Jan Struyf, Hendrik Blockeel
2001 J jnl
Efficient algorithms for decision tree cross-validation
CoRR
Hendrik Blockeel, Jan Struyf
2001 A* conf
Efficient algorithms for decision tree cross-validation.
ICML
Hendrik Blockeel, Jan Struyf