Efficient Cross-Validation in ILP. - Jan Struyf; Hendrik Blockeel (ILP, 2001)

Compact Representation of Knowledge Bases in ILP. - Jan Struyf; Jan Ramon; Hendrik Blockeel (ILP, 2002)

Deriving biased classifiers for better ROC performance. - Hendrik Blockeel; Jan Struyf (Informatica (Slovenia), 2002)

Efficient Algorithms for Decision Tree Cross-validation. - Hendrik Blockeel; Jan Struyf (J. Mach. Learn. Res., 2002)

Query Optimization in Inductive Logic Programming by Reordering Literals. - Jan Struyf; Hendrik Blockeel (ILP, 2003)

Query Transformations for Improving the Efficiency of ILP Systems. - Vítor Santos Costa; Ashwin Srinivasan 001; Rui Camacho; Hendrik Blockeel; Bart Demoen; Gerda Janssens; Jan Struyf; Henk Vandecasteele; Wim Van Laer (J. Mach. Learn. Res., 2003)

Compact Representation of Knowledge Bases in Inductive Logic Programming. - Jan Struyf; Jan Ramon; Maurice Bruynooghe; Sofie Verbaeten; Hendrik Blockeel (Mach. Learn., 2004)

Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics. - Jan Struyf; Saso Dzeroski; Hendrik Blockeel; Amanda Clare (EPIA, 2005)

Constraint Based Induction of Multi-objective Regression Trees. - Jan Struyf; Saso Dzeroski (KDID, 2005)

Learning Predictive Clustering Rules. - Bernard Zenko; Saso Dzeroski; Jan Struyf (KDID, 2005)

An Efficient Approximation to Lookahead in Relational Learners. - Jan Struyf; Jesse Davis; C. David Page Jr. (ECML, 2006)

Analysis of Time Series Data with Predictive Clustering Trees. - Saso Dzeroski; Valentin Gjorgjioski; Ivica Slavkov; Jan Struyf (KDID, 2006)

Integrating Decision Tree Learning into Inductive Databases. - Élisa Fromont; Hendrik Blockeel; Jan Struyf (KDID, 2006)

Beam Search Induction and Similarity Constraints for Predictive Clustering Trees. - Dragi Kocev; Jan Struyf; Saso Dzeroski (KDID, 2006)

Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics. - Hendrik Blockeel; Leander Schietgat; Jan Struyf; Saso Dzeroski; Amanda Clare (PKDD, 2006)

Ensembles of Multi-Objective Decision Trees. - Dragi Kocev; Celine Vens; Jan Struyf; Saso Dzeroski (ECML, 2007)

Clustering Trees with Instance Level Constraints. - Jan Struyf; Saso Dzeroski (ECML, 2007)

Change of Representation for Statistical Relational Learning. - Jesse Davis; Irene M. Ong; Jan Struyf; Elizabeth S. Burnside; David Page; Vítor Santos Costa (IJCAI, 2007)

5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report. - Saso Dzeroski; Jan Struyf (SIGKDD Explor., 2007)

Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees. - Beau Piccart; Jan Struyf; Hendrik Blockeel (Discovery Science, 2008)

Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques. - Wannes Meert; Jan Struyf; Hendrik Blockeel (Fundam. Informaticae, 2008)

Decision trees for hierarchical multi-label classification. - Celine Vens; Jan Struyf; Leander Schietgat; Saso Dzeroski; Hendrik Blockeel (Mach. Learn., 2008)

CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods. - Wannes Meert; Jan Struyf; Hendrik Blockeel (ILP, 2009)

First-Order Bayes-Ball for CP-Logic. - Nima Taghipour; Wannes Meert; Jan Struyf; Hendrik Blockeel (MLG/SRL@ILP, 2009)

Constrained Predictive Clustering. - Jan Struyf; Saso Dzeroski (Inductive Databases and Constraint-Based Data Mining, 2010)

Predicting Gene Function using Predictive Clustering Trees. - Celine Vens; Leander Schietgat; Jan Struyf; Hendrik Blockeel; Dragi Kocev; Saso Dzeroski (Inductive Databases and Constraint-Based Data Mining, 2010)

Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method. - Beau Piccart; Jan Struyf; Hendrik Blockeel (SDM, 2010)

Predicting gene function using hierarchical multi-label decision tree ensembles. - Leander Schietgat; Celine Vens; Jan Struyf; Hendrik Blockeel; Dragi Kocev; Saso Dzeroski (BMC Bioinform., 2010)

Relational Learning. - Jan Struyf; Hendrik Blockeel (Encyclopedia of Machine Learning, 2010)

Tree ensembles for predicting structured outputs. - Dragi Kocev; Celine Vens; Jan Struyf; Saso Dzeroski (Pattern Recognit., 2013)

Relational Learning. - Jan Struyf; Hendrik Blockeel (Encyclopedia of Machine Learning and Data Mining, 2017)