Jan Struyf

According to our database1, Jan Struyf authored at least 30 papers between 2001 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2017
Relational Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2013
Tree ensembles for predicting structured outputs.
Pattern Recognit., 2013

2010
Relational Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Predicting gene function using hierarchical multi-label decision tree ensembles.
BMC Bioinform., 2010

Alleviating the Sparsity Problem in Collaborative Filtering by Using an Adapted Distance and a Graph-Based Method.
Proceedings of the SIAM International Conference on Data Mining, 2010

Predicting Gene Function using Predictive Clustering Trees.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

Constrained Predictive Clustering.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009

2008
Decision trees for hierarchical multi-label classification.
Mach. Learn., 2008

Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques.
Fundam. Informaticae, 2008

Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees.
Proceedings of the Discovery Science, 11th International Conference, 2008

2007
5th international workshop on knowledge discovery in inductive databases (KDID'06): workshop report.
SIGKDD Explor., 2007

Change of Representation for Statistical Relational Learning.
Proceedings of the IJCAI 2007, 2007

Clustering Trees with Instance Level Constraints.
Proceedings of the Machine Learning: ECML 2007, 2007

Ensembles of Multi-Objective Decision Trees.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Beam Search Induction and Similarity Constraints for Predictive Clustering Trees.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Integrating Decision Tree Learning into Inductive Databases.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Analysis of Time Series Data with Predictive Clustering Trees.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

An Efficient Approximation to Lookahead in Relational Learners.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Learning Predictive Clustering Rules.
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Constraint Based Induction of Multi-objective Regression Trees.
Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics.
Proceedings of the Progress in Artificial Intelligence, 2005

2004
Compact Representation of Knowledge Bases in Inductive Logic Programming.
Mach. Learn., 2004

2003
Query Transformations for Improving the Efficiency of ILP Systems.
J. Mach. Learn. Res., 2003

Query Optimization in Inductive Logic Programming by Reordering Literals.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

2002
Efficient Algorithms for Decision Tree Cross-validation.
J. Mach. Learn. Res., 2002

Deriving biased classifiers for better ROC performance.
Informatica (Slovenia), 2002

Compact Representation of Knowledge Bases in ILP.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2001
Efficient Cross-Validation in ILP.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001


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