Decision trees for hierarchical multi-label classification

Celine Vens, Jan Struyf, Leander Schietgat, +2

Machine Learning

EngineeringInformation RetrievalData ScienceData MiningPattern Recognition +7

Tree ensembles for predicting structured outputs

Dragi Kocev, Celine Vens, Jan Struyf, +1

Pattern Recognition

Natural Language ProcessingEngineeringMachine LearningData ScienceData Mining +6

Predicting gene function using hierarchical multi-label decision tree ensembles

Leander Schietgat, Celine Vens, Jan Struyf, +3

BMC Bioinformatics

Efficient algorithms for decision tree cross-validation

Hendrik Blockeel, Jan Struyf

ArXiv.org

Artificial IntelligenceEngineeringMachine LearningData ScienceData Mining +11

Hierarchical multi-classification

Hendrik Blockeel, Maurice Bruynooghe, Sašo Džeroski, +2

Lirias (KU Leuven)

Query transformations for improving the efficiency of ilp systems

Vı́tor Santos Costa, Ashwin Srinivasan, Rui Camacho, +6

EngineeringBusiness IntelligencePattern DiscoveryPattern MiningText Mining +20

Using multi-objective classification to model communities of soil microarthropods

Damjan Demšar, Sašo Džeroski, Thomas Larsen, +4

Ecological Modelling

BiodiversityBiogeographySoil ClassificationMulti-objective ClassificationSoil Organism

Combining gene expression, demographic and clinical data in modeling disease: a case study of bipolar disorder and schizophrenia

Jan Struyf, Seth Dobrin, David Page

BMC Genomics

Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques

Wannes Meert, Jan Struyf, Hendrik Blockeel

Lirias (KU Leuven)

Change of representation for statistical relational learning

Jesse Davis, Irene M. Ong, Jan Struyf, +3

International Joint Conference on Artificial Intelligence