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

A Polynomial-time Metric for Outerplanar Graphs. - Leander Schietgat; Jan Ramon; Maurice Bruynooghe (MLG, 2007)

An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules. - Leander Schietgat; Jan Ramon; Maurice Bruynooghe; Hendrik Blockeel (Discovery Science, 2008)

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

Maximum Common Subgraph Mining: A Fast and Effective Approach towards Feature Generation. - Leander Schietgat; Fabrizio Costa; Jan Ramon; Luc De Raedt (MLG/SRL@ILP, 2009)

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)

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)

Graph-based data mining for biological applications. - Leander Schietgat (AI Commun., 2011)

Effective feature construction by maximum common subgraph sampling. - Leander Schietgat; Fabrizio Costa; Jan Ramon; Luc De Raedt (Mach. Learn., 2011)

A polynomial-time maximum common subgraph algorithm for outerplanar graphs and its application to chemoinformatics. - Leander Schietgat; Jan Ramon; Maurice Bruynooghe (Ann. Math. Artif. Intell., 2013)

Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel. - Leander Schietgat; Thomas Fannes; Jan Ramon (Discovery Science, 2015)

Learning HMMs for nucleotide sequences from amino acid alignments. - Carlos N. Fischer; Claudia M. A. Carareto; Renato Augusto Corrêa dos Santos; Ricardo Cerri; Eduardo P. Costa; Leander Schietgat; Celine Vens (Bioinform., 2015)

A machine learning based framework to identify and classify long terminal repeat retrotransposons. - Leander Schietgat; Celine Vens; Ricardo Cerri; Carlos N. Fischer; Eduardo P. Costa; Jan Ramon; Claudia M. A. Carareto; Hendrik Blockeel (PLoS Comput. Biol., 2018)

On the complexity of haplotyping a microbial community. - Samuel M. Nicholls; Wayne Aubrey; Kurt De Grave; Leander Schietgat; Christopher J. Creevey; Amanda Clare (Bioinform., 2021)

Beyond global and local multi-target learning. - Márcio P. Basgalupp; Ricardo Cerri; Leander Schietgat; Isaac Triguero; Celine Vens (Inf. Sci., 2021)