Leander Schietgat

According to our database, Leander Schietgat authored at least 14 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Beyond global and local multi-target learning.

Márcio P. Basgalupp, Ricardo Cerri, Leander Schietgat, Isaac Triguero, Celine Vens

Inf. Sci., 2021

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

2018

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

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

Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel.

Leander Schietgat, Thomas Fannes, Jan Ramon

Proceedings of the Discovery Science - 18th International Conference, 2015

2013

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

2011

Effective feature construction by maximum common subgraph sampling.

Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt

Mach. Learn., 2011

Graph-based data mining for biological applications.

Leander Schietgat

AI Commun., 2011

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

Predicting Gene Function using Predictive Clustering Trees.

Celine Vens, Leander Schietgat, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Saso Dzeroski

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

2008

Decision trees for hierarchical multi-label classification.

Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel

Mach. Learn., 2008

An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules.

Leander Schietgat, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

A Polynomial-time Metric for Outerplanar Graphs.

Leander Schietgat, Jan Ramon, Maurice Bruynooghe

Proceedings of the Mining and Learning with Graphs, 2007

2006

Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics.

Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006