- Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm(2023)
Auteurs: Leander Schietgat
- Beyond global and local multi-target learning(2021)
Auteurs: Leander Schietgat, Celine Vens
Pagina's: 508 - 524
- A machine learning based framework to identify and classify long terminal repeat retrotransposons(2018)
Auteurs: Leander Schietgat, Celine Vens, Jan Ramon, Hendrik Blockeel
- Predicting human olfactory perception from chemical features of odor molecules(2017)
Auteurs: Celine Vens, Leander Schietgat, Kurt De Grave
Pagina's: 820 - 826
- Predicting protein function and protein-ligand interaction with the 3D neighborhood kernel(2015)
Auteurs: Leander Schietgat, Thomas Fannes, Jan Ramon
Pagina's: 221 - 235
- Learning HMMs for nucleotide sequences from amino acid alignments(2015)
Auteurs: Carlos Fischer, Claudia Carareto, Renato dos Santos, Ricardo Cerri, Eduardo Costa, Leander Schietgat, Celine Vens
Pagina's: 1836 - 1838
- Learning HMMs for nucleotide sequences from amino acid alignments(2015)
Auteurs: Leander Schietgat, Celine Vens
Pagina's: 1836 - 1838
- A polynomial-time maximum common subgraph algorithm for outerplanar graphs and its application to chemoinformatics(2013)
Auteurs: Leander Schietgat, Jan Ramon, Maurice Bruynooghe
Pagina's: 343 - 376
- Annotating transposable elements in the genome using relational decision tree ensembles(2013)
Auteurs: Eduardo De Paula Costa, Leander Schietgat, Celine Vens, Jan Ramon, Hendrik Blockeel
Pagina's: 1 - 6
- Predicting Tryptic Cleavage from Proteomics Data Using Decision Tree Ensembles(2013)
Auteurs: Thomas Fannes, Elien Vandermarliere, Leander Schietgat, Jan Ramon
Pagina's: 2253 - 2259