E-LIB Suche - Ergebnisse für: Schietgat, Leander

1

Automated detection of toxicophores and prediction of mutag..:

Schietgat, Leander ; Cuissart, Bertrand ; De Grave, Kurt...
Molecular Informatics. 42 (2023) 3 - p. , 2023

Link: https://doi.org/10.1002/..

2

A Q-Learning algorithm for flexible job shop scheduling in ..:

Palacio, Jessica Coto ; Jiménez, Yailen Martínez ; Schietgat, Leander..
Procedia CIRP. 106 (2022) - p. 227-232 , 2022

Link: https://doi.org/10.1016/..

3

Beyond global and local multi-target learning:

Basgalupp, Márcio ; Cerri, Ricardo ; Schietgat, Leander..
Information Sciences. 579 (2021) - p. 508-524 , 2021

Link: https://doi.org/10.1016/..

4

On the complexity of haplotyping a microbial community:

Nicholls, Samuel M ; Aubrey, Wayne ; De Grave, Kurt...
Bioinformatics. 37 (2021) 10 - p. 1360-1366 , 2021

Link: https://doi.org/10.1093/..

5

A machine learning based framework to identify and classify..:

Schietgat, Leander ; Vens, Celine ; Cerri, Ricardo...
PLOS Computational Biology. 14 (2018) 4 - p. e1006097 , 2018

Link: https://doi.org/10.1371/..

6

Predicting human olfactory perception from chemical feature..:

Keller, Andreas ; Gerkin, Richard C. ; Guan, Yuanfang...
Science. 355 (2017) 6327 - p. 820-826 , 2017

Link: https://doi.org/10.1126/..

7

Predicting human olfactory perception from chemical feature..:

Keller, Andreas ; Gerkin, Richard C. ; Guan, Yuanfang...
Science. 355 (2017) 6327 - p. 820-826 , 2017

Link: https://www.jstor.org/st..

8

Learning HMMs for nucleotide sequences from amino acid alig..:

Fischer, Carlos N. ; Carareto, Claudia M. A. ; dos Santos, Renato A. C....
Bioinformatics. 31 (2015) 11 - p. 1836-1838 , 2015

Link: https://doi.org/10.1093/..

9

Predicting Tryptic Cleavage from Proteomics Data Using Deci..:

Fannes, Thomas ; Vandermarliere, Elien ; Schietgat, Leander...
Journal of Proteome Research. 12 (2013) 5 - p. 2253-2259 , 2013

Link: https://doi.org/10.1021/..

10

A polynomial-time maximum common subgraph algorithm for out..:

Schietgat, Leander ; Ramon, Jan ; Bruynooghe, Maurice
Annals of Mathematics and Artificial Intelligence. 69 (2013) 4 - p. 343-376 , 2013

Link: https://doi.org/10.1007/..

11

Predicting gene function using hierarchical multi-label dec..:

Schietgat, Leander ; Vens, Celine ; Struyf, Jan...
BMC Bioinformatics. 11 (2010) 1 - p. , 2010

Link: https://doi.org/10.1186/..

12

Effective feature construction by maximum common subgraph s..:

Schietgat, Leander ; Costa, Fabrizio ; Ramon, Jan.
Machine Learning. 83 (2010) 2 - p. 137-161 , 2010

Link: https://doi.org/10.1007/..

13

Decision trees for hierarchical multi-label classification:

Vens, Celine ; Struyf, Jan ; Schietgat, Leander..
Machine Learning. 73 (2008) 2 - p. 185-214 , 2008

Link: https://doi.org/10.1007/..

14

Beyond global and local multi-target learning:

Basgalupp, Márcio ; Cerri, Ricardo ; Schietgat, Leander..
https://nottingham-repository.worktribe.com/output/6140075. , 2021

Link: https://doi.org/10.1016/..

15

On the complexity of haplotyping a microbial community:

Nicholls, Samuel M ; Aubrey, Wayne ; De Grave, Kurt...
Nicholls , S M , Aubrey , W , De Grave , K , Schietgat , L , Creevey , C J & Clare , A 2021 , ' On the complexity of haplotyping a microbial community ' , Bioinformatics , vol. 37 , no. 10 , pp. 1360-1366 . https://doi.org/10.1093/bioinformatics/btaa977. , 2021

Link: https://pure.qub.ac.uk/e..