Bram Slabbinck
CV
Papers(7) Waegeman, W. ., Verwaeren, J., Slabbinck, B., De Baets, B. (2011) Supervised learning algorithms for multi-class classification problems with partial class memberships. Fuzzy Sets and Systems(6) De Bruyne, K., Slabbinck, B., Waegeman, W. ., Vauterin, P., De Baets, B., Vandamme, P. (2011) Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning. Syst. Appl. Microbiol. 34, 20-29. (5) Slabbinck, B., Waegeman, W. ., Dawyndt, P., De Vos, P., De Baets, B. (2010) From learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification. BMC Bioinformatics 11, 69. (4) Slabbinck, B., De Baets, B., Dawyndt, P., De Vos, P. (2010) Analysis of plant-pathogenic pseudomonas species using intelligent learning methods: a general focus on taxonomy and fatty acid analysis within the genus Pseudomonas. Rev. Mex. Fitopatol. 28, 1-16. (3) Slabbinck, B., De Baets, B., Dawyndt, P., De Vos, P. (2009) Towards large-scale FAME-based bacterial species identification using machine learning techniques. Syst. Appl. Microbiol. 32,163-76. (2) Slabbinck, B., Dawyndt, P., Martens, M., De Vos, P., De Baets, B. (2008) TaxonGap: a visualization tool for intra- and inter-species variation among individual biomarkers. Bioinformatics 24,866-7. (1) Slabbinck, B., De Baets, B., Dawyndt, P., De Vos, P. (2008) Genus-wide Bacillus species identification through proper artificial neural network experiments on fatty acid profiles. Antonie Van Leeuwenhoek 94,187-98. |
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