Publications: Machine learning for Data mining
Alignment methods for folk tune classification. Post-proceedings of The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery. Hildesheim, Germany.. (In Press).
GEVACT : GENOMIC VARIANT CLASSIFIER TOOL. In 10th Benelux Bioinformatics Conference. presented at the 07/2015. doi:10.13140/RG.2.1.5020.0406. (2015).
A Comparative Study between Fully Automated NMF and Supervised MESMA for Mapping Impervious Surfaces. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS). presented at the July/2012.. (2012).
GA(M)E-QSAR: A Novel, fully automatic Genetic-Algorithm-(Meta)-Ensembles approach for binary classification in ligand-based drug design. Journal of chemical information and modeling, 52(9), 2360 - 2386.. (2012).
Batch effect removal methods for microarray gene expression data integration: a survey. Briefings in Bioinformatics.. (2012).
String methods for folk tune genre classification. Proceedings of the 13th International Society for Music Information Retrieval Conference. Porto, Portugal.. (2012).
A survey on filter techniques for feature selection in gene expression microarray analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/22350210. (2012).
Large scale merging of microarrays: from curation to meta-curation. In 19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology (ISMB/ECCB 2011). presented at the 15-19 Jul.. (2011).
inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO. Bioinformatics, 27, 3204-3205.. (2011).
The InSilico Database: An Efficient Starting Point for Genomic Data Analysis. In European Human Genetics Conference. presented at the 12-15 Jun, Gothenburg, Sweden. Retrieved from http://www.abstractsonline.com/Plan/ViewAbstract.aspx?sKey=ff8eaa3a-63bc-4dde-84ac-41eeef20ec3b&cKey=fe409b79-5450-458e-a420-4ee80398d78a&mKey=%7bF69699C9-D7A6-45DA-BFBE-9801595A7F58%7d. (2010).
Applying subgroup discovery for the analysis of string quartet movements. In Proceedings of 3rd international workshop on Machine learning and music (pp. 29–32). Firenze, Italy: ACM.. (2010).
Global feature versus event models for folk song classification. ISMIR 2009: 10th International Society for Music Information Retrieval Conference. Kobe, Japan.. (2009).