Publications: Machine learning for Data mining

In Press

Hillewaere, R., Manderick, B., & Conklin, D.. (In Press). 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.


Grau, I., Daneels, D., Farid, D. Md., Croes, D., Bonduelle, M., Van Dooren, S., et al.. (2015). GEVACT : GENOMIC VARIANT CLASSIFIER TOOL. In 10th Benelux Bioinformatics Conference. presented at the 07/2015. doi:10.13140/RG.2.1.5020.0406
PDF icon BBC2015_GeVaCT.pdf (1.13 MB)


Demarchi, L., Lazar, C., Steenhoff, D., Chan, J. C. - W., Canters, F., Sahli, H., & Nowé, A.. (2012). 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.
Hillewaere, R., Manderick, B., & Conklin, D.. (2012). String methods for folk tune genre classification. Proceedings of the 13th International Society for Music Information Retrieval Conference. Porto, Portugal.
PDF icon string-methods.pdf (79.76 KB)


Steenhoff, D., Coletta, A., Taminau, J., de Schaetzen, V., Lazar, C., Meganck, S., et al.. (2011). 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.


Taminau, J., Hillewaere, R., Meganck, S., Conklin, D., Nowé, A., & Manderick, B.. (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.


Hillewaere, R., Manderick, B., & Conklin, D.. (2009). Global feature versus event models for folk song classification. ISMIR 2009: 10th International Society for Music Information Retrieval Conference. Kobe, Japan.