Publications

Found 8 results
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Filters: Author is Hillewaere, R.  [Clear All Filters]
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.
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)
2010
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.. (2010). String quartet classification with monophonic models. Proceedings of ISMIR, Utrecht, the Netherlands.
2009
Taminau, J., Hillewaere, R., Meganck, S., Conklin, D., Nowé, A., & Manderick, B.. (2009). Descriptive Mining of Folk Music: A testcase. In Proceedings of the 21st Benelux Conference on Artificial Intelligence (BNAIC 2009).
Taminau, J., Hillewaere, R., Meganck, S., Conklin, D., Nowé, A., & Manderick, B.. (2009). Descriptive subgroup mining of folk music. Second International Workshop on Machine Learning and Music, 1–6.
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.
Hillewaere, R., Manderick, B., & Conklin, D.. (2009). Melodic models for polyphonic music classification. Second International Workshop on Machine Learning and Music.