Biblio

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Conference Paper
Sarasúa, Á., & Guaus E. (2014).  Beat Tracking from Conducting Gestural Data: A Multi-Subject Study. Proceedings of the 2014 International Workshop on Movement and Computing. 118–123. Abstract
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Sarasúa, Á., Melenhorst M., Julià C. F., & Gómez E. (2016).  Becoming the Maestro - A Game to Enhance Curiosity for Classical Music. 2016 8th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES). 1-4.
Sarasúa, Á., & Guaus E. (2014).  Dynamics in Music Conducting: A Computational Comparative Study Among Subjects. (Caramiaux, Baptiste, Tahiroglu, Koray, Fiebrink, Rebecca, Tanaka, Atau, Ed.).International Conference on New Interfaces for Musical Expression. 195–200. Abstract
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Weigl, D. M., Goebl W., Crawford T., Gkiokas A., Gutierrez N. F., Porter A., et al. (2019).  Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment. 6th International Conference on Digital Libraries for Musicology. Abstract
Sarasúa, Á., Caramiaux B., & Tanaka A. (2016).  Machine Learning of Personal Gesture Variation in Music Conducting. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 3428–3432.
Sarasúa, Á., Laurier C., & Herrera P. (2012).  Support Vector Machine Active Learning for Music Mood Tagging. 9th International Symposium on Computer Music Modeling and Retrieval (CMMR).
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Master Thesis
Sarasúa, Á. (2011).  Active Learning for User-Tailored Refined Music Mood Detection. Abstract
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PhD Thesis
Sarasúa, Á. (2017).  Musical Interaction Based on the Conductor Metaphor. Department of Information and Communication Technologies. Abstract
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