Publications

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A. Sarasua, “Context-Aware Gesture Recognition in Classical Music Conducting”, in ACM Multimedia, Barcelona, 2013. acmm_sarasua.pdf (705.73 KB)
Á. Sarasúa and Guaus, E., “Dynamics in Music Conducting: A Computational Comparative Study Among Subjects”, in Proceedings of the International Conference on New Interfaces for Musical Expression, London, United Kingdom, 2014. 464_paper.pdf (1.33 MB)
A. Sarasua, Caramiaux, B., and Tanaka, A., “Machine Learning of Personal Gesture Variation in Music Conducting”, CHI - Human Factors in Computing Systems. ACM Press, San Jose, CA, pp. 3428-3432, 2016.
A. Sarasua and Guaus, E., “Beat Tracking from Conducting Gestural Data: A Multi-Subject Study”, in Proceedings of the 2014 International Workshop on Movement and Computing, Paris, France, 2014. moco-ready.pdf (697.19 KB)
C. Schabetsberger and Schedl, M., “Personalized Music Recommendation in a Mobile Environment”, in Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2013), Vienna, Austria, 2013.
M. Schedl, Vall, A., and Farrahi, K., “User Geospatial Context for Music Recommendation in Microblogs”, in Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Gold Coast, Australia, 2014. sp136-schedl.pdf (116.59 KB)
M. Schedl and Tkalčič, M., “Genre-based Analysis of Social Media Data on Music Listening Behavior”, in Proceedings of the 1st ACM International Workshop on Internet-Scale Multimedia Management (ISMM 2014), Orlando, FL, USA, 2014. wismm01-schedl.pdf (378.16 KB)
M. Schedl, “Listener-aware Music Search and Recommendation”, in Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015), Porto, Portugal, 2015.
M. Schedl, Knees, P., and Shen, J., “SoMeRA 2014: Social Media Retrieval and Analysis Workshop”, in Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Gold Coast, Australia, 2014. wk6some-schedl.pdf (29.43 KB)
M. Schedl, Eghbal-zadeh, H., Gómez, E., and Tkalčič, M., “An Analysis of Agreement in Classical Music Perception and Its Relationship to Listener Characteristics”, Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016). New York, USA, 2016. eroica-study_ismir_2016.pdf (125.97 KB)
M. Schedl, “Listener-aware Music Recommendation from Sensor and Social Media Data”, in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, 2015. schedl_ecmlpkdd_2015.pdf (143.61 KB)
M. Schedl, “Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation”, in Proceedings of the 11th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2013), Vienna, Austria, 2013.
M. Schedl, “Social Media and Classical Music? – A first analysis within the PHENICX project: “Performances as Highly Enriched aNd Interactive Concert eXperiences””, in SoMeRA'14: Proceedings of the First International Workshop on Social Media Retrieval and Analysis, Gold Coast, Australia, 2014. somera_phenicx_2014.pdf (150.36 KB)
M. Schedl and Schnitzer, D., “Hybrid Retrieval Approaches to Geospatial Music Recommendation”, in Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Dublin, Ireland, 2013. sigir2013.pdf (311.65 KB)
M. Schedl, “Towards Personalizing Classical Music Recommendations”, in SoMeRA 2015: Proceedings of the Second International Workshop on Social Media Retrieval and Analysis, Atlantic City, USA, 2015. schedl_somera_2015.pdf (151.98 KB)
M. Schedl and Schnitzer, D., “Location-Aware Music Artist Recommendation”, in Proceedings of the 20th International Conference on MultiMedia Modeling (MMM 2014), Dublin, Ireland, 2014.
M. Schedl, Gómez, E., and Urbano, J., “Music Information Retrieval: Recent Developments and Applications”, {Foundations and Trends in Information Retrieval}, vol. 8, pp. 127–261, 2014. article_mir_online.pdf (6.4 MB)
M. Schedl, Melenhorst, M., Liem, C. C. S., Martorell, A., Mayor, Ó., and Tkalčič, M., “A Personality-based Adaptive System for Visualizing Classical Music Performances”, in Proceedings of the 7th ACM Multimedia Systems Conference (MMSys), Klagenfurt, Austria, 2016.
M. Schedl, Breitschopf, G., and Ionescu, B., “Mobile Music Genius: Reggae at the Beach, Metal on a Friday Night?”, in Proceedings of the 2014 ACM International Conference on Multimedia Retrieval (ICMR), Glasgow, UK, 2014. 213-Schedl.pdf (485.98 KB)
M. Schedl, Flexer, A., and Urbano, J., “The Neglected User in Music Information Retrieval Research”, Journal of Intelligent Information Systems, vol. 41, pp. 523–539, 2013.
M. Schedl, Hauger, D., Farrahi, K., and Tkalčič, M., “On the Influence of User Characteristics on Music Recommendation”, in Proceedings of the 37th European Conference on Information Retrieval (ECIR 2015), Vienna, Austria, 2015. ecir_2015_final.pdf (259.24 KB)
M. Schedl and Hauger, D., “Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty”, in Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Santiago, Chile, 2015. schedl_sigir_2015.pdf (256.16 KB)
M. Schedl, Gómez, E., and Goto, M., “Multimedia Information Retrieval: Music and Audio”, in Proceedings of the 21st ACM International Conference on Multimedia, Barcelona, Spain, 2013.
J. Schlüter and Böck, S., “Musical Onset Detection with Convolutional Neural Networks”, in Proceedings of the 6th International Workshop on Machine Learning and Music, Prague, Czech Republic, 2013. Schlueter_MML13.pdf (321.21 KB)
J. Schlüter and Böck, S., “Improved musical onset detection with convolutional neural networks”, Proceedings of the 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014). 2014.