Biblio

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Gómez, E., Schedl M., Serra X., & Hu X. (2016).  Music Information Retrieval:
 Overview, Recent Developments and Future Challenges. 17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. Abstract
Gómez, E., Grachten M., Hanjalic A., Janer J., Jordà S., Julià C. F., et al. (2013).  PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences. SMAC Stockholm Music Acoustics Conference 2013, SMC Sound and Music Computing Conference 2013.
application/pdf iconPHENICX-smac2013-6.0.pdf
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Schedl, M., Stober S., Gómez E., Orio N., & Liem C. C. S. (2012).  User-Aware Music Retrieval. (Müller, M., Goto, M., Markus Schedl, Ed.).Multimodal Music Processing. 3, 135-156.
Schedl, M., Gómez E., Trent E., Tkalcic M., Zadeh H. E., & Martorell A. (2017).  On the Interrelation between Listener Characteristics and the Perception of Emotion in Classical Orchestra Music. IEEE Transactions on Affective Computing. Abstract
Schedl, M., Eghbal-Zadeh H., Gómez E., & Tkalcic M. (2016).  An analysis of agreement in classical music perception and its relationship to listener characteristics. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). 578-583. Abstract
Schedl, M., Gómez E., & Urbano J. (2014).  Music Information Retrieval: Recent Developments and Applications. Foundations and Trends in Information Retrieval. 8(2-3), 127-261. Abstract
application/pdf icon059-music-information-retrieval-recent-developments-applications.pdf
Schedl, M., Knees P., McFee B., Bogdanov D., & Kaminskas M. (2015).  Music Recommender Systems. Recommender Systems Handbook. 453-492. Abstract
Schedl, M., Yang Y., & Herrera P. (2016).  Introduction to Intelligent Music Systems and Applications. ACM Transactions on Intelligent Systems and Applications. 8(2), 17:1-17:8.
Schedl, M., Melenhorst M., Liem C., Martorell A., Mayor O., & Tkalčič M. (2016).  A personality-based adaptive system for visualizing classical music performances. 7th International Conference on Multimedia Systems (MMSys'16). Abstract
application/pdf iconA personality-based adaptive system for visualizing classical music performances
Schedl, M., Sordo M., Koenigstein N., & Weinsberg U. (2014).  Mining User Generated Data for Music Information Retrieval. (Moens, Marie-Francine, Li, Juanzi, Chua, Tat-Seng, Ed.).Mining User Generated Content.
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Urbano, J., Schedl M., & Serra X. (2013).  Evaluation in Music Information Retrieval. Journal of Intelligent Information Systems. 41, 345-369. Abstract
application/pdf iconUrbano-Schedl-Serra-JIIS-2013.pdf
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