Biblio
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Mining User Generated Data for Music Information Retrieval.
( , Ed.).Mining User Generated Content.
(2014).
Music Recommender Systems.
Recommender Systems Handbook. 453-492. Abstract
(2015).
User-Aware Music Retrieval.
( , Ed.).Multimodal Music Processing. 3, 135-156.
(2012).
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
(2016).
Music Information Retrieval:
Overview, Recent Developments and Future Challenges.
17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. Abstract
(2016).
A personality-based adaptive system for visualizing classical music performances.
7th International Conference on Multimedia Systems (MMSys'16). Abstract
(2016).
PHENICX: Performances as Highly Enriched aNd Interactive Concert Experiences.
SMAC Stockholm Music Acoustics Conference 2013, SMC Sound and Music Computing Conference 2013.
(2013).
Evaluation in Music Information Retrieval.
Journal of Intelligent Information Systems. 41, 345-369. Abstract
(2013).
Introduction to Intelligent Music Systems and Applications.
ACM Transactions on Intelligent Systems and Applications. 8(2), 17:1-17:8.
(2016).
Music Information Retrieval: Recent Developments and Applications.
Foundations and Trends in Information Retrieval. 8(2-3), 127-261. Abstract
(2014).
On the Interrelation between Listener Characteristics and the Perception of Emotion in Classical Orchestra Music.
IEEE Transactions on Affective Computing. Abstract
(2017).