Biblio
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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).
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).
Mining User Generated Data for Music Information Retrieval.
( , Ed.).Mining User Generated Content.
(2014).
Music Information Retrieval: Recent Developments and Applications.
Foundations and Trends in Information Retrieval. 8(2-3), 127-261. Abstract
(2014).
Music Information Retrieval:
Overview, Recent Developments and Future Challenges.
17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. Abstract
(2016).
Music Recommender Systems.
Recommender Systems Handbook. 453-492. Abstract
(2015).
On the Interrelation between Listener Characteristics and the Perception of Emotion in Classical Orchestra Music.
IEEE Transactions on Affective Computing. Abstract
(2017).
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).
User-Aware Music Retrieval.
( , Ed.).Multimodal Music Processing. 3, 135-156.
(2012).