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M.  Grachten and Krebs, F., ?An Assessment of Learned Score Features for Modeling Expressive Dynamics in Music?, {IEEE} Transactions on Multimedia, vol. 16, pp. 1211?1218, 2014.

T.  Collins, Böck, S., Krebs, F., and Widmer, G., ?Bridging the Audio-Symbolic Gap: The Discovery of Repeated Note Content Directly from Polyphonic Music Audio?, in 53rd AES Conference on Semantic Audio, London, UK, 2014.

T.  Vodlan, Tkal?i?, M., and Ko?ir, A., ?The impact of hesitation, a social signal, on a user?s quality of experience in multimedia content retrieval?, Springer Multimedia Tools and Applications, 2014.

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M.  Kaminskas, Ricci, F., and Schedl, M., ?Location-aware Music Recommendation Using Auto-Tagging and Hybrid Matching?, in Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, 2013.

D.  Hauger, Schedl, M., Ko?ir, A., and Tkal?i?, M., ?The Million Musical Tweets Dataset: What Can We Learn From Microblogs?, in Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013), Curitiba, Brazil, 2013.

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F.  Korzeniowski and Widmer, G., ?Refined Spectral Template Models for Score Following?, in Proceedings of the Sound and Music Computing Conference (SMC), Stockholm, Sweden, 2013.

F.  Krebs, Böck, S., and Widmer, G., ?Rhytmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio?, Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013). 2013.

F.  Korzeniowski, Krebs, F., Arzt, A., and Widmer, G., ?Tracking Rests and Tempo Changes: Improved Score Following with Particle Filters?, in Proceedings of the International Computer Music Conference (ICMC), Perth, Australia, 2013.