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Mood Classification Using Listening Data., , , , , and . CoRR, (2020)Tracking Melodic Patterns in Flamenco Singing by Analyzing Polyphonic Music Recordings., , , , , , , and . ISMIR, page 421-426. FEUP Edições, (2012)The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale., , , , and . ISMIR, page 360-367. (2019)Extracting Relations from Unstructured Text Sources for Music Recommendation., , and . NLDB, volume 9103 of Lecture Notes in Computer Science, page 369-382. Springer, (2015)Open Knowledge Extraction Challenge 2017, , , , and . Semantic Web Evaluation Challenge, page 35--48. Springer International Publishing, (2017)FlaBase: Towards the Creation of a Flamenco Music Knowledge Base., , , and . ISMIR, page 378-384. (2015)Multimodal Deep Learning for Music Genre Classification., , , and . Trans. Int. Soc. Music. Inf. Retr., 1 (1): 4-21 (2018)Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations., , , and . ComplexRec-ImpactRS@RecSys, volume 2697 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Finding and Expanding Hypernymic Relations in the Music Domain., , , and . CCIA, volume 288 of Frontiers in Artificial Intelligence and Applications, page 291-296. IOS Press, (2016)A Rule-Based Approach to Extracting Relations from Music Tidbits., , and . WWW (Companion Volume), page 661-666. ACM, (2015)