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Detecting Socially Significant Music Events Using Temporally Noisy Labels.

, , , and . IEEE Trans. Multim., 20 (9): 2526-2540 (2018)

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One deep music representation to rule them all? A comparative analysis of different representation learning strategies., , , and . Neural Comput. Appl., 32 (4): 1067-1093 (2020)Music in newspapers: interdisciplinary opportunities and data-related challenges.. DLfm, page 47-51. ACM, (2018)A dataset of multimedia material about classical music: PHENICX-SMM., , , , and . CBMI, page 1-4. IEEE, (2016)Novelty-based cognitive processes in unstructured music-making settings in early childhood., , and . ICDL-EPIROB, page 218-223. IEEE, (2018)Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks., , , , and . ISMIR, page 861-868. (2020)Microtask Crowdsourcing for Music Score Transcriptions: An Experiment with Error Detection., , , , , and . ISMIR, page 901-907. (2020)Detecting Drops in Electronic Dance Music: Content based approaches to a socially significant music event., , , and . ISMIR, page 143-148. (2014)TUD-MMC at MediaEval 2016: Predicting Media Interestingness Task.. MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Spotivibes: Tagging Playlist Vibes with Colors., , , , , , , and . IntRS@RecSys, volume 2450 of CEUR Workshop Proceedings, page 55-59. CEUR-WS.org, (2019)A professionally annotated and enriched multimodal data set on popular music., , , and . MMSys, page 78-83. ACM, (2013)