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Novelty-based cognitive processes in unstructured music-making settings in early childhood.

, , и . ICDL-EPIROB, стр. 218-223. IEEE, (2018)

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Music Information Technology and Professional Stakeholder Audiences: Mind the Adoption Gap., , , , , , , и . Multimodal Music Processing, том 3 из Dagstuhl Follow-Ups, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, (2012)Novelty-based cognitive processes in unstructured music-making settings in early childhood., , и . ICDL-EPIROB, стр. 218-223. IEEE, (2018)One deep music representation to rule them all? A comparative analysis of different representation learning strategies., , , и . Neural Comput. Appl., 32 (4): 1067-1093 (2020)Hidden Author Bias in Book Recommendation., , , , и . CoRR, (2022)From Water Music to 'Underwater Music': Multimedia Soundtrack Retrieval with Social Mass Media Resources.. TPDL, том 9819 из Lecture Notes in Computer Science, стр. 227-238. Springer, (2016)Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks., , , , и . ISMIR, стр. 861-868. (2020)Detecting Drops in Electronic Dance Music: Content based approaches to a socially significant music event., , , и . ISMIR, стр. 143-148. (2014)Microtask Crowdsourcing for Music Score Transcriptions: An Experiment with Error Detection., , , , , и . ISMIR, стр. 901-907. (2020)TUD-MMC at MediaEval 2016: Predicting Media Interestingness Task.. MediaEval, том 1739 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Spotivibes: Tagging Playlist Vibes with Colors., , , , , , , и . IntRS@RecSys, том 2450 из CEUR Workshop Proceedings, стр. 55-59. CEUR-WS.org, (2019)