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Treat societally impactful scientific insights as open-source software artifacts.

, и . ICSE (SEIS), стр. 150-156. IEEE, (2023)

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Andrew M Gaskievicz

Yolanda Demetriou

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Demetrios Demetriou

 

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Treat societally impactful scientific insights as open-source software artifacts., и . ICSE (SEIS), стр. 150-156. IEEE, (2023)Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?, , и . Perspectives@RecSys, том 3476 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Go with the Flow: When Listeners Use Music as Technology., , и . ISMIR, стр. 292-298. (2016)An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music., , , , , , , , , и 2 other автор(ы). IEEE Signal Process. Mag., 36 (1): 82-94 (2019)Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference., , , и . UMAP, стр. 285-293. ACM, (2019)Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks., , , , и . ISMIR, стр. 861-868. (2020)Algorithms Aside: Recommendation As The Lens Of Life., , , , , , , , , и 10 other автор(ы). RecSys, стр. 215-219. ACM, (2016)Vocals in Music Matter: the Relevance of Vocals in the Minds of Listeners., , , и . ISMIR, стр. 514-520. (2018)