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Rubin-Euclid Derived Data Products: Initial Recommendations, , , , , , , , , и 110 other автор(ы). (2022)cite arxiv:2201.03862Comment: Report of the Rubin-Euclid Derived Data Products Working Group, 78 pages, 11 figures.A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest., , , , , , , , , и 63 other автор(ы). CoRR, (2020)VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning, , , , , , , , , и 49 other автор(ы). (2016)cite arxiv:1607.01391Comment: 11 pages, 7 figures, 7 tables, MNRAS submitted.Constraints on Decaying Dark Matter with DES-Y1 and external data, , , , , , , , , и 75 other автор(ы). (2020)cite arxiv:2011.04606Comment: 23 pages, 11 figures. DES extensions group.Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe, , , , , , , , , и 67 other автор(ы). (2020)cite arxiv:2007.15026Comment: 24 pages, 18 figures, 2 tables. submitted to MNRAS. A brief video summary of this paper is available at https://www.youtube.com/watch?v=QbeNwk5papU.Photometric Redshifts for Next-Generation Surveys, и . (2022)cite arxiv:2206.13633Comment: Posted with permission from the Annual Review of Astronomy and Astrophysics, Volume 60, copyright 2022 Annual Reviews, http://www.annualreviews.org/.Discovery of a Candidate Binary Supermassive Black Hole in a Periodic Quasar from Circumbinary Accretion Variability, , , , , , , , , и 61 other автор(ы). (2020)cite arxiv:2008.12317Comment: resubmitted to MNRAS after addressing referee reports; comments are welcome.Diverse Strategies for Interruption Management in Complex Office Activities, , и . 04-08. IBM Watson Research Center, (2004)Extreme variability quasars from the Sloan Digital Sky Survey and the Dark Energy Survey, , , , , , , , , и 42 other автор(ы). (2017)cite arxiv:1706.07875Comment: submitted to ApJ; comments welcome.Collaborative Reasoning and Collaborative Ontology Development in CRAFT., , , , и . AAAI Spring Symposium: Symbiotic Relationships between Semantic Web and Knowledge Engineering, стр. 51-58. AAAI, (2008)