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Extreme variability quasars from the Sloan Digital Sky Survey and the Dark Energy Survey, , , , , , , , , and 42 other author(s). (2017)cite arxiv:1706.07875Comment: submitted to ApJ; comments welcome.VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning, , , , , , , , , and 49 other author(s). (2016)cite arxiv:1607.01391Comment: 11 pages, 7 figures, 7 tables, MNRAS submitted.Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe, , , , , , , , , and 67 other author(s). (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.DES science portal: Creating science-ready catalogs., , , , , , , , , and 48 other author(s). Astron. Comput., (2018)Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs., , , , , , , , , and 74 other author(s). Astron. Comput., (2020)DES science portal: Computing photometric redshifts., , , , , , , , , and 60 other author(s). Astron. Comput., (2018)Discovery of a Candidate Binary Supermassive Black Hole in a Periodic Quasar from Circumbinary Accretion Variability, , , , , , , , , and 61 other author(s). (2020)cite arxiv:2008.12317Comment: resubmitted to MNRAS after addressing referee reports; comments are welcome.The Seventh Data Release of the Sloan Digital Sky Survey, , , , , , , , , and 194 other author(s). The Astrophysical Journal Supplement Series, 182 (2): 543 (2009)A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest., , , , , , , , , and 63 other author(s). CoRR, (2020)The Harmonize Project And The EODCtHRS Architecture: An Earth Observation Data Cube Tuned For Health Response Systems., , , , , , , , , and 13 other author(s). GEOINFO, page 122-133. MCTI/INPE, (2023)