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Constraints on Decaying Dark Matter with DES-Y1 and external data, , , , , , , , , and 75 other author(s). (2020)cite arxiv:2011.04606Comment: 23 pages, 11 figures. DES extensions group.A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest., , , , , , , , , and 63 other author(s). CoRR, (2020)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.Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects., , , , , , , , , and 49 other author(s). CoRR, (2020)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: Creating science-ready catalogs., , , , , , , , , and 48 other author(s). Astron. Comput., (2018)DES science portal: Computing photometric redshifts., , , , , , , , , and 60 other author(s). Astron. Comput., (2018)Modelling Spatially and Temporally Distributed Phenomena: New Methods and Tools for GRASS GIS., , , , , and . Int. J. Geogr. Inf. Sci., 9 (4): 433-446 (1995)