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Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314, 000 Galaxies., , , , , , , , , and 6 other author(s). CoRR, (2021)Disaster mapping from satellites: damage detection with crowdsourced point labels., , , and . CoRR, (2021)An Over-Massive Black Hole in a Typical Star-Forming Galaxy, 2 Billion Years After the Big Bang, , , , , , , , and . (2015)cite arxiv:1507.02290Comment: Author's version, including the main paper and the Supplementary Materials (16+21 pages, 3+3 figures).Heavily Obscured Quasar Host Galaxies at z~2 are Disks, Not Major Mergers, , , , and . (2012)cite arxiv:1206.4063Comment: 5 pages, 4 figures, 1 table. To appear as a Letter in MNRAS.Galaxy Zoo: the dependence of the star formation-stellar mass relation on spiral disk morphology, , , , , , , , , and 2 other author(s). (2015)cite arxiv:1502.03444Comment: Accepted to MNRAS 11 Feb 2015. 9 pages, 6 figures. Code and data are available at https://github.com/willettk/gzmainsequence.Patterns of Volunteer Behaviour Across Online Citizen Science., , , , , , and . WWW (Companion Volume), page 93-94. ACM, (2018)Practical Galaxy Morphology Tools from Deep Supervised Representation Learning., , , , , , , , , and 2 other author(s). CoRR, (2021)Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey, , , , , , , , , and 8 other author(s). (2013)