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Galaxy Zoo 2: detailed morphological classifications for 304,122 galaxies from the Sloan Digital Sky Survey, , , , , , , , , and 8 other author(s). (2013)Predicting pregnancy using large-scale data from a women's health tracking mobile application., , , , , , and . CoRR, (2018)SDSS-IV MaNGA: variation of the stellar initial mass function in spiral and early-type galaxies, , , , , , , , , and 3 other author(s). (2017)cite arxiv:1703.04894Comment: Accepted for publication in ApJ. 9 pages, 9 figures.Predicting pregnancy using large-scale datafrom a women's health tracking mobile application., , , , , , and . WWW, page 2999-3005. ACM, (2019)The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological implications of the full shape of the clustering wedges in the data release 10 and 11 galaxy samples, , , , , , , , , and 18 other author(s). (2013)cite arxiv:1312.4854Comment: 24 pages, 14 figures. Submitted to MNRAS. Measurements and covariance matrices are available at https://sdss3.org/science/boss_publications.php.Panel: (When) Will FPGAs Kill ASICs?, , , , , , and . DAC, page 321-322. ACM, (2001)A 9 μ A, Addressable Gen2 Sensor Tag for Biosignal Acquisition., , , , , and . IEEE J. Solid State Circuits, 45 (10): 2198-2209 (2010)Galaxy Zoo: Reproducing Galaxy Morphologies via Machine Learning, , , , , , , , , and 3 other author(s). Monthly Notices of the Royal Astronomical Society, 406 (1): 342--353 (2010)Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey, , , , , , , , , and 2 other author(s). Monthly Notices of the Royal Astronomical Society, 389 (3): 1179--1189 (2008)SDSS-IV MaNGA: A serendipitous observation of a potential gas accretion event, , , , , , , , , and 17 other author(s). (2016)cite arxiv:1609.02155Comment: Re-submitted to ApJ after addressing referee report; 11 pages, 6 figures.