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Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey

, , , , , , , , , , , and . Monthly Notices of the Royal Astronomical Society, 389 (3): 1179--1189 (2008)
DOI: 10.1111/j.1365-2966.2008.13689.x

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Stargazing through a Digital Veil: Managing a Large Scale Sky Survey using Distributed Databases on HPC Clusters, , , and . Workshop on High-Performance Computing meets Databases (HPCDB), page 33--36. (2011)Galaxy Zoo: Reproducing Galaxy Morphologies Via Machine Learning, , , , , , , , , and 3 other author(s). (2009)cite arxiv:0908.2033Comment: 13 Pages, 5 figures, 10 tables. Accepted for publication in MNRAS. Revised to match accepted version..Keynote speaker: Exascale numerical laboratories.. LDAV, IEEE Computer Society, (2016)Accurately initializing real time clocks to provide synchronized time in sensor networks., , and . ICNC, page 486-490. IEEE Computer Society, (2017)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)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)Playing catch-up in building an open research commons., , , , , , , , , and 5 other author(s). CoRR, (2022)A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation., , , , , , , , , and 2 other author(s). CoRR, (2021)A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation., , , , , , , , , and 2 other author(s). MOVI@MICCAI, volume 13578 of Lecture Notes in Computer Science, page 145-155. Springer, (2022)Reliable Management of Community Data Pipelines using Scientific Workflows, , , , and . MSR-TR-2009-125. Microsoft Research, (September 2009)