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Galaxy Zoo: Reproducing Galaxy Morphologies via Machine Learning

, , , , , , , , , , , , и . Monthly Notices of the Royal Astronomical Society, 406 (1): 342--353 (2010)

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Galaxy Zoo: Reproducing Galaxy Morphologies via Machine Learning, , , , , , , , , и 3 other автор(ы). 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, , , , , , , , , и 2 other автор(ы). Monthly Notices of the Royal Astronomical Society, 389 (3): 1179--1189 (2008)Playing catch-up in building an open research commons., , , , , , , , , и 5 other автор(ы). CoRR, (2022)A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation., , , , , , , , , и 2 other автор(ы). MOVI@MICCAI, том 13578 из Lecture Notes in Computer Science, стр. 145-155. Springer, (2022)Building the Trident Scientific Workflow Workbench for Data Management in the Cloud, , , , и . Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP), стр. 41--50. IEEE, (октября 2009)Galaxy Zoo 1: Data Release of Morphological Classifications for nearly 900,000 galaxies, , , , , , , , , и 4 other автор(ы). (19.07.2010)Robust time synchronization in wireless sensor networks using real time clock., , , , и . SenSys, стр. 356-357. ACM, (2014)Digital Data Preservation and Curation: A Collaboration Among Libraries, Publishers, and the Virtual Observatory - A pilot project aimed at preserving, curating, and enabling access to digital data and associated electronic journals content.., , , , , , , , и . iPRES, (2006)Reliable Management of Community Data Pipelines using Scientific Workflows, , , , и . MSR-TR-2009-125. Microsoft Research, (сентября 2009)Data-intensive discoveries in science: the fourth paradigm.. DICT@HPDC, стр. 1-2. ACM, (2012)