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On Building Scientific Workflow Systems for Data Management in the Cloud

, , , , and . IEEE International Conference on eScience (eScience), page 434--435. IEEE, (December 2008)Poster CORE A.
DOI: 10.1109/eScience.2008.150

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Reliable Management of Community Data Pipelines using Scientific Workflows, , , , and . MSR-TR-2009-125. Microsoft Research, (September 2009)Data-intensive discoveries in science: the fourth paradigm.. DICT@HPDC, page 1-2. ACM, (2012)Migrating a multiterabyte archive from object to relational databases., , , and . Comput. Sci. Eng., 5 (5): 16-29 (2003)Baryon acoustic oscillations reconstruction using convolutional neural networks., , , , , , and . CoRR, (2020)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)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)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..