Federating heterogeneous datasets to enhance data sharing and experiment reproducibility
Author(s) -
J.C. Prieto,
B. Paniagua,
M.S. Yatabe,
A.C.O. Ruellas,
L. Fattori,
L. Muniz,
Martin Styner,
L. Cevidanes
Publication year - 2017
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/fvn3-vt08
Subject(s) - reproducibility , computer science , data sharing , data science , data mining , statistics , medicine , mathematics , alternative medicine , pathology
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