123 citations · 355 across the 9 of their papers we have counts for
Showing 2012 · astro-ph.IMShow all
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astro-ph.IM2012★ 123 cited
Using Machine Learning for Discovery in Synoptic Survey Imaging
Henrik Brink, Joseph W. Richards, Dovi Poznanski +4
Modern time-domain surveys continuously monitor large swaths of the sky to look for astronomical variability. Astrophysical discovery in such data sets is complicated by the fact t…
astro-ph.IM2012★ 16 cited
Optimizing Automated Classification of Periodic Variable Stars in New Synoptic Surveys
James P. Long, Noureddine El Karoui, John A. Rice +2
Efficient and automated classification of periodic variable stars is becoming increasingly important as the scale of astronomical surveys grows. Several recent papers have used met…