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20112021
most citedActive Learning to Overcome Sample Selection Bias: Application to Photometric Variable Star Classification

65 citations · 123 across the 9 of their papers we have counts for

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astro-ph.SR2019★ 23 cited

Identification of RR Lyrae stars in multiband, sparsely-sampled data from the Dark Energy Survey using template fitting and Random Forest classification

K. M. Stringer, J. P. Long, L. M. Macri +75

Many studies have shown that RR Lyrae variable stars (RRL) are powerful stellar tracers of Galactic halo structure and satellite galaxies. The Dark Energy Survey (DES), with its de…