92 citations · 2k across the 107 of their papers we have counts for
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astro-ph.IM2020★ 55 cited
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui, V. Marra, L. Casarini +31
Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…
astro-ph.GA2020★ 50 cited
One hundred SMUDGes in S-PLUS: ultra-diffuse galaxies flourish in the field
C. E. Barbosa, D. Zaritsky, R. Donnerstein +19
We present the first systematic study of the stellar populations of ultra-diffuse galaxies (UDGs) in the field, integrating the large area search and characterization of UDGs by th…