119 citations · 295 across the 8 of their papers we have counts for
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astro-ph.IM2021★ 24 cited
J-PLUS: Support Vector Machine Applied to STAR-GALAXY-QSOClassification
Cunshi Wang, Yu Bai, C. López-Sanjuan +19
Context. In modern astronomy, machine learning has proved to be efficient and effective to mine the big data from the newesttelescopes. Spectral surveys enable us to characterize m…
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…