45 citations · 90 across the 12 of their papers we have counts for
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astro-ph.GA2023★ 2 cited
Machine learning-based photometric classification of galaxies, quasars, emission-line galaxies, and stars
Fatemeh Zahra Zeraatgari, Fatemeh Hafezianzade, Yanxia Zhang +4
This paper explores the application of machine learning methods for classifying astronomical sources using photometric data, including normal and emission line galaxies (ELGs; star…
astro-ph.IM2023★ 11 cited
Periodic Variable Star Classification with Deep Learning: Handling Data Imbalance in an Ensemble Augmentation Way
Zihan Kang, Yanxia Zhang, Jingyi Zhang +4
Time-domain astronomy is progressing rapidly with the ongoing and upcoming large-scale photometric sky surveys led by the Vera C. Rubin Observatory project (LSST). Billions of vari…