696 citations · 7.4k across the 77 of their papers we have counts for
Showing 2019 · astro-ph.GAShow all
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astro-ph.GA2019★ 118 cited
Optimising Automatic Morphological Classification of Galaxies with Machine Learning and Deep Learning using Dark Energy Survey Imaging
Ting-Yun Cheng, Christopher J. Conselice, Alfonso Aragón-Salamanca +13
There are several supervised machine learning methods used for the application of automated morphological classification of galaxies; however, there has not yet been a clear compar…
astro-ph.GA2019★ 29 cited
Spectral Variability of a Sample of Extreme Variability Quasars and Implications for the MgII Broad-line Region
Qian Yang, Yue Shen, Yu-Ching Chen +49
We present new Gemini/GMOS optical spectroscopy of 16 extreme variability quasars (EVQs) that dimmed by more than 1.5 mag in the band between the Sloan Digital Sky Survey (SDSS…