27 citations · 61 across the 10 of their papers we have counts for
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astro-ph.IM2019★ 27 cited
Quasar microlensing light curve analysis using deep machine learning
Georgios Vernardos, Grigorios Tsagkatakis
We introduce a deep machine learning approach to studying quasar microlensing light curves for the first time by analyzing hundreds of thousands of simulated light curves with resp…
astro-ph.IM2018★ 8 cited
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data
Radamanthys Stivaktakis, Grigorios Tsagkatakis, Bruno Moraes +3
In this paper, we address the problem of spectroscopic redshift estimation in Astronomy. Due to the expansion of the Universe, galaxies recede from each other on average. This move…