24 citations · 39 across the 3 of their papers we have counts for
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astro-ph.IM2022★ 10 cited
Understanding of the properties of neural network approaches for transient light curve approximations
Mariia Demianenko, Konstantin Malanchev, Ekaterina Samorodova +4
Modern-day time-domain photometric surveys collect a lot of observations of various astronomical objects and the coming era of large-scale surveys will provide even more informatio…
astro-ph.IM2022★ 5 cited
Supernova Light Curves Approximation based on Neural Network Models
Mariia Demianenko, Ekaterina Samorodova, Mikhail Sysak +4
Photometric data-driven classification of supernovae becomes a challenge due to the appearance of real-time processing of big data in astronomy. Recent studies have demonstrated th…