339 citations · 551 across the 39 of their papers we have counts for
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astro-ph.HE2021★ 18 cited
Predicting the redshift of gamma-ray loud AGNs using supervised machine learning
Maria Giovanna Dainotti, Malgorzata Bogdan, Aditya Narendra +8
AGNs are very powerful galaxies characterized by extremely bright emissions coming out from their central massive black holes. Knowing the redshifts of AGNs provides us with an opp…
astro-ph.HE2019★ 5 cited
Gamma-ray Bursts as distance indicators through a machine learning approach
Maria Dainotti, Vahé Petrosian, Malgorzata Bogdan +7
Gamma-ray bursts (GRBs) are spectacularly energetic events, with the potential to inform on the early universe and its evolution, once their redshifts are known. Unfortunately, det…