48 citations · 129 across the 12 of their papers we have counts for
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astro-ph.IM2023
Explaining the GWSkyNet-Multi machine learning classifier predictions for gravitational-wave events
Nayyer Raza, Man Leong Chan, Daryl Haggard +5
GWSkyNet-Multi is a machine learning model developed for classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories. The model uses limited…
astro-ph.IM2021★ 13 cited
GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo Public Alerts
Thomas C. Abbott, Eitan Buffaz, Nicholas Vieira +4
Compact object mergers which produce both detectable gravitational waves and electromagnetic emission can provide valuable insights into the neutron star equation of state, the ten…