129 citations · 586 across the 26 of their papers we have counts for
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astro-ph.IM2016★ 44 cited
A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA
Kiri L. Wagstaff, Benyang Tang, David R. Thompson +6
Time domain radio astronomy observing campaigns frequently generate large volumes of data. Our goal is to develop automated methods that can identify events of interest buried with…
astro-ph.HE2016★ 24 cited
Limits on Fast Radio Bursts from Four Years of the V-FASTR Experiment
Sarah Burke-Spolaor, Cathryn M. Trott, Walter F. Brisken +7
The V-FASTR experiment on the Very Long Baseline Array was designed to detect dispersed pulses of milliseconds duration, such as fast radio bursts (FRBs). We use all V-FASTR data t…