23 citations · 34 across the 3 of their papers we have counts for
3 papers · 1 filter
Autoclassification of the Variable 3XMM Sources Using the Random Forest Machine Learning Algorithm
Sean A. Farrell, Tara Murphy, Kitty K. Lo
In the current era of large surveys and massive data sets, autoclassification of astrophysical sources using intelligent algorithms is becoming increasingly important. In this pape…
Using the VO to Study the Time Domain
Rob Seaman, Roy Williams, Matthew Graham +1
Just as the astronomical "Time Domain" is a catch-phrase for a diverse group of different science objectives involving time-varying phenomena in all astrophysical regimes from the…
The completeness and reliability of threshold and false-discovery-rate source extraction algorithms for compact continuum sources
Minh Huynh, Andrew Hopkins, Ray Norris +4
The process of determining the number and characteristics of sources in astronomical images is so fundamental to a large range of astronomical problems that it is perhaps surprisin…