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astro-ph.CO2011★ 33 cited
A Refined QSO Selection Method Using Diagnostics Tests: 663 QSO Candidates in the LMC
Dae-Won Kim, Pavlos Protopapas, Markos Trichas +4
We present 663 QSO candidates in the Large Magellanic Cloud (LMC) selected using multiple diagnostics. We started with a set of 2,566 QSO candidates from our previous work selected…
astro-ph.IM2011★ 97 cited
QSO Selection Algorithm Using Time Variability and Machine Learning: Selection of 1,620 QSO Candidates from MACHO LMC Database
Dae-Won Kim, Pavlos Protopapas, Yong-Ik Byun +3
We present a new QSO selection algorithm using a Support Vector Machine (SVM), a supervised classification method, on a set of extracted times series features including period, amp…