Self-organizing maps applied to nonparametric variability estimators identify variable AGN light curves with 86% purity and 66% completeness, comparable to deep learning.
J., Pollacco, D., & Santerne, A
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How to Find Variable Active Galactic Nuclei with Machine Learning
Self-organizing maps applied to nonparametric variability estimators identify variable AGN light curves with 86% purity and 66% completeness, comparable to deep learning.