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Found 2 papers, 2 papers with code
Light Curve Classification with DistClassiPy: a new distance-based classifier
While tree-based models (e. g. Random Forests) and deep learning models dominate the field, we explore the use of different distance metrics to aid in the classification of astrophysical objects.
Photometric identification of compact galaxies, stars and quasars using multiple neural networks
We present MargNet, a deep learning-based classifier for identifying stars, quasars and compact galaxies using photometric parameters and images from the Sloan Digital Sky Survey (SDSS) Data Release 16 (DR16) catalogue.
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