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Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz1883
Abstract: In the context of radio galaxy classification, most state-of-the-art neural network algorithms have been focused on single survey data. The question of whether these trained algorithms have cross-survey identification ability or can be adapted to…
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Keywords:
radio;
transfer learning;
galaxy classification;
radio galaxy ... See more keywords