Radio Galaxy Zoo: using semi-supervised learning to leverage large unlabelled data sets for radio galaxy classification under data set shift (2022)

First Author: Slijepcevic I
Attributed to:  Astrophysics and Cosmology Research at the JBCA 2020-2023 funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/mnras/stac1135

Publication URI: http://dx.doi.org/10.1093/mnras/stac1135

Type: Journal Article/Review

Parent Publication: Monthly Notices of the Royal Astronomical Society

Issue: 2