49 citations · 50 across the 2 of their papers we have counts for
2 papers
astro-ph.GA2022★ 1 cited
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift
Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley +4
In this work we examine the classification accuracy and robustness of a state-of-the-art semi-supervised learning (SSL) algorithm applied to the morphological classification of rad…
astro-ph.GA2019★ 49 cited
Radio Galaxy Zoo: The Distortion of Radio Galaxies by Galaxy Clusters
Avery F. Garon, Lawrence Rudnick, O. Ivy Wong +9
We study the impact of cluster environment on the morphology of a sample of 4304 extended radio galaxies from Radio Galaxy Zoo. A total of 87% of the sample lies within a projected…