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A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection., , , , and . CoRR, (2023)Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images., , , , , , , , , and 1 other author(s). CoRR, (2019)How to Make the Dream Come True: The Astronomers' Data Manifesto.. Data Sci. J., (2007)Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels., , , , , , , , , and . CoRR, (2023)RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts., , , , and . CoRR, (2023)Unexpected Circular Radio Objects at High Galactic Latitude, , , , , , , , , and 19 other author(s). (2020)cite arxiv:2006.14805Comment: Accepted for publication by PASA.Estimating galaxy redshift in radio-selected datasets using machine learning., , , , and . Astron. Comput., (2022)Classification of compact radio sources in the Galactic plane with supervised machine learning., , , , , , , , , and 6 other author(s). CoRR, (2024)Astroinformatics Challenges from Next-generation Radio Continuum Surveys.. Astroinformatics, volume 12 of Proceedings of the International Astronomical Union, page 103-113. Cambridge University Press, (2016)A Search for Missing Radio Sources at $z\gtrsim4$ Using Lyman Dropouts, , , , , , , and . (2022)cite arxiv:2211.06915Comment: Accepted for publication in Monthly Notices of the Royal Astronomical Society.