October 04, 2025 article Open access Machine-learning approaches for classifying star-forming galaxies and active galactic nuclei from MIGHTEE-detected radio sources in the COSMOS field Monthly Notices of the Royal Astronomical Society DOI: 10.1093/mnras/staf1698 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 4 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access The infrared-radio correlation of star-forming galaxies is strongly M ⋆ -dependent but nearly redshift-invariant since z ∼ 4 2021 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 127 citations The LOFAR Two-metre Sky Survey: Deep Fields data release 1. V. Survey description, source classifications, and host galaxy properties 2023 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 96 citations HELP: the Herschel Extragalactic Legacy Project 2021 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 95 citations A multi-band AGN-SFG classifier for extragalactic radio surveys using machine learning 2023 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 6 citations 4 results