February 25, 2020 article Open access Predicting star formation properties of galaxies using deep learning Monthly Notices of the Royal Astronomical Society DOI: 10.1093/mnras/staa537 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 34 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 Euclid preparation 2025 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 8 citations Euclid preparation 2024 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 9 citations Deep Learning Voigt Profiles. I. Single-Cloud Doublets 2024 The Astronomical Journal article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 3 citations COSMOS2020: Manifold learning to estimate physical parameters in large galaxy surveys 2022 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 29 citations Euclidpreparation – XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes andH-band images 2022 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 42 citations 5 results References 0