February 18, 2020 article Open access Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging Monthly Notices of the Royal Astronomical Society DOI: 10.1093/mnras/staa501 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 8 stored of 119 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 Active galactic nucleus–host galaxy photometric decomposition using a fast, accurate, and precise deep learning approach 2025 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 4 citations Euclid preparation 2024 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 17 citations Galaxy merger challenge: A comparison study between machine learning-based detection methods 2024 Springer Link (Chiba Institute of Technology) article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 3 citations Galaxy merger challenge: A comparison study between machine learning-based detection methods 2024 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 20 citations Morphological classification of radio galaxies with Wasserstein generative adversarial network-supported augmentation 2023 RAS Techniques and Instruments article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 14 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 Galaxy Evolution in All Five CANDELS Fields and IllustrisTNG: Morphological, Structural, and the Major Merger Evolution to z ∼ 3 2021 The Astrophysical Journal article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 54 citations Galaxy Merger Rates up to z ∼ 3 Using a Bayesian Deep Learning Model: A Major-merger Classifier Using IllustrisTNG Simulation Data 2020 The Astrophysical Journal article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 92 citations 8 results References 0