April 13, 2020 article Open access Identifying strong lenses with unsupervised machine learning using convolutional autoencoder Monthly Notices of the Royal Astronomical Society DOI: 10.1093/mnras/staa1015 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 81 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 Quick Data Release (Q1) 2026 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 0 citations Assessing Galaxy Rotation Kinematics: Insights from Convolutional Neural Networks on Velocity Variations 2025 Universe article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 2 citations Euclid preparation 2025 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 3 citations Systematic comparison of neural networks used in discovering strong gravitational lenses 2024 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Astrophysical Phenomena and Observations Open access 12 citations 4 results References 0