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Investigating Galaxy Morphology in Large Surveys Using Novel Machine Learning Frameworks
Estimating Galaxy Morphological Parameters for ~8 Million Galaxies in the Hyper Suprime-Cam Wide ...
Mike Walmsley: Galaxy Zoo(m): Probabilistic Galaxy Morphology via Bayesian CNNs and Active Learning
Automatic Morphological Classification of Galaxies using Statistical Learning 2022 June 04
Machine Learning for Scientific Discovery in Planetary and Space Science
2023 UCSC Galaxy Workshop Marc Huertas-Company: Galaxy morphology since z~6 with JWST-CEERS
Welcome & Big Data and Grand Computational Challenges in Astronomy
Dorota Bayer - Probing the nature of dark matter with galaxy-galaxy strong gravitational lensing
Most💯 Important Step Before any Procedure 🔥
Dr Francois Lanusse - Exploring the Cosmos with Deep Learning
Galaxy Zoo & The Zooniverse: citizen science as a powerful tool in the age of big data - B Smethurst
Dissecting the cosmic web with caustics â–¸ Job Feldbrugge (Edinburgh)
