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Mike Walmsley: Galaxy Zoo(m): Probabilistic Galaxy Morphology via Bayesian CNNs and Active Learning
Galaxy Zoo in the Deep Learning Era ▸ Mike Walmsley (U. Manchester)
Morphology & Quenching of Galaxies using Interpretable Bayesian CNN (Aritra Ghosh)
Machine Learning Application on Galaxy Morphological Classification Using Dark Energy Survey Images
Wonders of the Galaxy Zoo: morphological studies with a crowd, Chris Lintott
Color gradients within galaxies and their effect on galaxy morphology - Tim Miller - 10/17/2022
The most common issues applying ML - Mike Walmsley
Week 12 PHY 105 - Galaxy Zoo
Beyond the Hubble Sequence - Exploring galaxy morphology with unsupervised ML (Ting-Yun Cheng)
The Galaxy Zoo
Lab-Galaxy Zoo - Part 1
Galactic Classify Galaxies 9 3
