Identification of Low Surface Brightness Tidal Features in Galaxies Using Convolutional Neural Networks
Paper • 1811.11616 • Published
AI & ML interests
Understanding galaxy images by combining citizen science and deep learning
mwalmsley
authored 19
papers over 2 years ago
Modeling with the Crowd: Optimizing the Human-Machine Partnership with Zooniverse
Paper • 1903.07776 • Published
The Effect of Minor and Major Mergers on the Evolution of Low Excitation Radio Galaxies
Paper • 1905.00018 • Published
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning
Paper • 1905.07424 • Published
Quantifying the Poor Purity and Completeness of Morphological Samples Selected by Galaxy Colour
Paper • 2112.04507 • Published
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
Paper • 2102.08414 • Published
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift
Paper • 2204.08816 • Published
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning
Paper • 2110.12735 • Published
Towards Galaxy Foundation Models with Hybrid Contrastive Learning
Paper • 2206.11927 • Published
Galaxy Zoo: Clump Scout -- Design and first application of a two-dimensional aggregation tool for citizen science
Paper • 2210.03684 • Published
A New Task: Deriving Semantic Class Targets for the Physical Sciences
Paper • 2210.14760 • Published
Galaxy Zoo: Kinematics of strongly and weakly barred galaxies
Paper • 2302.05464 • Published
Harnessing the Hubble Space Telescope Archives: A Catalogue of 21,926 Interacting Galaxies
Paper • 2303.00366 • Published
Galaxy Zoo DESI: Detailed Morphology Measurements for 8.7M Galaxies in the DESI Legacy Imaging Surveys
Paper • 2309.11425 • Published
Deep Learning Segmentation of Spiral Arms and Bars
Paper • 2312.02908 • Published
Rare Galaxy Classes Identified In Foundation Model Representations
Paper • 2312.02910 • Published
Astronomaly at scale: searching for anomalies amongst 4 million galaxies
Paper • 2309.08660 • Published
Transfer learning for galaxy feature detection: Finding Giant Star-forming Clumps in low redshift galaxies using Faster R-CNN
Paper • 2312.03503 • Published
Scaling Laws for Galaxy Images
Paper • 2404.02973 • Published