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
about 1 year 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