Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning (2020)
Attributed to:
Machine Learning for LSST-scale Citizen Science
funded by
STFC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1093/mnras/stz2816
Publication URI: http://dx.doi.org/10.1093/mnras/stz2816
Type: Journal Article/Review
Parent Publication: Monthly Notices of the Royal Astronomical Society
Issue: 2