📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Integrating human and machine intelligence in galaxy morphology classification tasks (2018)

First Author: Beck M

Attributed to: Human-Machine Classification for Astrophysical Projects funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/mnras/sty503

Publication URI: http://dx.doi.org/10.1093/mnras/sty503

Type: Journal Article/Review

Parent Publication: Monthly Notices of the Royal Astronomical Society

Issue: 4