activity
20172026
most citedA transient search using combined human and machine classifications

51 citations · 53 across the 7 of their papers we have counts for

collaborators

8 papers

astro-ph.IM2026

Star-forming clump detection in nearby galaxies using Faster R-CNN and imaging data from CLAUDS and HSC-SSP

Jürgen J. Popp, Hugh Dickinson, Stephen Serjeant +4

Giant Star-forming Clumps (GSFCs) are kpc-scale regions of enhanced star-formation with stellar masses of to that are commonly observed in high-redshift gala…

astro-ph.IM2025

Galaxy Zoo Evo: 1 million human-annotated images of galaxies

Mike Walmsley, Steven Bamford, Hugh Dickinson +17

We introduce Galaxy Zoo Evo, a labeled dataset for building and evaluating foundation models on images of galaxies. GZ Evo includes 104M crowdsourced labels for 823k images from fo…

astro-ph.GA2025★ 1 cited

Galaxy Zoo: Cosmic Dawn -- morphological classifications for over 41,000 galaxies in the Euclid Deep Field North from the Hawaii Two-0 Cosmic Dawn survey

James Pearson, Hugh Dickinson, Stephen Serjeant +22

We present morphological classifications of over 41,000 galaxies out to across six square degrees of the Euclid Deep Field North (EDFN) from the Hawaii Twenty…

astro-ph.IM2025

The La Silla Schmidt Southern Survey

Adam A. Miller, Natasha S. Abrams, Greg Aldering +75

We present the La Silla Schmidt Southern Survey (LS4), a new wide-field, time-domain survey to be conducted with the 1 m ESO Schmidt telescope. The 268 megapixel LS4 camera mosaics…

cs.LG2025

Improving Deep Ensembles by Estimating Confusion Matrices

Danil Kuzin, Olga Isupova, Steven Reece +1

Ensembling in deep learning improves accuracy and calibration over single networks. The traditional aggregation approach, ensemble averaging, treats all individual networks equally…

astro-ph.GA2024★ 1 cited

Galaxy Zoo: Morphologies based on UKIDSS NIR Imaging for 71,052 Galaxies

Karen L. Masters, Melanie Galloway, Lucy Fortson +6

We present morphological classifications based on Galaxy Zoo analysis of 71,052 galaxies with imaging from the United Kingdom Infrared Telescope Infrared Deep Sky Survey (UKIDSS).…

astro-ph.GA2023

Transfer learning for galaxy feature detection: Finding Giant Star-forming Clumps in low redshift galaxies using Faster R-CNN

Jürgen Popp, Hugh Dickinson, Stephen Serjeant +8

Giant Star-forming Clumps (GSFCs) are areas of intensive star-formation that are commonly observed in high-redshift (z>1) galaxies but their formation and role in galaxy evolution…

astro-ph.IM2017★ 51 cited

A transient search using combined human and machine classifications

Darryl E. Wright, Chris J. Lintott, Stephen J. Smartt +22

Large modern surveys require efficient review of data in order to find transient sources such as supernovae, and to distinguish such sources from artefacts and noise. Much effort h…