91 citations · 387 across the 9 of their papers we have counts for
3 papers · 1 filter
Modeling with the Crowd: Optimizing the Human-Machine Partnership with Zooniverse
Hugh Dickinson, Lucy Fortson, Claudia Scarlata +2
LSST and Euclid must address the daunting challenge of analyzing the unprecedented volumes of imaging and spectroscopic data that these next-generation instruments will generate. A…
Integrating human and machine intelligence in galaxy morphology classification tasks
Melanie R. Beck, Claudia Scarlata, Lucy F. Fortson +8
Quantifying galaxy morphology is a challenging yet scientifically rewarding task. As the scale of data continues to increase with upcoming surveys, traditional classification metho…
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…