20 citations · 43 across the 7 of their papers we have counts for
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astro-ph.CO2023★ 3 cited
Selection functions of strong lens finding neural networks
A. Herle, C. M. O'Riordan, S. Vegetti
Convolution Neural Networks trained for the task of lens finding with similar architecture and training data as is commonly found in the literature are biased classifiers. An under…
astro-ph.GA2023★ 20 cited
The impact of human expert visual inspection on the discovery of strong gravitational lenses
Karina Rojas, Thomas E. Collett, Daniel Ballard +53
We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that…