1.2k citations · 15.5k across the 163 of their papers we have counts for
Showing 2017 · astro-ph.IMShow all
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astro-ph.IM2017★ 20 cited
Learning from the machine: interpreting machine learning algorithms for point- and extended- source classification
Xan Morice-Atkinson, Ben Hoyle, David Bacon
We investigate star-galaxy classification for astronomical surveys in the context of four methods enabling the interpretation of black-box machine learning systems. The first is ou…
astro-ph.IM2017★ 9 cited
The Euclid Data Processing Challenges
Pierre Dubath, Nikolaos Apostolakos, Andrea Bonchi +37
Euclid is a Europe-led cosmology space mission dedicated to a visible and near infrared survey of the entire extra-galactic sky. Its purpose is to deepen our knowledge of the dark…