45 citations · 212 across the 11 of their papers we have counts for
3 papers · 1 filter
Machine Learning Assisted NEO Discovery and Polarimetric Characterisation with Astronomical Surveys
G. A. Verdoes Kleijn, T. Grobler, S. J. Chong +12
We are a group of over two dozen astronomers, computer scientists, data scientists and digital Big Data research platform experts at 11 universities and research institutes in Sout…
Euclid: Early Release Observations -- Programme overview and pipeline for compact- and diffuse-emission photometry
J. -C. Cuillandre, E. Bertin, M. Bolzonella +260
The Euclid ERO showcase Euclid's capabilities in advance of its main mission, targeting 17 astronomical objects, from galaxy clusters, nearby galaxies, globular clusters, to star-f…
Object classification with Convolutional Neural Networks: from KiDS to Euclid
G. A. Verdoes Kleijn, C. A. Marocico, Y. Mzayek +11
Large-scale imaging surveys have grown about 1000 times faster than the number of astronomers in the last 3 decades. Using Artificial Intelligence instead of astronomer's brains fo…