114 citations · 533 across the 17 of their papers we have counts for
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astro-ph.IM2016★ 42 cited
A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data
Stefano Cavuoti, Crescenzo Tortora, Massimo Brescia +8
Photometric redshifts (photo-z's) are fundamental in galaxy surveys to address different topics, from gravitational lensing and dark matter distribution to galaxy evolution. The Ki…
astro-ph.IM2016★ 74 cited
METAPHOR: A machine learning based method for the probability density estimation of photometric redshifts
Stefano Cavuoti, Valeria Amaro, Massimo Brescia +3
A variety of fundamental astrophysical science topics require the determination of very accurate photometric redshifts (photo-z's). A wide plethora of methods have been developed,…