46 citations · 46 across the 1 of their papers we have counts for
2 papers
astro-ph.GA2018
The VIMOS Public Extragalactic Redshift Survey (VIPERS). The complexity of galaxy populations at 0.4< z<1.3 revealed with unsupervised machine-learning algorithms
M. Siudek, K. Małek, A. Pollo +37
Various galaxy classification schemes have been developed so far to constrain the main physical processes regulating evolution of different galaxy types. In the era of a deluge of…
astro-ph.GA2016★ 46 cited
Machine-learning identification of galaxies in the WISExSuperCOSMOS all-sky catalogue
T. Krakowski, K. Małek, M. Bilicki +3
The two currently largest all-sky photometric datasets, WISE and SuperCOSMOS, were cross-matched by Bilicki et al. (2016) (B16) to construct a novel photometric redshift catalogue…