Petrillo, C. E.C. E.PetrilloTORTORA, CRESCENZOCRESCENZOTORTORAVernardos, G.G.VernardosKoopmans, L. V. E.L. V. E.KoopmansVerdoes Kleijn, G.G.Verdoes KleijnBilicki, M.M.BilickiNAPOLITANO, NICOLA ROSARIONICOLA ROSARIONAPOLITANOChatterjee, S.S.ChatterjeeCovone, G.G.CovoneDvornik, A.A.DvornikErben, T.T.ErbenGETMAN, FEDORFEDORGETMANGiblin, B.B.GiblinHeymans, C.C.Heymansde Jong, J. T. A.J. T. A.de JongKuijken, K.K.KuijkenSchneider, P.P.SchneiderShan, H.H.ShanSPINIELLO, CHIARACHIARASPINIELLOWright, A. H.A. H.Wright2021-01-072021-01-0720190035-8711http://hdl.handle.net/20.500.12386/29538We present a new sample of galaxy-scale strong gravitational lens candidates, selected from 904 deg<SUP>2</SUP> of Data Release 4 of the Kilo-Degree Survey, i.e. the `Lenses in the Kilo-Degree Survey' (LinKS) sample. We apply two convolutional neural networks (ConvNets) to {∼ }88 000 colour-magnitude-selected luminous red galaxies yielding a list of 3500 strong lens candidates. This list is further downselected via human inspection. The resulting LinKS sample is composed of 1983 rank-ordered targets classified as `potential lens candidates' by at least one inspector. Of these, a high-grade subsample of 89 targets is identified with potential strong lenses by all inspectors. Additionally, we present a collection of another 200 strong lens candidates discovered serendipitously from various previous ConvNet runs. A straightforward application of our procedure to future Euclid or Large Synoptic Survey Telescope data can select a sample of ∼3000 lens candidates with less than 10 per cent expected false positives and requiring minimal human intervention.STAMPAenLinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networksArticle10.1093/mnras/stz1892-s2.0-85062291009000462410300076https://academic.oup.com/mnras/article/484/3/3879/52903352019MNRAS.484.3879PFIS/05 - ASTRONOMIA E ASTROFISICAERC sectors::Physical Sciences and Engineering::PE9 Universe sciences: astro-physics/chemistry/biology; solar systems; stellar, galactic and extragalactic astronomy, planetary systems, cosmology, space science, instrumentation::PE9_6 Stars and stellar systems