BRESCIA, Massimo
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Issue Date | Title | Author(s) | Fulltext | |
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1 | 2018 | Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks | Bilicki, M.; Hoekstra, H.; Brown, M. J. I.; Amaro, V.; Blake, C.; CAVUOTI, STEFANO ; de Jong, J. T. A.; Georgiou, C.; Hildebrandt, H.; Wolf, C.; Amon, A.; BRESCIA, Massimo ; Brough, S.; Costa-Duarte, M. V.; Erben, T.; Glazebrook, K.; GRADO, ANIELLO ; Heymans, C.; Jarrett, T.; Joudaki, S.; Kuijken, K.; Longo, G.; NAPOLITANO, NICOLA ROSARIO ; Parkinson, D.; Vellucci, C.; Verdoes Kleijn, G. A.; Wang, L. | open |
2 | 2019 | Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies | Amaro, V.; CAVUOTI, STEFANO ; BRESCIA, Massimo ; Vellucci, C.; Longo, G.; Bilicki, M.; de Jong, J. T. A.; TORTORA, CRESCENZO ; RADOVICH, MARIO ; NAPOLITANO, NICOLA ROSARIO ; Buddelmeijer, H. | open |
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