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pro vyhledávání: '"L. M. Izuti Nakazono"'
Autor:
Nina S. T. Hirata, Stephen S. Eikenberry, L. M. Izuti Nakazono, Sarik Jeram, Roderik Overzier, Conceição Queiroz, Anthony H. Gonzalez, R. Abramo, C. Mendes de Oliveira
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We present a machine learning methodology to separate quasars from galaxies and stars using data from S-PLUS in the Stripe-82 region. In terms of quasar classification, we achieved 95.49% for precision and 95.26% for recall using a Random Forest algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50bc1d956499ebed1c6763fb7713b85f