Photometric Redshifts With Machine Learning, Lights and Shadows on a Complex Data Science Use Case
The importance of the current role of data-driven science is constantly increasing within Astrophysics, due to the huge amount of multi-wavelength data collected every day, characterized by complex and high-volume information requiring efficient and, as much as possible, automated exploration tools....
Main Authors: | Massimo Brescia, Stefano Cavuoti, Oleksandra Razim, Valeria Amaro, Giuseppe Riccio, Giuseppe Longo |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-06-01
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Series: | Frontiers in Astronomy and Space Sciences |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fspas.2021.658229/full |
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