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Photometric redshifts with machine learning, lights and shadows on a complex data science use case
Massimo Brescia, Stefano Cavuoti, Oleksandra Razim, Valeria Amaro, Giuseppe Riccio, Giuseppe Longo
Pregledni znanstveni članek
Oznake: astrophysics;instrumentation;methods;machine learning;photometric redshifts;
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. ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
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