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20242026
most citedLeveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars

5 citations · 9 across the 5 of their papers we have counts for

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cs.AI2024★ 5 cited

Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars

Lorenzo Monti, Tatiana Muraveva, Gisella Clementini +1

Astronomy is entering an unprecedented era of Big Data science, driven by missions like the ESA's Gaia telescope, which aims to map the Milky Way in three dimensions. Gaia's vast d…