3 citations · 5 across the 7 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
astro-ph.GA2023
GAMMA: Galactic Attributes of Mass, Metallicity, and Age Dataset
Ufuk Çakır, Tobias Buck
We introduce the GAMMA (Galactic Attributes of Mass, Metallicity, and Age) dataset, a comprehensive collection of galaxy data tailored for Machine Learning applications. This datas…
astro-ph.IM2023★ 2 cited
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…