465 citations · 468 across the 3 of their papers we have counts for
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astro-ph.GA2026
Detection of metal absorption lines in quasar spectra: a neural network approach using U-Net
Elena Sofia Mangola, Francesco Pistis, Michele Fumagalli +7
Current and future large spectroscopic surveys are significantly enhancing the volume and resolution of quasar spectra that are observed, which requires the creation of efficient a…
astro-ph.GA2025★ 3 cited
Automated quasar continuum estimation using neural networks: a comparative study of deep-learning architectures
Francesco Pistis, Michele Fumagalli, Matteo Fossati +13
Context. Ongoing and upcoming large spectroscopic surveys are drastically increasing the number of observed quasar spectra, requiring the development of fast and accurate automated…