13 citations · 15 across the 3 of their papers we have counts for
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astro-ph.EP2025★ 2 cited
DART-Vetter: A Deep LeARning Tool for automatic triage of exoplanet candidates
Stefano Fiscale, Laura Inno, Alessandra Rotundi +12
In the identification of new planetary candidates in transit surveys, the employment of Deep Learning models proved to be essential to efficiently analyse a continuously growing vo…
astro-ph.EP2022★ 13 cited
A systematic validation of hot Neptunes in TESS data
Christian Magliano, Giovanni Covone, Richa Dobal +26
We statistically validated a sample of hot Neptune candidates applying a two-step vetting technique using DAVE and TRICERATOPS. We performed a systematic validation of 250 transit-…