71 citations · 72 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2024★ 1 cited
TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results
Ehsan, Gharib-Nezhad, Natasha E. Batalha +4
We are on the verge of a revolutionary era in space exploration, thanks to advancements in telescopes such as the James Webb Space Telescope (\textit{JWST}). High-resolution, high…
astro-ph.EP2021★ 71 cited
ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier that Validates 301 New Exoplanets
Hamed Valizadegan, Miguel Martinho, Laurent S. Wilkens +10
The kepler and TESS missions have generated over 100,000 potential transit signals that must be processed in order to create a catalog of planet candidates. During the last few yea…