15 citations · 66 across the 10 of their papers we have counts for
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astro-ph.IM2023★ 13 cited
AutoSourceID-Classifier. Star-Galaxy Classification using a Convolutional Neural Network with Spatial Information
F. Stoppa, S. Bhattacharyya, R. Ruiz de Austri +10
Aims. Traditional star-galaxy classification techniques often rely on feature estimation from catalogues, a process susceptible to introducing inaccuracies, thereby potentially jeo…
astro-ph.HE2023★ 5 cited
Effect of covariate shift on multi-class classification of Fermi-LAT sources
Dmitry V. Malyshev
Probabilistic classification of unassociated Fermi-LAT sources using machine learning methods has an implicit assumption that the distributions of associated and unassociated sourc…
astro-ph.HE2023★ 11 cited
Multi-class classification of Fermi-LAT sources with hierarchical class definition
Dmitry V. Malyshev, Aakash Bhat
In the paper we develop multi-class classification of Fermi-LAT gamma-ray sources using machine learning with hierarchical determination of classes. One of the main challenges in t…