13 citations · 29 across the 3 of their papers we have counts for
3 papers
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.IM2023★ 5 cited
AutoSourceID-FeatureExtractor. Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation
F. Stoppa, R. Ruiz de Austri, P. Vreeswijk +9
Aims. In astronomy, machine learning has been successful in various tasks such as source localisation, classification, anomaly detection, and segmentation. However, feature regress…
astro-ph.IM2022★ 11 cited
AutoSourceID-Light. Fast Optical Source Localization via U-Net and Laplacian of Gaussian
Fiorenzo Stoppa, Paul Vreeswijk, Steven Bloemen +9
. With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable s…