8 citations · 9 across the 3 of their papers we have counts for
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astro-ph.IM2022★ 1 cited
Astronomical source detection in radio continuum maps with deep neural networks
S. Riggi, D. Magro, R. Sortino +13
Source finding is one of the most challenging tasks in upcoming radio continuum surveys with SKA precursors, such as the Evolutionary Map of the Universe (EMU) survey of the Austra…
astro-ph.IM2021
Astronomical source finding services for the CIRASA visual analytic platform
S. Riggi, C. Bordiu, F. Vitello +11
Innovative developments in data processing, archiving, analysis, and visualization are nowadays unavoidable to deal with the data deluge expected in next-generation facilities for…
astro-ph.IM2021★ 8 cited
A Comparative Study of Convolutional Neural Networks for the Detection of Strong Gravitational Lensing
Daniel Magro, Kristian Zarb Adami, Andrea DeMarco +2
As we enter the era of large-scale imaging surveys with the up-coming telescopes such as LSST and SKA, it is envisaged that the number of known strong gravitational lensing systems…