activity
20212025
most citedSelf-supervised contrastive learning of radio data for source detection, classification and peculiar object discovery

8 citations · 19 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

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.IM2022★ 1 cited

Latent Space Explorer: Unsupervised Data Pattern Discovery on the Cloud

T. Cecconello, C. Bordiu, F. Bufano +6

Extracting information from raw data is probably one of the central activities of experimental scientific enterprises. This work is about a pipeline in which a specific model is tr…