1 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Self-supervised learning for radio-astronomy source classification: a benchmark
Thomas Cecconello, Simone Riggi, Ugo Becciani +5
The upcoming Square Kilometer Array (SKA) telescope marks a significant step forward in radio astronomy, presenting new opportunities and challenges for data analysis. Traditional…
Radio source analysis services for the SKA and precursors
Simone Riggi, Cristobal Bordiu, Daniel Magro +8
New developments in data processing and visualization are being made in preparation for upcoming radioastronomical surveys planned with the Square Kilometre Array (SKA) and its pre…
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…
Novel EOSC Services for Space Challenges: The NEANIAS First Outcomes
Eva Sciacca, Mel Krokos, Ugo Becciani +13
The European Open Science Cloud (EOSC) initiative faces the challenge of developing an agile, fit-for-purpose, and sustainable service-oriented platform that can address the evolvi…