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20212025
most citedSelf-supervised learning for radio-astronomy source classification: a benchmark

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph

Alessandro Leanza, Angelo Moroncelli, Giuseppe Vizzari +3

ConceptBot is a modular robotic planning framework that combines Large Language Models and Knowledge Graphs to generate feasible and risk-aware plans despite ambiguities in natural…

astro-ph.IM2024★ 1 cited

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…

cs.CV2024

Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli

Valentyn Piskovskyi, Riccardo Chimisso, Sabrina Patania +3

The purpose of this work is to investigate the soundness and utility of a neural network-based approach as a framework for exploring the impact of image enhancement techniques on v…

astro-ph.GA2024

Sifting the debris: Patterns in the SNR population with unsupervised ML methods

F. Bufano, C. Bordiu, T. Cecconello +13

Supernova remnants (SNRs) carry vast amounts of mechanical and radiative energy that heavily influence the structural, dynamical, and chemical evolution of galaxies. To this day, m…

astro-ph.IM2023

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…

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…

astro-ph.IM2021

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…