CECCONELLO, THOMAS
CECCONELLO, THOMAS
DIPARTIMENTO DI FISICA "GIUSEPPE OCCHIALINI"
Self-Supervised Learning for Radio-Astronomy Source Classification: A Benchmark
2025 Cecconello, T; Riggi, S; Becciani, U; Vitello, F; Hopkins, A; Vizzari, G; Spampinato, C; Palazzo, S
Sifting the debris: Patterns in the SNR population with unsupervised ML methods
2024 Bufano, F; Bordiu, C; Cecconello, T; Munari, M; Hopkins, A; Ingallinera, A; Leto, P; Loru, S; Riggi, S; Sciacca, E; Vizzari, G; De Marco, A; Buemi, C; Cavallaro, F; Trigilio, C; Umana, G
Astronomical source detection in radio continuum maps with deep neural networks
2023 Riggi, S; Magro, D; Sortino, R; De Marco, A; Bordiu, C; Cecconello, T; Hopkins, A; Marvil, J; Umana, G; Sciacca, E; Vitello, F; Bufano, F; Ingallinera, A; Fiameni, G; Spampinato, C; Zarb Adami, K
Curriculum–Based Reinforcement Learning for Pedestrian Simulation: Towards an Explainable Training Process
2023 Vizzari, G; Briola, D; Cecconello, T
Patterns in the Chaos: An Unsupervised View of Galactic Supernova Remnants
2023 Bordiu, C; Bufano, F; Cecconello, T; Sciacca, E; Riggi, S; Vizzari, G
Pedestrian Simulation with Reinforcement Learning: A Curriculum-Based Approach
2023 Vizzari, G; Cecconello, T
Unsupervised Data Pattern Discovery on the Cloud
2022 Cecconello, T; Puerari, L; Vizzari, G
A curriculum-based reinforcement learninig approach to pedestrian simulation
2021 Albericci, T; Cecconello, T; Gibertini, A; Vizzari, G