CECCONELLO, THOMAS
CECCONELLO, THOMAS
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
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Risultati 1 - 6 di 6 (tempo di esecuzione: 0.018 secondi).
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
| Titolo | Tipologia | Data di pubblicazione | Autori | File |
|---|---|---|---|---|
| Astronomical source detection in radio continuum maps with deep neural networks | 01 - Articolo su rivista | 2023 | Cecconello, T. + | |
| Curriculum–Based Reinforcement Learning for Pedestrian Simulation: Towards an Explainable Training Process | 02 - Intervento a convegno | 2023 | Vizzari G.Briola D.Cecconello T. | |
| Patterns in the Chaos: An Unsupervised View of Galactic Supernova Remnants | 02 - Intervento a convegno | 2023 | Cecconello, T.Vizzari, G. + | |
| Pedestrian Simulation with Reinforcement Learning: A Curriculum-Based Approach | 01 - Articolo su rivista | 2023 | Vizzari, GiuseppeCecconello, Thomas | |
| Unsupervised Data Pattern Discovery on the Cloud | 02 - Intervento a convegno | 2022 | Cecconello T.Puerari L.Vizzari G. | |
| A curriculum-based reinforcement learninig approach to pedestrian simulation | 02 - Intervento a convegno | 2021 | Cecconello, TVizzari, G + |