Gianluca Sasanelli (2024)
Finding gravitational lenses using transfer learning
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Astroinformatica
RSN-5
Quantum Bootcamp for Astrophysicists
15-18 aprile 2024
Geomorphical Analysis Through Automatic Segmentation of Satellite and Topographic Images for Deep Learning Based Classification
Mariarca D’Aniello (2023)
Data Mining in Astrofisica e Software Engineering
Riferimenti: Stefano Cavuoti & Giuseppe Riccio
Constraining cosmology and astrophysical processes with gravitational lensing and hydrodynamical simulations.
Valerio Busillo (2022-2025)
Machine Learning-Based Detection of Active Galactic Nuclei (AGN) Through Optical Variability Analysis
Riferimenti: Stefano Cavuoti & Demetra De Cicco
Astroinformatics – 2023
1-6 ottobre 2023
Machine Learning Applications for Galaxies in Large-Scale Sky Surveys
Dr. Rui Li – University of Chinese Academy of Sciences
28 giugno 2023
Deep Learning based search for galaxy scale-lenses in galaxy cluster environment
Giuseppe Angora – University of Ferrara
12 Aprile 2023
AstroInformatica e Data Science
La scienza moderna sta vivendo un’era caratterizzata dall’esplosione di dati. In tale contesto l’Astrofisica multi-messenger ne è fortemente coinvolta.
Identification of photo-z outliers with ML methods
Matteo Rossi (2022)
Strong gravitational lensing: a machine-learning perspective
Fabrizio Gentile – Università di Bologna
13 aprile 2022