Giovanni Russo (2020)
La correlazione tra variabilità e parametri fisici dei Nuclei Galattici Attivi
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Galassie e Cosmologia
RSN-1
Machine learning based classification of transients in astronomical synoptic surveys
Marco Vicedomini (2020)
Dwarf galaxy population in the Hydra cluster from VEGAS
Antonio La Marca (2020)
Giornate INAF 2019
27 – 28 marzo 2019
Star Formation Rates Estimation via Machine Learning Methods
Michele Delli Veneri (2018)
Kinematics Substructures in the Fornax cluster
Massimiliano Gatto (2018)
Bright & dark Universe
29 gennaio 2017 – 02 febbraio 2017
Characterization of Outliers in the Quasar Photometric Redshift Space
Michele Delli Veneri (2016)
A new photometric method to determine the metallicity of galaxies
Carlo Maria De Masi (2015)
Classification of astronomical transients with machine learning methods
Antonio D’Isanto (2014)
Characterization of Outliers in the Quasar Photometric Redshift Space
Carlo Enrico Petrillo (2014)
Data Rich Astronomy: Mining Synoptic Sky Surveys
Stefano Cavuoti (2010-2013)