89 citations · 415 across the 10 of their papers we have counts for
24 papers
Photometric redshift estimation based on data mining with PhotoRApToR
Stefano Cavuoti, Massimo Brescia, Virgilio De Stefano +1
Photometric redshifts (photo-z) are crucial to the scientific exploitation of modern panchromatic digital surveys. In this paper we present PhotoRApToR (Photometric Research Applic…
Feature Selection based on Machine Learning in MRIs for Hippocampal Segmentation
Sabina Tangaro, Nicola Amoroso, Massimo Brescia +9
Neurodegenerative diseases are frequently associated with structural changes in the brain. Magnetic Resonance Imaging (MRI) scans can show these variations and therefore be used as…
Data Driven Discovery in Astrophysics
G. Longo, M. Brescia, S. G. Djorgovski +2
We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the forefront of "big data" sci…
CLASH-VLT: The stellar mass function and stellar mass density profile of the z=0.44 cluster of galaxies MACS J1206.2-0847
M. Annunziatella, A. Biviano, A. Mercurio +29
Context. The study of the galaxy stellar mass function (SMF) in relation to the galaxy environment and the stellar mass density profile, rho(r), is a powerful tool to constrain mod…
Extending the supernova Hubble diagram to z~1.5 with the Euclid space mission
P. Astier, C. Balland, M. Brescia +25
We forecast dark energy constraints that could be obtained from a new large sample of Type Ia supernovae where those at high redshift are acquired with the Euclid space mission. We…
A catalogue of photometric redshifts for the SDSS-DR9 galaxies
M. Brescia, S. Cavuoti, G. Longo +1
Accurate photometric redshifts for large samples of galaxies are among the main products of modern multiband digital surveys. Over the last decade, the Sloan Digital Sky Survey (SD…