NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (39)

astro-ph.CO2015

The first and second data releases of the Kilo-Degree Survey

Jelte T. A. de Jong, Gijs A. Verdoes Kleijn, Danny R. Boxhoorn +46

astro-ph.IM2016

C3, A Command-line Catalogue Cross-match tool for large astrophysical catalogues

Giuseppe Riccio, Massimo Brescia, Stefano Cavuoti +3

astro-ph.IM2010

DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration

Massimo Brescia, Giuseppe Longo, George S. Djorgovski +12

astro-ph.IM2016

DAMEWARE - Data Mining & Exploration Web Application Resource

Massimo Brescia, Stefano Cavuoti, Francesco Esposito +7

astro-ph.IM2010

A decline and fall in the future of Italian Astronomy?

Angelo Antonelli, Vincenzo Antonuccio-Delogu, Andrea Baruffolo +89

astro-ph.CO2018

Weak Lensing Study in VOICE Survey I: Shear Measurement

Liping Fu, Dezi Liu, Mario Radovich +15

astro-ph.GA2015

Automated physical classification in the SDSS DR10. A catalogue of candidate Quasars

Massimo Brescia, Stefano Cavuoti, Giuseppe Longo

astro-ph.IM2016

An analysis of feature relevance in the classification of astronomical transients with machine learning methods

Antonio D'Isanto, Stefano Cavuoti, Massimo Brescia +4

physics.med-ph2015

Feature Selection based on Machine Learning in MRIs for Hippocampal Segmentation

Sabina Tangaro, Nicola Amoroso, Massimo Brescia +9

astro-ph.IM2013

Astrophysical data mining with GPU. A case study: genetic classification of globular clusters

Stefano Cavuoti, Mauro Garofalo, Massimo Brescia +4

astro-ph.IM2012

Genetic Algorithm Modeling with GPU Parallel Computing Technology

Stefano Cavuoti, Mauro Garofalo, Massimo Brescia +3

astro-ph.IM2016

PhotoRaptor - Photometric Research Application To Redshifts

Stefano Cavuoti, Massimo Brescia, Virgilio De Stefano +1

astro-ph.CO2013

Photometric classification of emission line galaxies with Machine Learning methods

Stefano Cavuoti, Massimo Brescia, Raffaele D'Abrusco +2

astro-ph.IM2011

Extracting Knowledge From Massive Astronomical Data Sets

Massimo Brescia, Stefano Cavuoti, S. G. Djorgovski +3

astro-ph.IM2015

Machine Learning based photometric redshifts for the KiDS ESO DR2 galaxies

Stefano Cavuoti, Massimo Brescia, Crescenzo Tortora +9

astro-ph.IM2011

VOGCLUSTERS: an example of DAME web application

Marco Castellani, Massimo Brescia, Ettore Mancini +2

astro-ph.IM2016

A Command-line Cross-matching tool for modern astrophysical pipelines

Giuseppe Riccio, Massimo Brescia, Stefano Cavuoti +3

astro-ph.IM2015

Advanced Environment for Knowledge Discovery in the VIALACTEA Project

Ugo Becciani, Marilena Bandieramonte, Massimo Brescia +16

astro-ph.IM2014

DAMEWARE: A web cyberinfrastructure for astrophysical data mining

Massimo Brescia, Stefano Cavuoti, Giuseppe Longo +14

astro-ph.IM2018

Neural Gas based classification of Globular Clusters

Giuseppe Angora, Massimo Brescia, Stefano Cavuoti +3

astro-ph.IM2018

Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case

Massimo Brescia, Stefano Cavuoti, Valeria Amaro +4

astro-ph.IM2019

Stellar formation rates in galaxies using Machine Learning models

Michele Delli Veneri, Stefano Cavuoti, Massimo Brescia +2

astro-ph.IM2017

Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground

Giuseppe Angora, Massimo Brescia, Giuseppe Riccio +3

astro-ph.IM2017

Probability density estimation of photometric redshifts based on machine learning

Stefano Cavuoti, Massimo Brescia, Valeria Amaro +3

astro-ph.IM2017

Cooperative photometric redshift estimation

Stefano Cavuoti, Crescenzo Tortora, Massimo Brescia +5

astro-ph.IM2016

The design strategy of scientific data quality control software for Euclid mission

Massimo Brescia, Stefano Cavuoti, Terje Fredvik +7

astro-ph.IM2015

Photometric redshift estimation based on data mining with PhotoRApToR

Stefano Cavuoti, Massimo Brescia, Virgilio De Stefano +1

astro-ph.CO2015

Mapping the Galaxy Color-Redshift Relation: Optimal Photometric Redshift Calibration Strategies for Cosmology Surveys

Daniel Masters, Peter Capak, Daniel Stern +17

astro-ph.IM2014

Data-Rich Astronomy: Mining Sky Surveys with PhotoRApToR

Stefano Cavuoti, Massimo Brescia, Giuseppe Longo

astro-ph.IM2017

$C^{3}$ : A Command-line Catalogue Cross-matching tool for modern astrophysical survey data

Giuseppe Riccio, Massimo Brescia, Stefano Cavuoti +3

astro-ph.IM2016

A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data

Stefano Cavuoti, Crescenzo Tortora, Massimo Brescia +8

astro-ph.IM2012

Photometric redshifts with Quasi Newton Algorithm (MLPQNA). Results in the PHAT1 contest

Stefano Cavuoti, Massimo Brescia, Giuseppe Longo +1

astro-ph.IM2017

METAPHOR: Probability density estimation for machine learning based photometric redshifts

Valeria Amaro, Stefano Cavuoti, Massimo Brescia +3

astro-ph.IM2017

The Euclid Data Processing Challenges

Pierre Dubath, Nikolaos Apostolakos, Andrea Bonchi +37

astro-ph.IM2012

Astroinformatics, data mining and the future of astronomical research

Massimo Brescia, Giuseppe Longo

astro-ph.IM2016

VIALACTEA knowledge base homogenizing access to Milky Way data

Marco Molinaro, Robert Butora, Marilena Bandieramonte +16

astro-ph.IM2016

Machine learning based data mining for Milky Way filamentary structures reconstruction

Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano +7

astro-ph.IM2018

Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies

Valeria Amaro, Stefano Cavuoti, Massimo Brescia +8

astro-ph.IM2016

METAPHOR: A machine learning based method for the probability density estimation of photometric redshifts

Stefano Cavuoti, Valeria Amaro, Massimo Brescia +3