BRESCIA, Massimo
Fulltext
Results 1-12 of 12 (Search time: 0.003 seconds).
Issue Date | Title | Author(s) | Fulltext | |
---|---|---|---|---|
1 | 2017 | A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data | CAVUOTI, STEFANO ; TORTORA, CRESCENZO ; BRESCIA, Massimo ; Longo, G.; RADOVICH, MARIO ; NAPOLITANO, NICOLA ROSARIO ; Amaro, V.; Vellucci, C.; LA BARBERA, Francesco ; GETMAN, FEDOR ; GRADO, ANIELLO | open |
2 | 2016 | An analysis of feature relevance in the classification of astronomical transients with machine learning methods | D'Isanto, A.; Cavuoti, S. ; BRESCIA, Massimo ; Donalek, C.; Longo, G.; RICCIO, GIUSEPPE ; Djorgovski, S. G. | open |
3 | 2019 | Astroinformatics-based search for globular clusters in the Fornax Deep Survey | Angora, G.; BRESCIA, Massimo ; CAVUOTI, STEFANO ; Paolillo, Maurizio ; Longo, G.; CANTIELLO, Michele ; Capaccioli, M.; D'Abrusco, R.; D'Ago, G.; Hilker, M.; IODICE, ENRICHETTA ; Mieske, S.; NAPOLITANO, NICOLA ROSARIO ; Peletier, R.; Pota, V.; Puzia, T.; RICCIO, GIUSEPPE ; SPAVONE, MARILENA | open |
4 | 2015 | Automated physical classification in the SDSS DR10. A catalogue of candidate quasars | BRESCIA, Massimo ; Cavuoti, S. ; Longo, G. | open |
5 | 2018 | Evolution of galaxy size-stellar mass relation from the Kilo-Degree Survey | Roy, N.; NAPOLITANO, NICOLA ROSARIO ; LA BARBERA, Francesco ; TORTORA, CRESCENZO ; GETMAN, FEDOR ; RADOVICH, MARIO ; Capaccioli, M.; BRESCIA, Massimo ; CAVUOTI, STEFANO ; Longo, G.; RAJ, MARIA ANGELA ; PUDDU, Emanuella Anna ; Covone, G.; Amaro, V.; Vellucci, C.; GRADO, ANIELLO ; Kuijken, K.; Verdoes Kleijn, G.; Valentijn, E. | open |
6 | 2018 | The first sample of spectroscopically confirmed ultra-compact massive galaxies in the Kilo Degree Survey | TORTORA, CRESCENZO ; NAPOLITANO, NICOLA ROSARIO ; SPAVONE, MARILENA ; LA BARBERA, Francesco ; D'Ago, G.; SPINIELLO, CHIARA ; Kuijken, K. H.; Roy, N.; RAJ, MARIA ANGELA ; CAVUOTI, STEFANO ; BRESCIA, Massimo ; Longo, G.; Pota, V.; Petrillo, C. E.; RADOVICH, MARIO ; GETMAN, FEDOR ; Koopmans, L. V. E.; Trujillo, I.; Verdoes Kleijn, G.; Capaccioli, M.; GRADO, ANIELLO ; Covone, G.; Scognamiglio, D.; Blake, C.; Glazebrook, K.; Joudaki, S.; Lidman, C.; Wolf, C. | open |
7 | 2015 | Machine-learning-based photometric redshifts for galaxies of the ESO Kilo-Degree Survey data release 2 | Cavuoti, S. ; BRESCIA, Massimo ; TORTORA, CRESCENZO ; Longo, G.; NAPOLITANO, NICOLA ROSARIO ; RADOVICH, MARIO ; LA BARBERA, Francesco ; Capaccioli, M.; de Jong, J. T. A.; GETMAN, FEDOR ; GRADO, ANIELLO ; Paolillo, Maurizio | open |
8 | 2017 | METAPHOR: a machine-learning-based method for the probability density estimation of photometric redshifts | CAVUOTI, STEFANO ; Amaro, V.; BRESCIA, Massimo ; Vellucci, C.; TORTORA, CRESCENZO ; Longo, G. | open |
9 | 2019 | Photometric redshifts for X-ray-selected active galactic nuclei in the eROSITA era | BRESCIA, Massimo ; Salvato, M.; CAVUOTI, STEFANO ; Ananna, T. T.; RICCIO, GIUSEPPE ; LaMassa, S. M.; Urry, C. M.; Longo, G. | open |
10 | 2019 | Star formation rates for photometric samples of galaxies using machine learning methods | DELLI VENERI, MICHELE ; CAVUOTI, STEFANO ; BRESCIA, Massimo ; Longo, G.; RICCIO, GIUSEPPE | open |
11 | 2019 | Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies | Amaro, V.; CAVUOTI, STEFANO ; BRESCIA, Massimo ; Vellucci, C.; Longo, G.; Bilicki, M.; de Jong, J. T. A.; TORTORA, CRESCENZO ; RADOVICH, MARIO ; NAPOLITANO, NICOLA ROSARIO ; Buddelmeijer, H. | open |
12 | 2016 | Towards a census of supercompact massive galaxies in the Kilo Degree Survey | TORTORA, CRESCENZO ; LA BARBERA, Francesco ; NAPOLITANO, NICOLA ROSARIO ; Roy, N.; RADOVICH, MARIO ; CAVUOTI, STEFANO ; BRESCIA, Massimo ; Longo, G.; GETMAN, FEDOR ; Capaccioli, M.; GRADO, ANIELLO ; Kuijken, K. H.; de Jong, J. T. A.; McFarland, J. P.; PUDDU, Emanuella Anna | open |
Claim Researcher Page
Check the encrypted string of this email, put the correct string in the box below and click "Go" to validate the email and claim this profile.
Emails: m a s s * * * * * * * * * * * @ * * * f . i t