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Showing results 67 to 86 of 104 < previous next >

Issue Date	Title	Author(s)	Fulltext
2022	KiDS and Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography	Loureiro, A.; Whittaker, L.; Spurio Mancini, A.; Joachimi, B.; Cuceu, A.; Asgari, M.; Stölzner, B.; Tröster, T.; Wright, A. H.; Bilicki, M., et al	open
2016	Luminosity Functions in the CLASH-VLT Cluster MACS J1206.2-0847: The Importance of Tidal Interactions	MERCURIO, AMATA ; Annunziatella, M.; BIVIANO, ANDREA ; NONINO, Mario ; Rosati, P.; Balestra, I.; BRESCIA, Massimo ; Girardi, M.; Gobat, R.; Grillo, C., et al	open
2016	Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction	RICCIO, GIUSEPPE ; CAVUOTI, STEFANO ; SCHISANO, EUGENIO ; Brescia, Massimo ; MERCURIO, AMATA ; ELIA, Davide Quintino ; Benedettini, M. ; PEZZUTO, Stefano ; MOLINARI, Sergio ; Di Giorgio, Anna Maria	open
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 , et al	open
2015	Mapping the Galaxy Color-Redshift Relation: Optimal Photometric Redshift Calibration Strategies for Cosmology Surveys	Masters, Daniel; Capak, Peter; Stern, Daniel; Ilbert, Olivier; Salvato, Mara; Schmidt, Samuel; Longo, Giuseppe; Rhodes, Jason; Paltani, Stephane; Mobasher, Bahram, et al	open
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
2017	METAPHOR: Probability density estimation for machine learning based photometric redshifts	Amaro, V.; CAVUOTI, STEFANO ; BRESCIA, Massimo ; Vellucci, C.; TORTORA, CRESCENZO ; Longo, G.	open
2016	Milky Way Analysis through a Science Gateway: Workflows and Resource Monitoring	SCIACCA, Eva ; VITELLO, FABIO ROBERTO ; BECCIANI, Ugo ; COSTA, Alessandro ; Hajnal, Akos; Kacsuk, Peter; MOLINARI, Sergio ; DI GIORGIO, Anna Maria ; SCHISANO, EUGENIO ; LIU, Scige' John , et al	open
2020	Nature versus nurture: relic nature and environment of the most massive passive galaxies at z < 0.5	TORTORA, CRESCENZO ; NAPOLITANO, NICOLA ROSARIO ; RADOVICH, MARIO ; SPINIELLO, CHIARA ; HUNT, Leslie Kipp ; Roy, N.; Moscardini, L.; Scognamiglio, D.; SPAVONE, MARILENA ; BRESCIA, Massimo , et al	open
2018	Neural Gas based classification of Globular Clusters	ANGORA, GIUSEPPE; BRESCIA, Massimo ; CAVUOTI, STEFANO ; RICCIO, GIUSEPPE ; Paolillo, Maurizio ; Puzia, Thomas H.	open
2014	Photometric classification of emission line galaxies with machine-learning methods	CAVUOTI, STEFANO ; BRESCIA, Massimo ; D'Abrusco, Raffaele; Longo, Giuseppe; Paolillo, Maurizio	open
2015	Photometric redshift estimation based on data mining with PhotoRApToR	Cavuoti, S. ; BRESCIA, Massimo ; De Stefano, V.; Longo, G.	open
2013	Photometric Redshifts for Quasars in Multi-band Surveys	BRESCIA, Massimo ; CAVUOTI, STEFANO ; D'Abrusco, R.; Longo, G.; MERCURIO, AMATA	open
2018	Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks	Bilicki, M.; Hoekstra, H.; Brown, M. J. I.; Amaro, V.; Blake, C.; CAVUOTI, STEFANO ; de Jong, J. T. A.; Georgiou, C.; Hildebrandt, H.; Wolf, C., et al	open
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
2012	Photometric redshifts with the quasi Newton algorithm (MLPQNA) Results in the PHAT1 contest	CAVUOTI, STEFANO ; BRESCIA, Massimo ; Longo, Giuseppe; MERCURIO, AMATA	open
2020	The search for galaxy cluster members with deep learning of panchromatic HST imaging and extensive spectroscopy	Angora, Giuseppe ; Rosati, Piero ; Brescia, M. ; Mercurio, A. ; GRILLO, CLAUDIO; Caminha, Gabriel; Meneghetti, M. ; Nonino, M. ; Vanzella, E. ; BERGAMINI, PIETRO, et al	open
2015	Shapley Supercluster Survey: construction of the photometric catalogues and i-band data release	MERCURIO, AMATA ; MERLUZZI, Paola ; BUSARELLO, Giovanni ; GRADO, ANIELLO ; Limatola, L.; Haines, C. P.; BRESCIA, Massimo ; Cavuoti, S. ; Dopita, M.; DALL'ORA, Massimo , et al	open
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
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 , et al	open

Showing results 67 to 86 of 104 < previous next >