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Showing results 50 to 69 of 92 < previous next >

Issue Date	Title	Author(s)	Fulltext
2015	Feature Selection based on Machine Learning in MRIs for Hippocampal Segmentation	Tangaro, Sabina; Amoroso, Nicola; BRESCIA, Massimo ; CAVUOTI, STEFANO ; Chincarini, Andrea; Errico, Rosangela; Paolo, Inglese; Longo, Giuseppe; Maglietta, Rosalia; Tateo, Andrea, et al	open
2015	The first and second data releases of the Kilo-Degree Survey	de Jong, Jelte T. A.; Verdoes Kleijn, Gijs A.; Boxhoorn, Danny R.; Buddelmeijer, Hugo; CAPACCIOLI, Massimo; GETMAN, FEDOR ; GRADO, ANIELLO ; Helmich, Ewout; Huang, Zhuoyi; Irisarri, Nancy, et al	open
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 , et al	open
2016	Galaxy Evolution Within the Kilo-Degree Survey	TORTORA, CRESCENZO ; NAPOLITANO, NICOLA ROSARIO ; LA BARBERA, Francesco ; Roy, N.; RADOVICH, MARIO ; GETMAN, FEDOR ; BRESCIA, Massimo ; CAVUOTI, STEFANO ; Capaccioli, M.; Longo, G.	open
2017	The Hi-GAL compact source catalogue - I. The physical properties of the clumps in the inner Galaxy (-71.0° < ℓ < 67.0°)	ELIA, Davide Quintino ; MOLINARI, Sergio ; SCHISANO, EUGENIO ; Pestalozzi, M.; PEZZUTO, Stefano ; Merello, M.; Noriega-Crespo, A.; Moore, T. J. T.; Russeil, D.; Mottram, J. C., et al	open
2021	Improving the reliability of photometric redshift with machine learning	Razim, Oleksandra; CAVUOTI, STEFANO ; BRESCIA, Massimo ; RICCIO, GIUSEPPE ; Salvato, Mara; Longo, Giuseppe	open
2013	Inside Catalogs: A Comparison of Source Extraction Software	Annunziatella, M.; MERCURIO, AMATA ; BRESCIA, Massimo ; CAVUOTI, STEFANO ; Longo, G.	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

Showing results 50 to 69 of 92 < previous next >