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Items where Person is "Brescia-M"

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Number of items: 11.

2019

Norris, Ray P. and Salvato, M. and Longo, G. et al. (2019) A Comparison of Photometric Redshift Techniques for Large Radio Surveys. Publications of the Astronomical Society of the Pacific, 131 (1004). Art. No. 108004. ISSN 0004-6280. https://resolver.caltech.edu/CaltechAUTHORS:20190919-113941154

2017

Cavuoti, S. and Tortora, C. and Brescia, M. et al. (2017) A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data. Monthly Notices of the Royal Astronomical Society, 466 (2). pp. 2039-2053. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20170417-080608577

Cavuoti, S. and Amaro, V. and Brescia, M. et al. (2017) METAPHOR: a machine-learning-based method for the probability density estimation of photometric redshifts. Monthly Notices of the Royal Astronomical Society, 465 (2). pp. 1959-1973. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20170324-075726160

2016

D'Isanto, A. and Cavuoti, S. and Brescia, M. et al. (2016) An analysis of feature relevance in the classification of astronomical transients with machine learning methods. Monthly Notices of the Royal Astronomical Society, 457 (3). pp. 3119-3132. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20160509-092928454

2014

Brescia, Massimo and Cavuoti, Stefano and Longo, Giuseppe et al. (2014) DAMEWARE: A Web Cyberinfrastructure for Astrophysical Data Mining. Publications of the Astronomical Society of the Pacific, 126 (942). pp. 783-797. ISSN 0004-6280. https://resolver.caltech.edu/CaltechAUTHORS:20141008-104855024

Cavuoti, Stefano and Brescia, Massimo and D'Abrusco, Raffaele et al. (2014) Photometric classification of emission line galaxies with machine-learning methods. Monthly Notices of the Royal Astronomical Society, 437 (1). pp. 968-975. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20140121-100430884

Cavuoti, S. and Garofalo, M. and Brescia, M. et al. (2014) Astrophysical data mining with GPU. A case study: Genetic classification of globular clusters. New Astronomy, 26 . pp. 12-22. ISSN 1384-1076. https://resolver.caltech.edu/CaltechAUTHORS:20131108-093459004

2013

Brescia, Massimo and Longo, Giuseppe (2013) Astroinformatics, data mining and the future of astronomical research. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 720 . pp. 92-94. ISSN 0168-9002. https://resolver.caltech.edu/CaltechAUTHORS:20130730-100503732

Annunziatella, M. and Mercurio, A. and Brescia, M. et al. (2013) Inside Catalogs: A Comparison of Source Extraction Software. Publications of the Astronomical Society of the Pacific, 125 (923). pp. 68-82. ISSN 0004-6280. https://resolver.caltech.edu/CaltechAUTHORS:20130225-074704125

2012

Cavuoti, S. and Brescia, M. and Longo, G. (2012) Data mining and knowledge discovery resources for astronomy in the web 2.0 age. In: Software and Cyberinfrastructure for Astronomy II. Proceedings of SPIE. No.8451. Society of Photo-Optical Instrumentation Engineers (SPIE) , Bellingham, WA, Art. No. 845103. ISBN 9780819491527. https://resolver.caltech.edu/CaltechAUTHORS:20190916-084927406

Brescia, Massimo and Cavuoti, Stefano and Djorgovski, George S. et al. (2012) Extracting Knowledge from Massive Astronomical Data Sets. In: Astrostatistics and Data Mining. Springer Series in Astrostatistics. No.2. Springer , New York, NY, pp. 31-45. ISBN 978-1-4614-3322-4. https://resolver.caltech.edu/CaltechAUTHORS:20190723-141622366

This list was generated on Mon Oct 21 04:37:51 2019 PDT.