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ORCIDMassimo Brescia
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- affiliation: National Institute of Astrophysics, Naples, Italy
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2020 – today
- 2024
[i17]Lars Doorenbos, Eva Sextl, Kevin Heng, Stefano Cavuoti, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo, Raphael Sznitman, Pablo Márquez-Neila:
Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models. CoRR abs/2406.18175 (2024)- 2023
- [i16]Mikko Pöntinen, Mikael Granvik, Achille A. Nucita, L. Conversi, Bruno Altieri, B. Carry, Conor M. O'Riordan, D. Scott, N. Aghanim, Adam Amara, Luca Amendola, N. Auricchio, M. Baldi, D. Bonino, E. Branchini, Massimo Brescia, S. Camera, Vito Capobianco, C. Carbone, J. Carretero, M. Castellano, Stefano Cavuoti
, A. Cimatti, R. Cledassou, Giuseppe Congedo, Y. Copin, L. Corcione, Frédéric Courbin, Mark Cropper, A. Da Silva, Hubert Degaudenzi, J. Dinis, Florian Dubath, X. Dupac, S. Dusini, S. Farrens, S. Ferriol, Marco Frailis, Enrico Franceschi, M. Fumana, S. Galeotta, et al.:
Euclid: Identification of asteroid streaks in simulated images using deep learning. CoRR abs/2310.03845 (2023) - 2022
- [j4]Michele Delli Veneri, Stefano Cavuoti, Roberto Abbruzzese, Massimo Brescia, Giancarlo Sperlì, Vincenzo Moscato, Giuseppe Longo:
HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy. Knowl. Based Syst. 244: 108566 (2022) - [i15]Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila:
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. CoRR abs/2208.10984 (2022) - 2021
- [i14]Carlo Donadio, Massimo Brescia, Alessia Riccardo, Giuseppe Angora, Michele Delli Veneri, Giuseppe Riccio:
A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies. CoRR abs/2103.04116 (2021)
2010 – 2019
- 2019
- [j3]Eva Sciacca, Fabio Vitello, Ugo Becciani, Alessandro Costa, Ákos Hajnal, Péter Kacsuk, Zoltán Farkas, Istvan Marton, Sergio Molinari, Anna Maria Di Giorgio, Eugenio Schisano, Scige John Liu, Davide Elia, Stefano Cavuoti, Giuseppe Riccio, Massimo Brescia:
VIALACTEA science gateway for Milky Way analysis. Future Gener. Comput. Syst. 94: 947-956 (2019) - 2018
- [c13]Michele Delli Veneri, Stefano Cavuoti, Massimo Brescia, Giuseppe Riccio, Giuseppe Longo:
stellar formation rates in galaxies using machine learning models. ESANN 2018 - [i13]S. Nakoneczny, Maciej Bilicki, Aleksandra Solarz, Agnieszka Pollo, N. Maddox, C. Spiniello, Massimo Brescia, Nicola R. Napolitano:
Catalog of quasars from the Kilo-Degree Survey Data Release 3. CoRR abs/1812.03084 (2018) - 2017
- [c12]Giuseppe Longo, Massimo Brescia, Stefano Cavuoti:
The Astronomical Data Deluge: the Template Case of Photometric Redshifts. DAMDID/RCDL 2017: 27-29 - [c11]Massimo Brescia, Stefano Cavuoti, Valeria Amaro, Giuseppe Riccio, Giuseppe Angora, Civita Vellucci, Giuseppe Longo:
Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case. DAMDID/RCDL (Selected Papers) 2017: 61-72 - [c10]Giuseppe Angora, Massimo Brescia, Stefano Cavuoti, Giuseppe Riccio, Maurizio Paolillo, Thomas H. Puzia:
Neural Gas Based Classification of Globular Clusters. DAMDID/RCDL (Selected Papers) 2017: 86-101 - [c9]Giuseppe Angora, Massimo Brescia, Giuseppe Riccio, Stefano Cavuoti, Maurizio Paolillo, Thomas H. Puzia:
Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground. DAMDID/RCDL 2017: 381-388 - [i12]Eva Sciacca, Fabio Vitello, Ugo Becciani, Alessandro Costa, Ákos Hajnal, Péter Kacsuk, Sergio Molinari, Anna Maria Di Giorgio, Eugenio Schisano, Scige John Liu, Davide Elia, Stefano Cavuoti, Giuseppe Riccio, Massimo Brescia:
Milky way analysis through a Science Gateway: workflows and resource monitoring. PeerJ Prepr. 5: e2818 (2017) - 2016
- [c8]Pierre Dubath, Nikolaos Apostolakos, Andrea Bonchi, Andrey N. Belikov, Massimo Brescia, Stefano Cavuoti, Peter Capak, Jean Coupon, Christophe Dabin, Hubert Degaudenzi, Shantanu Desai, Florian Dubath, Adriano Fontana, Sotiria Fotopoulou, Marco Frailis, Audrey Galametz, John Hoar, Mark Holliman, Ben Hoyle, Patrick Hudelot, Olivier Ilbert, Martin Kuemmel, Martin Melchior, Yannick Mellier, Joe Mohr, Nicolas Morisset, Stéphane Paltani, Roser Pello, Stefano Pilo, Gianluca Polenta, Maurice Poncet, Roberto Saglia, Mara Salvato, Marc Sauvage, Marc Schefer, Santiago Serrano, Marco Soldati, Andrea Tramacere, O. Rees Williams, Andrea Zacchei:
The Euclid Data Processing Challenges. Astroinformatics 2016: 73-82 - [c7]Stefano Cavuoti, Crescenzo Tortora, Massimo Brescia, Giuseppe Longo, Mario Radovich, Nicola R. Napolitano, Valeria Amaro, Civita Vellucci:
Cooperative photometric redshift estimation. Astroinformatics 2016: 166-172 - [c6]Valeria Amaro, Stefano Cavuoti, Massimo Brescia, Civita Vellucci, Crescenzo Tortora, Giuseppe Longo:
METAPHOR: Probability density estimation for machine learning based photometric redshifts. Astroinformatics 2016: 197-200 - [c5]Sergio Molinari, Robert Butora, Stefano Cavuoti, Marco Molinaro, Giuseppe Riccio, Eva Sciacca, Fabio Vitello, Ugo Becciani, Massimo Brescia, Alessandro Costa, Riccardo Smareglia:
Integrated data access, visualization and analysis for Galactic Plane surveys: the VIALACTEA case. Astroinformatics 2016: 291-298 - [c4]Giuseppe Riccio, Massimo Brescia, Stefano Cavuoti, Amata Mercurio, Anna Maria Di Giorgio, Sergio Molinari:
C3: A Command-line Catalogue Cross-matching tool for modern astrophysical survey data. Astroinformatics 2016: 327-332 - [c3]Eva Sciacca, Fabio Vitello, Ugo Becciani, Alessandro Costa, Ákos Hajnal, Péter Kacsuk, Sergio Molinari, Anna Maria Di Giorgio, Eugenio Schisano, Scige John Liu, Davide Elia, Stefano Cavuoti, Giuseppe Riccio, Massimo Brescia:
Milky Way Analysis through a Science Gateway: Workflows and Resource Monitoring. IWSG 2016 - [c2]Stefano Cavuoti, Massimo Brescia, Civita Vellucci, Giuseppe Longo, Valeria Amaro, Crescenzo Tortora:
Probability density estimation of photometric redshifts based on machine learning. SSCI 2016: 1-6 - [p1]Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano, Massimo Brescia, Amata Mercurio, Davide Elia, Milena Benedettini, Stefano Pezzuto, Sergio Molinari, Anna Maria Di Giorgio:
Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction. Advances in Neural Networks 2016: 27-36 - [e1]Massimo Brescia, S. George Djorgovski, Eric D. Feigelson, Giuseppe Longo, Stefano Cavuoti:
Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016. Proceedings of the International Astronomical Union 12(S325), Cambridge University Press 2016 [contents] - 2015
- [j2]Sabina Sonia Tangaro, Nicola Amoroso, Massimo Brescia, Stefano Cavuoti, Andrea Chincarini, Rosangela Errico, Paolo Inglese, Giuseppe Longo, Rosalia Maglietta, Andrea Tateo, Giuseppe Riccio, Roberto Bellotti:
Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation. Comput. Math. Methods Medicine 2015: 814104:1-814104:10 (2015) - [i11]Sabina Sonia Tangaro, Nicola Amoroso, Massimo Brescia, Stefano Cavuoti, Andrea Chincarini, Rosangela Errico, Paolo Inglese, Giuseppe Longo, Rosalia Maglietta, Andrea Tateo, Giuseppe Riccio, Roberto Bellotti:
Feature Selection based on Machine Learning in MRIs for Hippocampal Segmentation. CoRR abs/1501.03915 (2015) - [i10]Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano, Massimo Brescia, Amata Mercurio, Davide Elia, Milena Benedettini, Stefano Pezzuto, Sergio Molinari, Anna Maria Di Giorgio:
Machine learning based data mining for Milky Way filamentary structures reconstruction. CoRR abs/1505.06621 (2015) - 2012
- [c1]Stefano Cavuoti, Mauro Garofalo, Massimo Brescia, Antonio Pescapè, Giuseppe Longo, Giorgio Ventre:
Genetic Algorithm Modeling with GPU Parallel Computing Technology. WIRN 2012: 29-39 - [i9]Stefano Cavuoti, Mauro Garofalo, Massimo Brescia, Antonio Pescapè, Giuseppe Longo, Giorgio Ventre:
Genetic Algorithm Modeling with GPU Parallel Computing Technology. CoRR abs/1211.5481 (2012) - 2011
- [i8]Marco Castellani, Massimo Brescia, Ettore Mancini, Luca Pellecchia, Giuseppe Longo:
VOGCLUSTERS: an example of DAME web application. CoRR abs/1109.4104 (2011) - [i7]Massimo Brescia, Anna Corazza, Stefano Cavuoti, Giovanni D'Angelo, Raffaele D'Abrusco, Ciro Donalek, S. George Djorgovski, Natalia Deniskina, Michelangelo Fiore, Mauro Garofalo, Omar Laurino, Giuseppe Longo, Ashish Mahabal, Francesco Manna, Alfonso Nocella, B. Skordovski:
The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community. CoRR abs/1112.0742 (2011) - [i6]Massimo Brescia, Stefano Cavuoti, Raffaele D'Abrusco, Omar Laurino, Giuseppe Longo:
DAME: A Distributed Data Mining & Exploration Framework within the Virtual Observatory. CoRR abs/1112.0750 (2011) - 2010
- [i5]Massimo Brescia, Giuseppe Longo, Fabio Pasian:
Mining Knowledge in Astrophysical Massive Data Sets. CoRR abs/1010.3796 (2010) - [i4]Massimo Brescia, Giuseppe Longo, S. George Djorgovski, Stefano Cavuoti, Raffaele D'Abrusco, Ciro Donalek, Alessandro Di Guido, Michelangelo Fiore, Mauro Garofalo, Omar Laurino, Ashish Mahabal, Francesco Manna, Alfonso Nocella, Giovanni D'Angelo, Maurizio Paolillo:
DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration. CoRR abs/1010.4843 (2010)
2000 – 2009
- 2008
- [i3]Massimo Brescia, Stefano Cavuoti, Giovanni D'Angelo, Raffaele D'Abrusco, Natalia Deniskina, Mauro Garofalo, Omar Laurino, Giuseppe Longo, Alfonso Nocella, B. Skordovski:
The VO-Neural project: recent developments and some applications. CoRR abs/0806.1006 (2008) - [i2]Natalia Deniskina, Massimo Brescia, Stefano Cavuoti, Giovanni D'Angelo, Omar Laurino, Giuseppe Longo:
GRID-Launcher v.1.0. CoRR abs/0806.1144 (2008) - [i1]Massimo Brescia, Stefano Cavuoti, Giovanni D'Angelo, Raffaele D'Abrusco, Ciro Donalek, Natalia Deniskina, Omar Laurino, Giuseppe Longo:
Astrophysics in S.Co.P.E. CoRR abs/0807.0967 (2008) - 2003
- [j1]D. Mancini, Massimo Brescia, Pietro Schipani:
Ground-based telescope pointing and tracking optimization using a neural controller. Neural Networks 16(3-4): 365-374 (2003)
Coauthor Index
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last updated on 2024-07-25 19:30 CEST by the dblp team
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