Massimo Brescia

Orcid: 0000-0001-9506-5680

Affiliations:
  • National Institute of Astrophysics, Naples, Italy


According to our database1, Massimo Brescia authored at least 31 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Euclid: Identification of asteroid streaks in simulated images using deep learning.
CoRR, 2023

2022
HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy.
Knowl. Based Syst., 2022

ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection.
CoRR, 2022

2021
A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies.
CoRR, 2021

2019
VIALACTEA science gateway for Milky Way analysis.
Future Gener. Comput. Syst., 2019

2018
Catalog of quasars from the Kilo-Degree Survey Data Release 3.
CoRR, 2018

stellar formation rates in galaxies using machine learning models.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Milky way analysis through a Science Gateway: workflows and resource monitoring.
PeerJ Prepr., 2017

The Astronomical Data Deluge: the Template Case of Photometric Redshifts.
Proceedings of the Selected Papers of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), 2017

Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case.
Proceedings of the Data Analytics and Management in Data Intensive Domains, 2017

Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground.
Proceedings of the Selected Papers of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), 2017

Neural Gas Based Classification of Globular Clusters.
Proceedings of the Data Analytics and Management in Data Intensive Domains, 2017

2016
Machine Learning Based Data Mining for Milky Way Filamentary Structures Reconstruction.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Probability density estimation of photometric redshifts based on machine learning.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

C3: A Command-line Catalogue Cross-matching tool for modern astrophysical survey data.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

Integrated data access, visualization and analysis for Galactic Plane surveys: the VIALACTEA case.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016


Cooperative photometric redshift estimation.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

METAPHOR: Probability density estimation for machine learning based photometric redshifts.
Proceedings of the Astroinformatics 2016, Sorrento, Italy, October 19-25, 2016, 2016

2015
Machine learning based data mining for Milky Way filamentary structures reconstruction.
CoRR, 2015

Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation.
Comput. Math. Methods Medicine, 2015

2012
Genetic Algorithm Modeling with GPU Parallel Computing Technology.
Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2011
DAME: A Distributed Data Mining & Exploration Framework within the Virtual Observatory
CoRR, 2011

The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community
CoRR, 2011

VOGCLUSTERS: an example of DAME web application
CoRR, 2011

2010
DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration
CoRR, 2010

Mining Knowledge in Astrophysical Massive Data Sets
CoRR, 2010

2008
Astrophysics in S.Co.P.E
CoRR, 2008

GRID-Launcher v.1.0
CoRR, 2008

The VO-Neural project: recent developments and some applications
CoRR, 2008

2003
Ground-based telescope pointing and tracking optimization using a neural controller.
Neural Networks, 2003


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