Sfoglia per Autore
Bayesian and Machine Learning Methods in the Big Data era for astronomical imaging
2023 Guglielmetti, Fabrizia; Arras, Philipp; Delli Veneri, Michele; Enßlin, Torsten; Longo, Giuseppe; Tychoniec, Łukasz; Villard, Eric
3D detection and characterization of ALMA sources through deep learning
2023 Delli , ; Veneri, Michele; Tychoniec, Łukasz; Guglielmetti, Fabrizia; Longo, Giuseppe; Villard, Eric
HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy
2022 Delli Veneri, M.; Cavuoti, S.; Abbruzzese, R.; Brescia, M.; Sperli, G.; Moscato, V.; Longo, G.
Periodic Astrometric Signal Recovery Through Convolutional Autoencoders
2021 Delli Veneri, Michele; Desdoigts, Louis; Schmitz, Morgan A.; Krone-Martins, Alberto; Ishida, Emille E. O.; Tuthill, Peter; de Souza, Rafael. S.; Scalzo, Richard; Brescia, Massimo; Longo, Giuseppe; Picariello, Antonio
Rejection Criteria Based on Outliers in the KiDS Photometric Redshifts and PDF Distributions Derived by Machine Learning
2021 Amaro, Valeria; Cavuoti, Stefano; Brescia, Massimo; Riccio, Giuseppe; Tortora, Crescenzo; D’Addona, Maurizio; Delli Veneri, Michele; Napolitano, Nicola R.; Radovich, Mario; Longo, Giuseppe
A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on solar system bodies
2021 Donadio, C.; Brescia, M.; Riccardo, A.; Angora, G.; Delli Veneri, M.; Riccio, G.
Photometric SFR using machine learning
2019 Delli Veneri, M.; Cavuoti, S.; Brescia, M.; Longo, G.; Riccio, G.
Star formation rates for photometric samples of galaxies using machine learning methods
2019 Delli Veneri, Michele; Cavuoti, S.; Brescia, M.; Longo, G.; Riccio, G.
Stellar formation rates in galaxies using Machine Learning models
2018 Delli Veneri, M.; Cavuoti, S.; Brescia, M.; Riccio, G.; Longo, G.
| Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|---|
| Bayesian and Machine Learning Methods in the Big Data era for astronomical imaging | 2.1 Contributo in volume (Capitolo o Saggio) | 2023 | Guglielmetti, Fabrizia; Arras, Philipp; Delli Veneri, Michele; Enßlin, Torsten; Longo, Giuseppe; Tychoniec, Łukasz; Villard, Eric | |
| 3D detection and characterization of ALMA sources through deep learning | 1.1 Articolo in rivista | 2023 | Delli , ; Veneri, Michele; Tychoniec, Łukasz; Guglielmetti, Fabrizia; Longo, Giuseppe; Villard, Eric | |
| HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy | 1.1 Articolo in rivista | 2022 | Delli Veneri, M.; Cavuoti, S.; Abbruzzese, R.; Brescia, M.; Sperli, G.; Moscato, V.; Longo, G. | |
| Periodic Astrometric Signal Recovery Through Convolutional Autoencoders | 2.1 Contributo in volume (Capitolo o Saggio) | 2021 | Delli Veneri, Michele; Desdoigts, Louis; Schmitz, Morgan A.; Krone-Martins, Alberto; Ishida, Emille E. O.; Tuthill, Peter; de Souza, Rafael. S.; Scalzo, Richard; Brescia, Massimo; Longo, Giuseppe; Picariello, Antonio | |
| Rejection Criteria Based on Outliers in the KiDS Photometric Redshifts and PDF Distributions Derived by Machine Learning | 2.1 Contributo in volume (Capitolo o Saggio) | 2021 | Amaro, Valeria; Cavuoti, Stefano; Brescia, Massimo; Riccio, Giuseppe; Tortora, Crescenzo; D’Addona, Maurizio; Delli Veneri, Michele; Napolitano, Nicola R.; Radovich, Mario; Longo, Giuseppe | |
| A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on solar system bodies | 1.1 Articolo in rivista | 2021 | Donadio, C.; Brescia, M.; Riccardo, A.; Angora, G.; Delli Veneri, M.; Riccio, G. | |
| Photometric SFR using machine learning | 5.12 Banca dati | 2019 | Delli Veneri, M.; Cavuoti, S.; Brescia, M.; Longo, G.; Riccio, G. | |
| Star formation rates for photometric samples of galaxies using machine learning methods | 1.1 Articolo in rivista | 2019 | Delli Veneri, Michele; Cavuoti, S.; Brescia, M.; Longo, G.; Riccio, G. | |
| Stellar formation rates in galaxies using Machine Learning models | 4.1 Articoli in Atti di convegno | 2018 | Delli Veneri, M.; Cavuoti, S.; Brescia, M.; Riccio, G.; Longo, G. |
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile