GALVAN, GIULIO
GALVAN, GIULIO
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems
2021 Galvan, G; Lapucci, M; Lin, Cj; Sciandrone, M
An Alternating Augmented Lagrangian method for constrained nonconvex optimization
2020 Galvan, G.; Lapucci, M.; Levato, T.; Sciandrone, M.
Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models (vol 13, e0207926, 2018)
2019 Ceccarelli, Fulvia; Sciandrone, Marco; Perricone, Carlo; Galvan, Giulio; Cipriano, Enrica; Galligari, Alessandro; Levato, Tommaso; Colasanti, Tania; Massaro, Laura; Natalucci, Francesco; Spinelli, FRANCESCA ROMANA; Alessandri, Cristiano; Valesini, Guido; Conti, Fabrizio
Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models.
2018 Ceccarelli, Fulvia; Sciandrone, Marco; Perricone, Carlo; Galvan, Giulio; Cipriano, Enrica; Galligari, Alessandro; Levato, Tommaso; Colasanti, Tania; Massaro, Laura; Natalucci, Francesco; Spinelli, FRANCESCA ROMANA; Alessandri, Cristiano; Valesini, Guido; Conti, Fabrizio
Football: Discovering elapsing-time bias in the science of success
2021 Galli, L.; Galvan, G.; Levato, T.; Liti, C.; Piccialli, V.; Sciandrone, M.
Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in Italy
2018 Cocchi, G.; Galli, L.; Galvan, G.; Sciandrone, M.; Cantu, M.; Tomaselli, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems | 2021 | Galvan, G; Lapucci, M; Lin, Cj; Sciandrone, M | |
| An Alternating Augmented Lagrangian method for constrained nonconvex optimization | 2020 | Galvan, G.; Lapucci, M.; Levato, T.; Sciandrone, M. | |
| Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models (vol 13, e0207926, 2018) | 2019 | Ceccarelli, Fulvia; Sciandrone, Marco; Perricone, Carlo; Galvan, Giulio; Cipriano, Enrica; Galligari, Alessandro; Levato, Tommaso; Colasanti, Tania; Massaro, Laura; Natalucci, Francesco; Spinelli, FRANCESCA ROMANA; Alessandri, Cristiano; Valesini, Guido; Conti, Fabrizio | |
| Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models. | 2018 | Ceccarelli, Fulvia; Sciandrone, Marco; Perricone, Carlo; Galvan, Giulio; Cipriano, Enrica; Galligari, Alessandro; Levato, Tommaso; Colasanti, Tania; Massaro, Laura; Natalucci, Francesco; Spinelli, FRANCESCA ROMANA; Alessandri, Cristiano; Valesini, Guido; Conti, Fabrizio | |
| Football: Discovering elapsing-time bias in the science of success | 2021 | Galli, L.; Galvan, G.; Levato, T.; Liti, C.; Piccialli, V.; Sciandrone, M. | |
| Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in Italy | 2018 | Cocchi, G.; Galli, L.; Galvan, G.; Sciandrone, M.; Cantu, M.; Tomaselli, G. |