Sfoglia per Autore
Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models
2017 Ceccarelli, Fulvia; Sciandrone, Marco; Perricone, Carlo; Galvan, Giulio; Morelli, Francesco; Vicente, Luis Nunes; Leccese, Ilaria; Massaro, Laura; Cipriano, Enrica; Spinelli, Francesca Romana; Alessandri, Cristiano; Valesini, Guido; Conti, Fabrizio
Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in Italy
2018 Matteo Cantù, Guido Cocchi, Giulio Galvan, Leonardo Galli, Marco Sciandrone, Giuseppe Tomaselli
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
Modeling cancer drug response through drug-specific informative genes
2019 Luca Parca , Gerardo Pepe , Marco Pietrosanto , Giulio Galvan , Leonardo Galli , Antonio Palmeri , Marco Sciandrone , Fabrizio Ferrè , Gabriele Ausiello , Manuela Helmer Citterich
On the convergence of inexact augmented Lagrangian methods for problems with convex constraints
2019 Galvan G.; Lapucci M.
Decomposition methods for constrained nonlinear optimization
2020 Giulio Galvan
An Alternating Augmented Lagrangian method for constrained nonconvex optimization
2020 Galvan, G.*; Lapucci, M.; Levato, T.; Sciandrone, M.
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems
2021 matteo lapucci; giulio galvan; marco sciandrone
A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization
2023 Civitelli, Enrico; Sortino, Alessio; Lapucci, Matteo; Bagattini, Francesco; Galvan, Giulio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models | 2017 | Ceccarelli, Fulvia; Sciandrone, Marco; Perricone, Carlo; Galvan, Giulio; Morelli, Francesco; Vicente, Luis Nunes; Leccese, Ilaria; Massaro, Laura; Cipriano, Enrica; Spinelli, Francesca Romana; Alessandri, Cristiano; Valesini, Guido; Conti, Fabrizio | |
| Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in Italy | 2018 | Matteo Cantù, Guido Cocchi, Giulio Galvan, Leonardo Galli, Marco Sciandrone, Giuseppe Tomaselli | |
| 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 | |
| Modeling cancer drug response through drug-specific informative genes | 2019 | Luca Parca , Gerardo Pepe , Marco Pietrosanto , Giulio Galvan , Leonardo Galli , Antonio Palmeri , Marco Sciandrone , Fabrizio Ferrè , Gabriele Ausiello , Manuela Helmer Citterich | |
| On the convergence of inexact augmented Lagrangian methods for problems with convex constraints | 2019 | Galvan G.; Lapucci M. | |
| Decomposition methods for constrained nonlinear optimization | 2020 | Giulio Galvan | |
| An Alternating Augmented Lagrangian method for constrained nonconvex optimization | 2020 | Galvan, G.*; Lapucci, M.; Levato, T.; Sciandrone, M. | |
| A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems | 2021 | matteo lapucci; giulio galvan; marco sciandrone | |
| A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization | 2023 | Civitelli, Enrico; Sortino, Alessio; Lapucci, Matteo; Bagattini, Francesco; Galvan, Giulio |
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