SCIANDRONE, MARCO
SCIANDRONE, MARCO
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
A unified convergence framework for nonmonotone inexact decomposition methods
2020 Galli L.; Galligari A.; 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)
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
Nonlinear optimization and support vector machines
2018 Piccialli, V; Sciandrone, M
Decomposition Techniques for Multi Layer Perceptrons Training
2016 Grippo, L; Manno, A; Sciandrone, M
Intracranial pressure wave morphological classification: automated analysis and clinical validation
2016 Nucci Carlotta, Ginevra; De Bonis, Pasquale; Mangiola, Annunziato; Santini, Pietro; Sciandrone, Marco; Risi, Arnaldo; Anile, Carmelo
A convergent and efficient decomposition method for the traffic assignment problem
2014 Di Lorenzo, D; Galligari, A; Sciandrone, M
An incremental decomposition method for unconstrained optimization
2014 Bravi, Luca; Sciandrone, Marco
An incremental least squares algorithm for large scale linear classification
2013 Cassioli, A.; Chiavaioli, A.; Manes, C.; Sciandrone, M.
A concave optimization-based approach for sparse portfolio selection
2012 Di Lorenzo, D.; Liuzzi, G.; Rinaldi, F.; Schoen, F.; Sciandrone, M.
A Concave Optimization-Based Approach for Sparse Portfolio Selection
2010 Di Lorenzo, D.; Liuzzi, G. Rinaldi, F.; Schoen, F.; Sciandrone, M.
Decomposition Algorithms for Generalized Potential Games
2010 Facchinei, F; Piccialli, V.; Sciandrone, M.
Feature selection combining linear support vector machines and concave optimization
2010 Rinaldi, F; Sciandrone, M
Machine learning for global optimization
2010 Cassioli, A; Di Lorenzo, D; Locatelli, M; Schoen, F; Sciandrone, M
Real time epileptic seizure prediction using AR models and Support Vector Machines
2010 Chisci, L.; Mavino, A.; Perferi, G.; Sciandrone, M.; Anile, C.; Colicchio, G.; Fuggetta, F.
Sequential penalty derivative-free methods for nonlinear constrained optimization
2010 Liuzzi, G.; Lucidi, S.; Sciandrone, M.
Sequention penalty derivative-free methods for non-linear constrained optimization
2008 Liuzzi, G; Lucidi, S; Sciandrone, M
Sequention penalty derivative-free methods for non-linear constrained optimization
2008 Liuzzi, G; Lucidi, S; Sciandrone, M
A convergent decomposition algorithm for support vector machines
2007 Lucidi, S; Palagi, L; Risi, A; Sciandrone, M
A convergent hybrid decomposition algorithm model for SVM training
2007 Lucidi, S; Palagi, L; Risi, A; Sciandrone, M
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A unified convergence framework for nonmonotone inexact decomposition methods | 1-gen-2020 | Galli L.; Galligari A.; Sciandrone M. | |
| An Alternating Augmented Lagrangian method for constrained nonconvex optimization | 1-gen-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) | 1-gen-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 | |
| Nonlinear optimization and support vector machines | 1-gen-2018 | Piccialli, V; Sciandrone, M | |
| Decomposition Techniques for Multi Layer Perceptrons Training | 1-gen-2016 | Grippo, L; Manno, A; Sciandrone, M | |
| Intracranial pressure wave morphological classification: automated analysis and clinical validation | 1-gen-2016 | Nucci Carlotta, Ginevra; De Bonis, Pasquale; Mangiola, Annunziato; Santini, Pietro; Sciandrone, Marco; Risi, Arnaldo; Anile, Carmelo | |
| A convergent and efficient decomposition method for the traffic assignment problem | 1-gen-2014 | Di Lorenzo, D; Galligari, A; Sciandrone, M | |
| An incremental decomposition method for unconstrained optimization | 1-gen-2014 | Bravi, Luca; Sciandrone, Marco | |
| An incremental least squares algorithm for large scale linear classification | 1-gen-2013 | Cassioli, A.; Chiavaioli, A.; Manes, C.; Sciandrone, M. | |
| A concave optimization-based approach for sparse portfolio selection | 1-gen-2012 | Di Lorenzo, D.; Liuzzi, G.; Rinaldi, F.; Schoen, F.; Sciandrone, M. | |
| A Concave Optimization-Based Approach for Sparse Portfolio Selection | 1-gen-2010 | Di Lorenzo, D.; Liuzzi, G. Rinaldi, F.; Schoen, F.; Sciandrone, M. | |
| Decomposition Algorithms for Generalized Potential Games | 1-gen-2010 | Facchinei, F; Piccialli, V.; Sciandrone, M. | |
| Feature selection combining linear support vector machines and concave optimization | 1-gen-2010 | Rinaldi, F; Sciandrone, M | |
| Machine learning for global optimization | 1-gen-2010 | Cassioli, A; Di Lorenzo, D; Locatelli, M; Schoen, F; Sciandrone, M | |
| Real time epileptic seizure prediction using AR models and Support Vector Machines | 1-gen-2010 | Chisci, L.; Mavino, A.; Perferi, G.; Sciandrone, M.; Anile, C.; Colicchio, G.; Fuggetta, F. | |
| Sequential penalty derivative-free methods for nonlinear constrained optimization | 1-gen-2010 | Liuzzi, G.; Lucidi, S.; Sciandrone, M. | |
| Sequention penalty derivative-free methods for non-linear constrained optimization | 1-gen-2008 | Liuzzi, G; Lucidi, S; Sciandrone, M | |
| Sequention penalty derivative-free methods for non-linear constrained optimization | 1-gen-2008 | Liuzzi, G; Lucidi, S; Sciandrone, M | |
| A convergent decomposition algorithm for support vector machines | 1-gen-2007 | Lucidi, S; Palagi, L; Risi, A; Sciandrone, M | |
| A convergent hybrid decomposition algorithm model for SVM training | 1-gen-2007 | Lucidi, S; Palagi, L; Risi, A; Sciandrone, M |