PALAGI, LAURA
PALAGI, LAURA
Block layer decomposition schemes for training deep neural networks
2020 Palagi, Laura; Seccia, Ruggiero
Branching with hyperplanes in the criterion space: The frontier partitioner algorithm for biobjective integer programming
2020 De Santis, Marianna; Grani, Giorgio; Palagi, Laura
Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis
2020 Seccia, R.; Gammelli, D.; Dominici, F.; Romano, S.; Landi, A. C.; Salvetti, M.; Tacchella, A.; Zaccaria, A.; Crisanti, A.; Grassi, F.; Palagi, L.
Data of patients undergoing rehabilitation programs
2020 Seccia, Ruggiero; Boresta, Marco; Fusco, Federico; Tronci, Edoardo; Di Gemma, Emanuele; Palagi, Laura; Mangone, Massimiliano; Agostini, Francesco; Bernetti, Andrea; Santilli, Valter; Damiani, Carlo; Goffredo, Michela; Franceschini, Marco
A neural network approach to the combined multi-objective optimization of the thermodynamic cycle and the radial inflow turbine for Organic Rankine cycle applications
2019 Palagi, Laura; Sciubba, Enrico; Tocci, Lorenzo
Global optimization issues in deep network regression: an overview
2019 Palagi; Laura
SpeeDP: An algorithm to compute SDP bounds for very large Max-Cut instances
2011 Grippo, L; Palagi, L; Piacentini, M; Piccialli, V; Rinaldi, G
A truncated Newton method in an augmented Lagrangian framework for nonlinear programming
2010 Di Pillo, G.; Liuzzi, G.; Lucidi, S.; Palagi, L.
Computational approaches to Max-Cut
2010 Palagi, L; Piccialli, V; Rendl, F; Rinaldi, G; Wiegele, A
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
A decomposition algorithm model for singly linearly constrained problems subject to lower and upper bounds
2007 ChihJen Lin; Lucidi, S.; Palagi, L.; Risi, A.; Sciandrone, M.
A Truncated Newton Method in an Augmented Lagrangian Framework for Nonlinear Programming
2007 Di Pillo, G; Liuzzi, G; Lucidi, S; Palagi, L
On the convergence of hybrid decomposition methods for SVM training
2006 Lucidi, S; Palagi, L; Risi, A; Sciandrone, M
Convergence to 2nd order stationary points of a primal-dual algorithm model for nonlinear programming
2005 Di Pillo, G; Lucidi, S; Palagi, L
On the convergence of a modified version of the SVMlight algorithm
2005 Palagi, L; Sciandrone, M
Quartic formulation of standard quadratic optimization
2005 Bomze, I; Palagi, L
A convergent decomposition algorithm for support vector machines
2004 Lucidi, S; Palagi, L; Risi, A; Sciandrone, M
On the convergence of decomposition methods for linearly constrained optimization
2003 Lucidi, S.; Palagi, L.; Sciandrone, M.
Quartic formulation of standard quadratic optimization problems
2003 Bomze, Mi; Palagi, L