PALAGI, LAURA

PALAGI, LAURA  

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Optimal Network Design for Municipal Waste Management: Application to the Metropolitan City of Rome 1-gen-2024 Boresta, M.; Croella, A. L.; Gentile, C.; Palagi, L.; Pinto, D. M.; Stecca, G.; Ventura, P.
Block layer decomposition schemes for training deep neural networks 1-gen-2020 Palagi, Laura; Seccia, Ruggiero
Branching with hyperplanes in the criterion space: The frontier partitioner algorithm for biobjective integer programming 1-gen-2020 De Santis, Marianna; Grani, Giorgio; Palagi, Laura
Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis 1-gen-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 1-gen-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 1-gen-2019 Palagi, Laura; Sciubba, Enrico; Tocci, Lorenzo
Global optimization issues in deep network regression: an overview 1-gen-2019 Palagi; Laura
SpeeDP: An algorithm to compute SDP bounds for very large Max-Cut instances 1-gen-2011 Grippo, L; Palagi, L; Piacentini, M; Piccialli, V; Rinaldi, G
A truncated Newton method in an augmented Lagrangian framework for nonlinear programming 1-gen-2010 Di Pillo, G.; Liuzzi, G.; Lucidi, S.; Palagi, L.
Computational approaches to Max-Cut 1-gen-2010 Palagi, L; Piccialli, V; Rendl, F; Rinaldi, G; Wiegele, A
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
A decomposition algorithm model for singly linearly constrained problems subject to lower and upper bounds 1-gen-2007 ChihJen Lin; Lucidi, S.; Palagi, L.; Risi, A.; Sciandrone, M.
A Truncated Newton Method in an Augmented Lagrangian Framework for Nonlinear Programming 1-gen-2007 Di Pillo, G; Liuzzi, G; Lucidi, S; Palagi, L
On the convergence of hybrid decomposition methods for SVM training 1-gen-2006 Lucidi, S; Palagi, L; Risi, A; Sciandrone, M
Convergence to 2nd order stationary points of a primal-dual algorithm model for nonlinear programming 1-gen-2005 Di Pillo, G; Lucidi, S; Palagi, L
On the convergence of a modified version of the SVMlight algorithm 1-gen-2005 Palagi, L; Sciandrone, M
Quartic formulation of standard quadratic optimization 1-gen-2005 Bomze, I; Palagi, L
A convergent decomposition algorithm for support vector machines 1-gen-2004 Lucidi, S; Palagi, L; Risi, A; Sciandrone, M
On the convergence of decomposition methods for linearly constrained optimization 1-gen-2003 Lucidi, S.; Palagi, L.; Sciandrone, M.