On the convergence of the block nonlinear Gauss-Seidel method under convex constraints. - Luigi Grippo; Marco Sciandrone (Oper. Res. Lett., 2000)

Convergent Decomposition Techniques for Training RBF Neural Networks. - C. Buzzi; Luigi Grippo; Marco Sciandrone (Neural Comput., 2001)

Efficient training of RBF neural networks for pattern recognition. - Francesco Lampariello; Marco Sciandrone (IEEE Trans. Neural Networks, 2001)

Nonmonotone Globalization Techniques for the Barzilai-Borwein Gradient Method. - Luigi Grippo; Marco Sciandrone (Comput. Optim. Appl., 2002)

A Derivative-Free Algorithm for Bound Constrained Optimization. - Stefano Lucidi; Marco Sciandrone (Comput. Optim. Appl., 2002)

Objective-derivative-free methods for constrained optimization. - Stefano Lucidi; Marco Sciandrone; Paul Tseng (Math. Program., 2002)

On the Global Convergence of Derivative-Free Methods for Unconstrained Optimization. - Stefano Lucidi; Marco Sciandrone (SIAM J. Optim., 2002)

On the convergence of a modified version of SVMlight algorithm. - Laura Palagi; Marco Sciandrone (Optim. Methods Softw., 2005)

An Algorithm Model for Mixed Variable Programming. - Stefano Lucidi; Veronica Piccialli; Marco Sciandrone (SIAM J. Optim., 2005)

A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems. - Giovanni Fasano; Francesco Lampariello; Marco Sciandrone (Comput. Optim. Appl., 2006)

A Derivative-Free Algorithm for Linearly Constrained Finite Minimax Problems. - Giampaolo Liuzzi; Stefano Lucidi; Marco Sciandrone (SIAM J. Optim., 2006)

Nonmonotone derivative-free methods for nonlinear equations. - Luigi Grippo; Marco Sciandrone (Comput. Optim. Appl., 2007)

A convergent decomposition algorithm for support vector machines. - Stefano Lucidi; Laura Palagi; Arnaldo Risi; Marco Sciandrone (Comput. Optim. Appl., 2007)

A patient adaptable ECG beat classifier based on neural networks. - Andrea De Gaetano; Simona Panunzi; Francesco Rinaldi; Arnaldo Risi; Marco Sciandrone (Appl. Math. Comput., 2009)

A convergent decomposition method for box-constrained optimization problems. - Andrea Cassioli; Marco Sciandrone (Optim. Lett., 2009)

A Convergent Hybrid Decomposition Algorithm Model for SVM Training. - Stefano Lucidi; Laura Palagi; Arnaldo Risi; Marco Sciandrone (IEEE Trans. Neural Networks, 2009)

Concave programming for minimizing the zero-norm over polyhedral sets. - Francesco Rinaldi; Fabio Schoen; Marco Sciandrone (Comput. Optim. Appl., 2010)

Nonmonotone globalization of the finite-difference Newton-GMRES method for nonlinear equations. - Luigi Grippo; Marco Sciandrone (Optim. Methods Softw., 2010)

Feature selection combining linear support vector machines and concave optimization. - Francesco Rinaldi; Marco Sciandrone (Optim. Methods Softw., 2010)

Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization. - Giampaolo Liuzzi; Stefano Lucidi; Marco Sciandrone (SIAM J. Optim., 2010)

Real-Time Epileptic Seizure Prediction Using AR Models and Support Vector Machines. - Luigi Chisci; Antonio Mavino; Guido Perferi; Marco Sciandrone; Carmelo Anile; Gabriella Colicchio; Filomena Fuggetta (IEEE Trans. Biomed. Eng., 2010)

Decomposition algorithms for generalized potential games. - Francisco Facchinei; Veronica Piccialli; Marco Sciandrone (Comput. Optim. Appl., 2011)

Machine learning for global optimization. - Andrea Cassioli; David Di Lorenzo; Marco Locatelli 001; Fabio Schoen; Marco Sciandrone (Comput. Optim. Appl., 2012)

A concave optimization-based approach for sparse portfolio selection. - David Di Lorenzo; Giampaolo Liuzzi; Francesco Rinaldi; Fabio Schoen; Marco Sciandrone (Optim. Methods Softw., 2012)

An incremental least squares algorithm for large scale linear classification. - Andrea Cassioli; A. Chiavaioli; Costanzo Manes; Marco Sciandrone (Eur. J. Oper. Res., 2013)

On the convergence of inexact block coordinate descent methods for constrained optimization. - Andrea Cassioli; David Di Lorenzo; Marco Sciandrone (Eur. J. Oper. Res., 2013)

An incremental decomposition method for unconstrained optimization. - Luca Bravi; Marco Sciandrone (Appl. Math. Comput., 2014)

A convergent inexact solution method for equilibrium problems. - David Di Lorenzo; Mauro Passacantando; Marco Sciandrone (Optim. Methods Softw., 2014)

On the use of iterative methods in cubic regularization for unconstrained optimization. - Tommaso Bianconcini; Giampaolo Liuzzi; Benedetta Morini; Marco Sciandrone (Comput. Optim. Appl., 2015)

A convergent and efficient decomposition method for the traffic assignment problem. - David Di Lorenzo; Alessandro Galligari; Marco Sciandrone (Comput. Optim. Appl., 2015)

A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques. - Tommaso Bianconcini; Marco Sciandrone (Optim. Methods Softw., 2016)

Decomposition Techniques for Multilayer Perceptron Training. - Luigi Grippo; Andrea Manno; Marco Sciandrone (IEEE Trans. Neural Networks Learn. Syst., 2016)

An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems. - Luca Bravi; Veronica Piccialli; Marco Sciandrone (IEEE Trans. Neural Networks Learn. Syst., 2017)

Nonlinear optimization and support vector machines. - Veronica Piccialli; Marco Sciandrone (4OR, 2018)

An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints. - Guido Cocchi; Giampaolo Liuzzi; Anthony Papini; Marco Sciandrone (Comput. Optim. Appl., 2018)

A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties. - Leonardo Galli; Christian Kanzow; Marco Sciandrone (Comput. Optim. Appl., 2018)

Scheduling the Italian National Volleyball Tournament. - Guido Cocchi; Alessandro Galligari; Federica Picca Nicolino; Veronica Piccialli; Fabio Schoen; Marco Sciandrone (Interfaces, 2018)

A convergent and fast path equilibration algorithm for the traffic assignment problem. - Alessandro Galligari; Marco Sciandrone (Optim. Methods Softw., 2018)

A computational study of path-based methods for optimal traffic assignment with both inelastic and elastic demand. - Alessandro Galligari; Marco Sciandrone (Comput. Oper. Res., 2019)

On the convergence of steepest descent methods for multiobjective optimization. - Guido Cocchi; Giampaolo Liuzzi; Stefano Lucidi; Marco Sciandrone (Comput. Optim. Appl., 2020)

A unified convergence framework for nonmonotone inexact decomposition methods. - Leonardo Galli; Alessandro Galligari; Marco Sciandrone (Comput. Optim. Appl., 2020)

A concave optimization-based approach for sparse multiobjective programming. - Guido Cocchi; Tommaso Levato; Giampaolo Liuzzi; Marco Sciandrone (Optim. Lett., 2020)

An Alternating Augmented Lagrangian method for constrained nonconvex optimization. - Giulio Galvan; Matteo Lapucci; Tommaso Levato; Marco Sciandrone (Optim. Methods Softw., 2020)

A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints. - Giulio Galvan; Marco Sciandrone; Stefano Lucidi (Comput. Optim. Appl., 2021)

A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems. - Giulio Galvan; Matteo Lapucci; Chih-Jen Lin; Marco Sciandrone (J. Mach. Learn. Res., 2021)

Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems. - Matteo Lapucci; Tommaso Levato; Marco Sciandrone (J. Optim. Theory Appl., 2021)

A study on sequential minimal optimization methods for standard quadratic problems. - Riccardo Bisori; Matteo Lapucci; Marco Sciandrone (4OR, 2022)

A Unifying Framework for Sparsity-Constrained Optimization. - Matteo Lapucci; Tommaso Levato; Francesco Rinaldi; Marco Sciandrone (J. Optim. Theory Appl., 2023)