LAPUCCI, MATTEO

LAPUCCI, MATTEO  

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Titolo Data di pubblicazione Autore(i) File
A limited memory Quasi-Newton approach for multi-objective optimization 2023 Lapucci Matteo; Mansueto Pierluigi
A memetic procedure for global multi-objective optimization 2023 Mansueto Pierluigi, Lapucci Matteo, Schoen Fabio
A penalty decomposition approach for multi-objective cardinality-constrained optimization problems 2022 Matteo Lapucci
A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization 2023 Civitelli, Enrico; Sortino, Alessio; Lapucci, Matteo; Bagattini, Francesco; Galvan, Giulio
A study on sequential minimal optimization methods for standard quadratic problems 2021 Bisori, Riccardo; Lapucci, Matteo; Sciandrone, Marco
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems 2021 Matteo Lapucci; Giulio Galvan; Marco Sciandrone; Chih-Jen Lin
A Unifying Framework for Sparsity-Constrained Optimization 2023 Lapucci, Matteo; Levato, Tommaso; Rinaldi, Francesco; Sciandrone, Marco
Advances in nonlinear optimization and equilibrium problems – Special Issue Editorial 2024 Lapucci, Matteo; Schoen, Fabio
An Alternating Augmented Lagrangian method for constrained nonconvex optimization 2020 Galvan, G.*; Lapucci, M.; Levato, T.; Sciandrone, M.
An augmented Lagrangian algorithm for multi-objective optimization 2020 Guido Cocchi; Matteo Lapucci
An effective procedure for feature subset selection in logistic regression based on information criteria 2021 Civitelli Enrico, Lapucci Matteo, Schoen Fabio, Sortino Alessio
An efficient optimization approach for best subset selection in linear regression, with application to model selection and fitting in autoregressive time-series 2019 Di Gangi, L; Lapucci, M; Schoen, F; Sortino, A
An Efficient Optimization Approach for Best Subset Selection in Linear Regression, with Application to Model Selection and Fitting in Autoregressive Time-Series 2019 Leonardo Di Gangi, Matteo Lapucci, Fabio Schoen, Alessio Sortino
Can machine learning models support physicians in systemic lupus erythematosus diagnosis? Results from a monocentric cohort. 2021 Fulvia Ceccarelli; Matteo Lapucci; Giulio Olivieri; Alessio Sortino; Francesco Natalucci; Francesca Romana Spinelli; Cristiano Alessandri; Marco Sciandrone; Fabrizio Conti
Cardinality-Constrained Multi-objective Optimization: Novel Optimality Conditions and Algorithms 2024 Matteo Lapucci; Pierluigi Mansueto
Comprehensive disease control in systemic lupus erythematosus 2021 Ceccarelli F.; Olivieri G.; Sortino A.; Dominici L.; Arefayne F.; Celia A.I.; Cipriano E.; Garufi C.; Lapucci M.; Mancuso S.; Natalucci F.; Orefice V.; Perricone C.; Pirone C.; Pacucci V.A.; Spinelli F.R.; Truglia S.; Alessandri C.; Sciandrone M.; Conti F.
Convergence and complexity guarantees for a wide class of descent algorithms in nonconvex multi-objective optimization 2024 Lapucci, Matteo
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems 2020 Matteo Lapucci; Tommaso Levato; Marco Sciandrone
Improved front steepest descent for multi-objective optimization 2023 Lapucci, Matteo; Mansueto, Pierluigi
Improved Maximum Likelihood Estimation of ARMA Models 2022 matteo lapucci; fabio schoen; alessio sortino; Leonardo Di Gangi ;