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Matteo Lapucci
Titolo
Citata da
Citata da
Anno
An augmented Lagrangian algorithm for multi-objective optimization
G Cocchi, M Lapucci
Computational Optimization and Applications 77 (1), 29-56, 2020
192020
An efficient optimization approach for best subset selection in linear regression, with application to model selection and fitting in autoregressive time-series
LD Gangi, M Lapucci, F Schoen, A Sortino
Computational Optimization and Applications 74 (3), 919-948, 2019
192019
Convergent inexact penalty decomposition methods for cardinality-constrained problems
M Lapucci, T Levato, M Sciandrone
Journal of Optimization Theory and Applications 188, 473-496, 2021
112021
Pareto front approximation through a multi-objective augmented Lagrangian method
G Cocchi, M Lapucci, P Mansueto
EURO Journal on Computational Optimization 9, 100008, 2021
112021
A limited memory Quasi-Newton approach for multi-objective optimization
M Lapucci, P Mansueto
Computational Optimization and Applications 85 (1), 33-73, 2023
102023
Comprehensive disease control in systemic lupus erythematosus
F Ceccarelli, G Olivieri, A Sortino, L Dominici, F Arefayne, AI Celia, ...
Seminars in Arthritis and Rheumatism 51 (2), 404-408, 2021
102021
An effective procedure for feature subset selection in logistic regression based on information criteria
E Civitelli, M Lapucci, F Schoen, A Sortino
Computational Optimization and Applications 80 (1), 1-32, 2021
92021
Can machine learning models support physicians in systemic lupus erythematosus diagnosis? Results from a monocentric cohort
F Ceccarelli, M Lapucci, G Olivieri, A Sortino, F Natalucci, FR Spinelli, ...
Joint Bone Spine 89 (3), 2022
72022
An alternating augmented Lagrangian method for constrained nonconvex optimization
G Galvan, M Lapucci, T Levato, M Sciandrone
Optimization Methods and Software 35 (3), 502-520, 2020
72020
A memetic procedure for global multi-objective optimization
M Lapucci, P Mansueto, F Schoen
Mathematical Programming Computation 15 (2), 227-267, 2023
6*2023
Improved front steepest descent for multi-objective optimization
M Lapucci, P Mansueto
Operations Research Letters 51 (3), 242-247, 2023
62023
A penalty decomposition approach for multi-objective cardinality-constrained optimization problems
M Lapucci
Optimization Methods and Software 37 (6), 2157-2189, 2022
52022
A unifying framework for sparsity-constrained optimization
M Lapucci, T Levato, F Rinaldi, M Sciandrone
Journal of Optimization Theory and Applications 199 (2), 663-692, 2023
42023
Inexact Penalty Decomposition Methods for Optimization Problems with Geometric Constraints
C Kanzow, M Lapucci
Computational Optimization and Applications 85, 937–971, 2023
42023
On the convergence of inexact augmented Lagrangian methods for problems with convex constraints
G Galvan, M Lapucci
Operations Research Letters 47 (3), 185-189, 2019
42019
Theory and algorithms for sparsity constrained optimization problems
M Lapucci, M Sciandrone
32022
A two-level decomposition framework exploiting first and second order information for SVM training problems
G Galvan, M Lapucci, CJ Lin, M Sciandrone
Journal of Machine Learning Research 22 (23), 1-38, 2021
32021
Integrated task scheduling and personnel rostering of airports ground staff: A case study
P Cappanera, L Di Gangi, M Lapucci, G Pellegrini, M Roma, F Schoen, ...
Expert Systems with Applications 238, 121953, 2024
22024
A robust initialization of residual blocks for effective resnet training without batch normalization
E Civitelli, A Sortino, M Lapucci, F Bagattini, G Galvan
IEEE Transactions on Neural Networks and Learning Systems, 2023
22023
A study on sequential minimal optimization methods for standard quadratic problems
R Bisori, M Lapucci, M Sciandrone
4OR 20 (4), 685-712, 2022
12022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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