| An augmented Lagrangian algorithm for multi-objective optimization G Cocchi, M Lapucci Computational Optimization and Applications 77 (1), 29-56, 2020 | 28 | 2020 |
| A limited memory Quasi-Newton approach for multi-objective optimization M Lapucci, P Mansueto Computational Optimization and Applications 85 (1), 33-73, 2023 | 20 | 2023 |
| 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 | 20 | 2019 |
| Pareto front approximation through a multi-objective augmented Lagrangian method G Cocchi, M Lapucci, P Mansueto EURO Journal on Computational Optimization 9, 100008, 2021 | 17 | 2021 |
| 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 | 12 | 2021 |
| 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 | 10 | 2021 |
| 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 | 10 | 2021 |
| Improved front steepest descent for multi-objective optimization M Lapucci, P Mansueto Operations Research Letters 51 (3), 242-247, 2023 | 9 | 2023 |
| 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 | 8 | 2022 |
| 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 | 8 | 2020 |
| A memetic procedure for global multi-objective optimization M Lapucci, P Mansueto, F Schoen Mathematical Programming Computation 15 (2), 227-267, 2023 | 7 | 2023 |
| 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 | 7 | 2019 |
| 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 | 5 | 2024 |
| 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 | 5 | 2023 |
| A penalty decomposition approach for multi-objective cardinality-constrained optimization problems M Lapucci Optimization Methods and Software 37 (6), 2157-2189, 2022 | 5 | 2022 |
| Inexact Penalty Decomposition Methods for Optimization Problems with Geometric Constraints C Kanzow, M Lapucci Computational Optimization and Applications 85, 937–971, 2023 | 4 | 2023 |
| 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 | 4 | 2021 |
| Theory and algorithms for sparsity constrained optimization problems M Lapucci, M Sciandrone | 3 | 2022 |
| 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 | 2 | 2023 |
| Improved Maximum Likelihood Estimation of ARMA Models L Di Gangi, M Lapucci, F Schoen, A Sortino Lobachevskii Journal of Mathematics 43 (9), 2433-2443, 2022 | 2 | 2022 |
Marco SciandroneProfessor of Operations Research, Sapienza University of Rome在 diag.uniroma1.it 的电子邮件经过验证
