| 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 |
| Injury risk assessment based on pre-crash variables: The role of closing velocity and impact eccentricity MS Gulino, L Di Gangi, A Sortino, D Vangi Accident Analysis & Prevention 150, 105864, 2021 | 13 | 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 |
| 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 | 9 | 2021 |
| 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 | 7 | 2022 |
| 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 | 2 | 2024 |
| 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 |
| On the Convergence of Inexact Alternate Minimization in Problems with ℓ0 Penalties M Lapucci, A Sortino | | 2024 |
| 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 | | 2022 |
| On the Exploitation of Sparsity in Regression and Global Optimization Models A Sortino | | 2022 |
| An Efficient Optimization Approach for Subset Selection, with Application to Linear Regression and Auto-Regressive Time Series L Di Gangi, M Lapucci, F Schoen, A Sortino | | |
Matteo LapucciRTD/A, University of Florence (Italy)Email verificata su unifi.it
