| A two-stage active-set algorithm for bound-constrained optimization A Cristofari, M De Santis, S Lucidi, F Rinaldi Journal of Optimization Theory and Applications 172, 369-401, 2017 | 32 | 2017 |
| Total variation based community detection using a nonlinear optimization approach A Cristofari, F Rinaldi, F Tudisco SIAM Journal on Applied Mathematics 80 (3), 1392-1419, 2020 | 17 | 2020 |
| An active-set algorithmic framework for non-convex optimization problems over the simplex A Cristofari, M De Santis, S Lucidi, F Rinaldi Computational Optimization and Applications 77, 57-89, 2020 | 13 | 2020 |
| Design optimization of synchronous reluctance motor for low torque ripple A Credo, A Cristofari, S Lucidi, F Rinaldi, F Romito, M Santececca, ... A View of Operations Research Applications in Italy, 2018, 53-69, 2019 | 13 | 2019 |
| An almost cyclic 2-coordinate descent method for singly linearly constrained problems A Cristofari Computational Optimization and Applications 73 (2), 411-452, 2019 | 11 | 2019 |
| On global minimizers of quadratic functions with cubic regularization A Cristofari, T Dehghan Niri, S Lucidi Optimization Letters 13, 1269-1283, 2019 | 10 | 2019 |
| A derivative-free method for structured optimization problems A Cristofari, F Rinaldi SIAM Journal on Optimization 31 (2), 1079-1107, 2021 | 9 | 2021 |
| A Variance-aware Multiobjective Louvain-like Method for Community Detection in Multiplex Networks S Venturini, A Cristofari, F Rinaldi, F Tudisco Journal of Complex Networks, 2022 | 6* | 2022 |
| Active-set identification with complexity guarantees of an almost cyclic 2-coordinate descent method with Armijo line search A Cristofari SIAM Journal on Optimization 32 (2), 739-764, 2022 | 6 | 2022 |
| Learning the right layers a data-driven layer-aggregation strategy for semi-supervised learning on multilayer graphs S Venturini, A Cristofari, F Rinaldi, F Tudisco International Conference on Machine Learning, 35006-35023, 2023 | 4 | 2023 |
| Machine learning-based classification to disentangle EEG responses to TMS and auditory input A Cristofari, M De Santis, S Lucidi, J Rothwell, EP Casula, L Rocchi Brain Sciences 13 (6), 866, 2023 | 4 | 2023 |
| New active-set Frank-Wolfe variants for minimization over the simplex and the ℓ1-ball A Cristofari, M De Santis, S Lucidi, F Rinaldi arXiv preprint arXiv:1703.07761, 2017 | 4 | 2017 |
| Estimation of PAHs concentration fields in an urban area by means of Support Vector Machines A Pelliccioni, A Cristofari, C Silibello, M Gherardi, A Cecinato, M Lamberti Proceedings of the 7th International Congress on Environmental Modelling and …, 2014 | 4 | 2014 |
| Minimization over the ℓ1-ball using an active-set non-monotone projected gradient A Cristofari, M De Santis, S Lucidi, F Rinaldi Computational Optimization and Applications, 1-29, 2022 | 3 | 2022 |
| Data filtering for cluster analysis by ℓ0-norm regularization A Cristofari Optimization Letters 11 (8), 1527-1546, 2017 | 3 | 2017 |
| PAHs urban concentrations maps using support vector machines A Pelliccioni, A Cristofari, M Lamberti, C Gariazzo International Journal of Environment and Pollution 61 (1), 1-12, 2017 | 3 | 2017 |
| An augmented Lagrangian method exploiting an active-set strategy and second-order information A Cristofari, G Di Pillo, G Liuzzi, S Lucidi Journal of Optimization Theory and Applications, 1-24, 2022 | 2 | 2022 |
| Pahs urban concentrations maps using support vector machine P Armando, A Cristofari, L Mafalda, G Claudio HARMO 2014-16th International Conference on Harmonisation within Atmospheric …, 2014 | 2 | 2014 |
| A decomposition method for lasso problems with zero-sum constraint A Cristofari European Journal of Operational Research 306 (1), 358-369, 2023 | 1 | 2023 |
| Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent S Venturini, A Cristofari, F Rinaldi, F Tudisco EURO Journal on Computational Optimization 11, 100079, 2023 | 1 | 2023 |
