| Improving non-intrusive load disaggregation through an attention-based deep neural network V Piccialli, AM Sudoso Energies 14 (4), 847, 2021 | 105 | 2021 |
| A machine learning approach for forecasting hierarchical time series P Mancuso, V Piccialli, AM Sudoso Expert Systems with Applications 182, 115102, 2021 | 72 | 2021 |
| Mixed-integer nonlinear programming for state-based non-intrusive load monitoring M Balletti, V Piccialli, AM Sudoso IEEE Transactions on Smart Grid 13 (4), 3301-3314, 2022 | 35 | 2022 |
| SOS-SDP: an exact solver for minimum sum-of-squares clustering V Piccialli, AM Sudoso, A Wiegele INFORMS Journal on Computing 34 (4), 2144-2162, 2022 | 33 | 2022 |
| An exact algorithm for semi-supervised minimum sum-of-squares clustering V Piccialli, AR Russo, AM Sudoso Computers & Operations Research 147, 105958, 2022 | 14 | 2022 |
| Global optimization for cardinality-constrained minimum sum-of-squares clustering via semidefinite programming V Piccialli, AM Sudoso Mathematical Programming, 1-35, 2023 | 4 | 2023 |
| Optimization meets machine learning: an exact algorithm for semi-supervised support vector machines V Piccialli, J Schwiddessen, AM Sudoso Mathematical Programming, 1-43, 2024 | 1 | 2024 |
| Fix and bound: an efficient approach for solving large-scale quadratic programming problems with box constraints M Locatelli, V Piccialli, AM Sudoso Mathematical Programming Computation, 1-33, 2024 | 1 | 2024 |
| A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering AM Sudoso, D Aloise arXiv preprint arXiv:2410.06187, 2024 | 1 | 2024 |
| Predicting municipalities in financial distress: a machine learning approach enhanced by domain expertise D Piermarini, AM Sudoso, V Piccialli arXiv preprint arXiv:2302.05780, 2023 | 1 | 2023 |
| Optimal Placement of Nature-Based Solutions for Urban Challenges DM Pinto, DD Russo, AM Sudoso arXiv preprint arXiv:2502.11065, 2025 | | 2025 |
| Strong bounds for large-scale Minimum Sum-of-Squares Clustering AL Croella, V Piccialli, AM Sudoso arXiv preprint arXiv:2502.08397, 2025 | | 2025 |
| A Semidefinite Programming-Based Branch-and-Cut Algorithm for Biclustering AM Sudoso INFORMS Journal on Computing, 2024 | | 2024 |
| Optimizing accuracy and diversity: a multi-task approach to forecast combinations G Felici, AM Sudoso arXiv preprint arXiv:2310.20545, 2023 | | 2023 |
| An Exact SDP based Approach for Semi-Supervised Support Vector Machines AM Sudoso | | |
| Global Optimization for Machine Learning Applications AM Sudoso PhD Thesis - University of Rome Tor Vergata, 0 | | |
Veronica PiccialliProfessore, Dipartimento di Ingegneria Informatica, Automatica e Gestionale Antonio RubertiVahvistettu sähköpostiosoite verkkotunnuksessa uniroma1.it