Improving non-intrusive load disaggregation through an attention-based deep neural network V Piccialli, AM Sudoso Energies 14 (4), 847, 2021 | 85 | 2021 |
A machine learning approach for forecasting hierarchical time series P Mancuso, V Piccialli, AM Sudoso Expert Systems with Applications 182, 115102, 2021 | 46 | 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 | 25 | 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 | 23 | 2022 |
An exact algorithm for semi-supervised minimum sum-of-squares clustering V Piccialli, AR Russo, AM Sudoso Computers & Operations Research 147, 105958, 2022 | 8 | 2022 |
An SDP-based Branch-and-Cut Algorithm for Biclustering AM Sudoso arXiv preprint arXiv:2403.11351, 2024 | 1 | 2024 |
Global optimization for cardinality-constrained minimum sum-of-squares clustering via semidefinite programming V Piccialli, AM Sudoso Mathematical Programming, 1-35, 2023 | 1 | 2023 |
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 |
Optimization meets Machine Learning: An Exact Algorithm for Semi-Supervised Support Vector Machines V Piccialli, J Schwiddessen, AM Sudoso arXiv preprint arXiv:2312.09789, 2023 | | 2023 |
Optimizing accuracy and diversity: a multi-task approach to forecast combinations G Felici, AM Sudoso arXiv preprint arXiv:2310.20545, 2023 | | 2023 |
Fix and Bound: An efficient approach for solving large-scale quadratic programming problems with box constraints M Locatelli, V Piccialli, AM Sudoso arXiv preprint arXiv:2211.08911, 2022 | | 2022 |
Global Optimization for Machine Learning Applications AM Sudoso PhD Thesis - University of Rome Tor Vergata, 0 | | |