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Antonio M. Sudoso
Antonio M. Sudoso
Dirección de correo verificada de uniroma1.it - Página principal
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Improving non-intrusive load disaggregation through an attention-based deep neural network
V Piccialli, AM Sudoso
Energies 14 (4), 847, 2021
852021
A machine learning approach for forecasting hierarchical time series
P Mancuso, V Piccialli, AM Sudoso
Expert Systems with Applications 182, 115102, 2021
482021
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
252022
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
232022
An exact algorithm for semi-supervised minimum sum-of-squares clustering
V Piccialli, AR Russo, AM Sudoso
Computers & Operations Research 147, 105958, 2022
82022
An SDP-based Branch-and-Cut Algorithm for Biclustering
AM Sudoso
arXiv preprint arXiv:2403.11351, 2024
12024
Global optimization for cardinality-constrained minimum sum-of-squares clustering via semidefinite programming
V Piccialli, AM Sudoso
Mathematical Programming, 1-35, 2023
12023
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
12023
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
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Artículos 1–12