Antonio Maria Sudoso

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Semidefinite Programming

Forecasting Model

Machine Learning

Financial Distress

Top Venues

Comput. Oper. Res.

IEEE Trans. Smart Grid

INFORMS J. Comput.

Publications

Antonio Maria Sudoso
An SDP-based Branch-and-Cut Algorithm for Biclustering. CoRR (2024)
Veronica Piccialli, Jan Schwiddessen, Antonio Maria Sudoso
Optimization meets Machine Learning: An Exact Algorithm for Semi-Supervised Support Vector Machines. CoRR (2023)
Dario Piermarini, Antonio Maria Sudoso, Veronica Piccialli
Predicting municipalities in financial distress: a machine learning approach enhanced by domain expertise. CoRR (2023)
Giovanni Felici, Antonio Maria Sudoso
Multi-task learning of convex combinations of forecasting models. CoRR (2023)
Veronica Piccialli, Antonio Maria Sudoso, Angelika Wiegele
SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering. INFORMS J. Comput. 34 (4) (2022)
Veronica Piccialli, Antonio Maria Sudoso
Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming. CoRR (2022)
Marco Balletti, Veronica Piccialli, Antonio Maria Sudoso
Mixed-Integer Nonlinear Programming for State-Based Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 13 (4) (2022)
Veronica Piccialli, Anna Russo Russo, Antonio Maria Sudoso
An exact algorithm for semi-supervised minimum sum-of-squares clustering. Comput. Oper. Res. 147 (2022)
Veronica Piccialli, Anna Russo Russo, Antonio Maria Sudoso
An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering. CoRR (2021)
Marco Balletti, Veronica Piccialli, Antonio Maria Sudoso
Mixed-Integer Nonlinear Programming for State-based Non-Intrusive Load Monitoring. CoRR (2021)
Paolo Mancuso, Veronica Piccialli, Antonio Maria Sudoso
A machine learning approach for forecasting hierarchical time series. Expert Syst. Appl. 182 (2021)
Paolo Mancuso, Veronica Piccialli, Antonio Maria Sudoso
A machine learning approach for forecasting hierarchical time series. CoRR (2020)
Antonio Maria Sudoso, Veronica Piccialli
Non-Intrusive Load Monitoring with an Attention-based Deep Neural Network. CoRR (2019)