Strong bounds for large-scale minimum sum-of-squares clustering

A.L. Croella, V. Piccialli, A.M. Sudoso

European Journal of Operational Research, 2026

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A scoping review on aging and cardiovascular diseases - Molecular mediators and artificial intelligence-based advanced diagnostic methods

A.M. Sudoso, L. Ciarpaglini, D. Scuppa, E. Trasatti, M. Sciandrone, L. Galiuto

International Journal of Cardiology, 2026

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Optimizing accuracy and diversity: a multi-task approach to forecast combinations

G. Felici, A.M. Sudoso

Annals of Operations Research, 2026

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Exact and Heuristic Algorithms for Constrained Biclustering

A.M. Sudoso

Computational Optimization and Applications, 2026

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A Column Generation Algorithm with Dynamic Constraint Aggregation for Minimum Sum-of-Squares Clustering

A.M. Sudoso, D. Aloise

INFORMS Journal on Computing, 2025

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Optimization meets machine learning: an exact algorithm for semi-supervised support vector machines

V. Piccialli, J. Schwiddessen, A.M. Sudoso

Mathematical Programming, 2024

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A Semidefinite Programming-Based Branch-and-Cut Algorithm for Biclustering

A.M. Sudoso

INFORMS Journal on Computing, 2024

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Fix and bound: an efficient approach for solving large-scale quadratic programming problems with box constraints

M. Locatelli, V. Piccialli, A.M. Sudoso

Mathematical Programming Computation, 2024

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Global optimization for cardinality-constrained minimum sum-of-squares clustering via semidefinite programming

V. Piccialli, A.M. Sudoso

Mathematical Programming, 2023

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An exact algorithm for semi-supervised minimum sum-of-squares clustering

A. Russo Russo, V. Piccialli, A.M. Sudoso

Computers & Operations Research, 2022

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SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering

V. Piccialli, A.M. Sudoso, A. Wiegele

INFORMS Journal on Computing, 2022

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Mixed-Integer Nonlinear Programming for State-based Non-Intrusive Load Monitoring

M. Balletti, V. Piccialli, A.M. Sudoso

IEEE Transactions on Smart Grid, 2022

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A machine learning approach for forecasting hierarchical time series

P. Mancuso, V. Piccialli, A.M. Sudoso

Expert Systems with Applications, 2021

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Improving Non-Intrusive Load Disaggregation through an Attention-based Deep Neural Network

V. Piccialli, A.M. Sudoso

Energies, 2021

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Beyond binarity: Semidefinite programming for ternary quadratic problems

F. de Meijer, V. Piccialli, R. Sotirov, A.M. Sudoso

arXiv, 2026

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Optimal Placement of Nature-Based Solutions for Urban Challenges

D.M. Pinto, D.D. Russo, A.M. Sudoso

arXiv, 2025

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Predicting financial distress in Italian municipalities: a machine learning approach enhanced by domain expertise 

D. Piermarini, A.M. Sudoso, V. Piccialli 

arXiv, 2024

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