Publications

Submitted, accepted and published papers.

2024

  1. PREPRINT
    A column generation algorithm with dynamic constraint aggregation for minimum sum-of-squares clustering
    Sudoso, A. M., and Aloise, D.
    arXiv, 2024
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  2. PREPRINT
    An SDP-based Branch-and-Cut Algorithm for Biclustering
    Sudoso, A. M.
    arXiv, 2024
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  3. JOURNAL
    Fix and bound: an efficient approach for solving large-scale quadratic programming problems with box constraints
    Locatelli, M., Piccialli, V., and Sudoso, A. M.
    Mathematical Programming Computation, 2024
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2023

  1. PREPRINT
    Optimization meets Machine Learning: An Exact Algorithm for Semi-Supervised Support Vector Machines
    Piccialli, V., Schwiddessen, J., and Sudoso, A. M.
    arXiv, 2023
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  2. PREPRINT
    Optimizing accuracy and diversity: a multi-task approach to forecast combinations
    Felici, G., and Sudoso, A. M.
    arXiv, 2023
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  3. JOURNAL
    Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming
    Piccialli, V., and Sudoso, A. M.
    Mathematical Programming, 2023
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  4. PREPRINT
    Predicting municipalities in financial distress: a machine learning approach enhanced by domain expertise
    Piermarini, D., Sudoso, A. M., and Piccialli, V.
    arXiv, 2023
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2022

  1. JOURNAL
    An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering
    Piccialli, V., Russo Russo, A., and Sudoso, A. M.
    Computers & Operations Research, 2022
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  2. JOURNAL
    SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering
    Piccialli, V., Sudoso, A. M., and Wiegele, A.
    INFORMS Journal on Computing, 2022
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  3. JOURNAL
    Mixed-Integer Nonlinear Programming for State-based Non-Intrusive Load Monitoring
    Balletti, M., Piccialli, V., and Sudoso, A. M.
    IEEE Transactions on Smart Grid, 2022
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2021

  1. JOURNAL
    A Machine Learning Approach for Forecasting Hierarchical Time Series
    Mancuso, P., Piccialli, V., and Sudoso, A. M.
    Expert Systems with Applications, 2021
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  2. JOURNAL
    Improving Non-Intrusive Load Disaggregation through an Attention-based Deep Neural Network
    Piccialli, V., and Sudoso, A. M.
    Energies, 2021
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