Condition Monitoring of Electro-Mechanical Actuators for Aerospace Using Batch Change Detection Algorithms. - Mirko Mazzoleni; Matteo Scandella; Yamuna Maccarana; Fabio Previdi; Giulio Pispola; Nicola Porzi (CCTA, 2018)

Classification of Light Charged Particles Via Learning-Based System Identification. - Mirko Mazzoleni; Matteo Scandella; Simone Formentin; Fabio Previdi (CDC, 2018)

Semi-supervised learning of dynamical systems: a preliminary study. - Mirko Mazzoleni; Simone Formentin; Matteo Scandella; Fabio Previdi (ECC, 2018)

Development and Experimental Testing of a Health Monitoring System of Electro-Mechanical Actuators for Small Airplanes. - Fabio Previdi; Yamuna Maccarana; Mirko Mazzoleni; Matteo Scandella; Giulio Pispola; Nicola Porzi (MED, 2018)

Experimental Development of a Health Monitoring Method for Electro-Mechanical Actuators of Flight Control Primary Surfaces in More Electric Aircrafts. - Mirko Mazzoleni; Fabio Previdi; Matteo Scandella; Giulio Pispola (IEEE Access, 2019)

Nonlinear system identification via data augmentation. - Simone Formentin; Mirko Mazzoleni; Matteo Scandella; Fabio Previdi (Syst. Control. Lett., 2019)

Enhanced kernels for nonparametric identification of a class of nonlinear systems. - Mirko Mazzoleni; Matteo Scandella; Simone Formentin; Fabio Previdi (ECC, 2020)

Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach. - Mirko Mazzoleni; Matteo Scandella; Simone Formentin; Fabio Previdi (L4DC, 2020)

Traffic-Light Control at Urban Intersections Using Expected Waiting-Time Information. - Arnob Ghosh; Matteo Scandella; Michelangelo Bin; Thomas Parisini (CDC, 2021)

A Note on the Numerical Solutions of Kernel-Based Learning Problems. - Matteo Scandella; Mirko Mazzoleni; Simone Formentin; Fabio Previdi (IEEE Trans. Autom. Control., 2021)

Group-Based Dimensionality Reduction and Estimation for Heterogeneous Large-Scale Traffic Networks. - Matteo Scandella; Michelangelo Bin; Thomas Parisini (ECC, 2022)

Kernel-based system identification with manifold regularization: A Bayesian perspective. - Mirko Mazzoleni; Alessandro Chiuso; Matteo Scandella; Simone Formentin; Fabio Previdi (Autom., 2022)

Kernel-based identification of asymptotically stable continuous-time linear dynamical systems. - Matteo Scandella; Mirko Mazzoleni; Simone Formentin; Fabio Previdi (Int. J. Control, 2022)

Kernel-Based Continuous-Time System Identification: A Parametric Approximation. - Matteo Scandella; Alessio Moreschini; Thomas Parisini (CDC, 2023)

Non-Convex Learning with Guaranteed Convergence: Perspectives on Stochastic Optimal Control. - Alessio Moreschini; Matteo Scandella; Thomas Parisini (CDC, 2024)

SelfMPC: Automated Data-Driven MPC Design for a Class of Nonlinear Systems. - Guitao Yang; Matteo Scandella; Simone Formentin; Thomas Parisini (CDC, 2024)

Nonlinear Data-Driven Moment Matching in Reproducing Kernel Hilbert Spaces. - Alessio Moreschini; Matteo Scandella; Thomas Parisini (ECC, 2024)

Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach. - Guitao Yang; Matteo Scandella; Simone Formentin; Thomas Parisini (ECC, 2024)

Kernel-Based Learning of Stable Nonlinear Systems. - Matteo Scandella; Michelangelo Bin; Thomas Parisini (CoRR, 2024)

A graph learning approach for kernel-based system identification with manifold regularization. - Pietro Boni; Mirko Mazzoleni; Matteo Scandella; Fabio Previdi (J. Frankl. Inst., 2025)