Fault Detection via modified Principal Direction Divisive Partitioning and application to aerospace electro-mechanical actuators. - Mirko Mazzoleni; Simone Formentin; Fabio Previdi; Sergio M. Savaresi (CDC, 2014)

Modeling and identification of an Electro-Hydraulic Actuator. - Alberto L. Cologni; Mirko Mazzoleni; Fabio Previdi (ICCA, 2016)

Low computational complexity control of a three-phases open-windings AC brushless motor. - Alberto L. Cologni; Mirko Mazzoleni; Fabio Previdi (IECON, 2016)

Development of a reliable electro-mechanical actuator for primary control surfaces in small aircrafts. - Mirko Mazzoleni; Yamuna Maccarana; Fabio Previdi; Giulio Pispola; M. Nardi; F. Perni; S. Toro (AIM, 2017)

Unsupervised learning of fundamental emotional states via word embeddings. - Mirko Mazzoleni; Gabriele Maroni; Fabio Previdi (SSCI, 2017)

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)

Classification algorithms analysis for brain-computer interface in drug craving therapy. - Mirko Mazzoleni; Fabio Previdi; Natale Salvatore Bonfiglio (Biomed. Signal Process. Control., 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)

A comparison of envelope and statistical analyses for bearing diagnosis in hot steel rolling mill lines. - Kisan Sarda; Antonio Acernese; Luigi Russo 002; Mirko Mazzoleni (IECON, 2021)

Inertial load classification of low-cost electro-mechanical systems under dataset shift with fast end of line testing. - Nicholas Valceschini; Mirko Mazzoleni; Fabio Previdi (Eng. Appl. Artif. Intell., 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)

Visualizing Classification Results: Confusion Star and Confusion Gear. - Amalia Luque; Mirko Mazzoleni; Alejandro Carrasco; Antonio Ferramosca (IEEE Access, 2022)

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

An agent-based model to assess large-scale COVID-19 vaccination campaigns for the Italian territory: The case study of Lombardy region. - Andrea Cattaneo; Andrea Vitali; Mirko Mazzoleni; Fabio Previdi (Comput. Methods Programs Biomed., 2022)

A unified surrogate-based scheme for black-box and preference-based optimization. - Davide Previtali; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi (CoRR, 2022)

A kernel-based control approach for multi-period assets allocation based on lower partial moments. - Mirko Mazzoleni; Gabriele Maroni; Simone Formentin; Fabio Previdi (Eng. Appl. Artif. Intell., 2022)

A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes. - Mirko Mazzoleni; Kisan Sarda; Antonio Acernese; Luigi Russo 002; Leonardo Manfredi; Luigi Glielmo; Carmen Del Vecchio (Eng. Appl. Artif. Intell., 2022)

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

Model Uncertainty-Aware Residual Generators for SISO LTI Systems Based on Kernel Identification and Randomized Approaches. - Mirko Mazzoleni; Nicholas Valceschini; Fabio Previdi (CDC, 2023)

Notch Filter Design with Stability Guarantees for Mechanical Resonance Suppression in SISO LTI Two-Mass Drive Systems. - Giulia Sonzogni; Mirko Mazzoleni; Marco Polver; Antonio Ferramosca; Fabio Previdi (CDC, 2023)

Determining the Importance of Physicochemical Properties in the Perceived Quality of Wines. - Amalia Luque; Mirko Mazzoleni; Francisco Zamora-Polo; Antonio Ferramosca; Juan Ramón Lama; Fabio Previdi (IEEE Access, 2023)

GLISp-r: a preference-based optimization algorithm with convergence guarantees. - Davide Previtali; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi (Comput. Optim. Appl., 2023)

A meal detection approach based on parity space to detect untreated meals in subjects with Type 1 diabetes. - Paolo Alberto Mongini; Mirko Mazzoleni; Antonio Ferramosca; Lalo Magni; Chiara Toffanin (CDC, 2024)

The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines. - Amalia Luque; Mirko Mazzoleni; Ana de las Heras; Antonio Ferramosca; Fabio Previdi; Alejandro Carrasco (IEEE Access, 2024)

Design of supervision solutions for industrial equipment: Schemes, tools and guidelines for the user. - Mirko Mazzoleni (J. Ind. Inf. Integr., 2024)

Robust data-driven design of a jamming detection filter for airborne electromechanical actuators. - Pietro Boni; Mirko Mazzoleni; Fabio Previdi (Eur. J. Control, 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)

Use of artificial intelligence techniques in characterization of vibration signals for application in agri-food engineering. - Amalia Luque; Daniel Campos Olivares; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi; Alejandro Carrasco (Appl. Intell., 2025)

A virtual sensor fusion approach for state of charge estimation of lithium-ion cells. - Davide Previtali; Daniele Masti; Mirko Mazzoleni; Fabio Previdi (CoRR, 2025)