Automated detection, extraction and counting of acne lesions for automatic evaluation and tracking of acne severity. - Gabriele Maroni; Michele Ermidoro; Fabio Previdi; Glauco Bigini (SSCI, 2017)

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

Stock Trading Via Feedback Control: an Extremum Seeking Approach. - Simone Formentin; Fabio Previdi; Gabriele Maroni; Claudio Cantaro (MED, 2018)

A Computer Vision Algorithm for the Estimation of the Human Hair Diameter. - Gabriele Maroni; Valerio Uberti; Simone Facheris; Fabio Previdi (RTSI, 2018)

A robust design strategy for stock trading via feedback control. - Gabriele Maroni; Simone Formentin; Fabio Previdi (ECC, 2019)

Partially Structured Robotic Picking for Automation of Tomato Transplantation. - I Yung; Yamuna Maccarana; Gabriele Maroni; Fabio Previdi (ICM, 2019)

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)

Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies. - Nicolò Rubattu; Gabriele Maroni; Giorgio Corani (AALTD@ECML/PKDD, 2023)

Split-Boost Neural Networks. - Raffaele Giuseppe Cestari; Gabriele Maroni; Loris Cannelli; Dario Piga; Simone Formentin (CoRR, 2023)

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. - Dario Piga; Matteo Rufolo; Gabriele Maroni; Manas Mejari; Marco Forgione (CDC, 2024)

Temperature-Dependent State of Charge Estimation for Electric Vehicles Based on a Machine Learning Approach. - Simone Barcellona; Loris Cannelli; Lorenzo Codecasa; Silvia Colnago; Loredana Cristaldi; Christian Laurano; Gabriele Maroni (MetroXRAINE, 2024)

LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides. - Gabriele Maroni; Filip Stojceski; Lorenzo Pallante; Marco Agostino Deriu; Dario Piga; Gianvito Grasso (CoRR, 2024)

Enhanced Transformer architecture for in-context learning of dynamical systems. - Matteo Rufolo; Dario Piga; Gabriele Maroni; Marco Forgione (CoRR, 2024)

Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus. - Gabriele Maroni; Loris Cannelli; Dario Piga (Eur. J. Control, 2025)

Capacity estimation of Lithium-ion batteries through a Machine Learning approach. - Simone Barcellona; Lorenzo Codecasa; Silvia Colnago; Loris Cannelli; Christian Laurano; Gabriele Maroni (Math. Comput. Simul., 2026)