Efficient tracking of heart rate under physical exercise from photoplethysmographic signals. - Guglielmo Frigo; Marco Fabris; Alessandra Galli; Fabio Gambarin; Italo A. Marsili; Claudio Narduzzi; Giada Giorgi (RTSI, 2015)

Optimal Time-Invariant Formation Tracking for a Second-Order Multi-Agent System. - Marco Fabris; Angelo Cenedese; John Hauser (ECC, 2019)

On the Distributed Estimation from Relative Measurements: a Graph-Based Convergence Analysis. - Marco Fabris; Giulia Michieletto; Angelo Cenedese (ECC, 2019)

Distributed Dual Quaternion Based Localization of Visual Sensor Networks. - Luca Varotto; Marco Fabris; Giulia Michieletto; Angelo Cenedese (ECC, 2019)

Distributed Strategies for Dynamic Coverage with Limited Sensing Capabilities. - Marco Fabris; Angelo Cenedese (MED, 2019)

A Proximal Point Approach for Distributed System State Estimation. - Marco Fabris; Giulia Michieletto; Angelo Cenedese (CoRR, 2021)

Bearing-based Autonomous Communication Relay Positioning under Field-of-View Constraints. - Marco Fabris; Daniel Zelazo (CoRR, 2022)

Uncertainty-aware data-driven predictive control in a stochastic setting. - Valentina Breschi; Marco Fabris; Simone Formentin; Alessandro Chiuso (CoRR, 2022)

A General Regularized Distributed Solution for System State Estimation From Relative Measurements. - Marco Fabris; Giulia Michieletto; Angelo Cenedese (IEEE Control. Syst. Lett., 2022)

Secure Consensus via Objective Coding: Robustness Analysis to Channel Tampering. - Marco Fabris; Daniel Zelazo (IEEE Trans. Syst. Man Cybern. Syst., 2022)

On the Impact of Regularization in Data-Driven Predictive Control. - Valentina Breschi; Alessandro Chiuso; Marco Fabris; Simone Formentin (CDC, 2023)

On the Characterization of Regular Ring Lattices and their Relation with the Dirichlet Kernel. - Marco Fabris (CoRR, 2023)

Adaptive Consensus-based Regulation of Open-Channel Networks. - Marco Fabris; Marco D. Bellinazzi; Andrea Furlanetto; Angelo Cenedese (CoRR, 2023)

Optimal Time-Invariant Distributed Formation Tracking for Second-Order Multi-Agent Systems. - Marco Fabris; Angelo Cenedese (CoRR, 2023)

Harnessing the Final Control Error for Optimal Data-Driven Predictive Control. - Alessandro Chiuso; Marco Fabris; Valentina Breschi; Simone Formentin (CoRR, 2023)

A Robustness Analysis to Structured Channel Tampering Over Secure-by-Design Consensus Networks. - Marco Fabris; Daniel Zelazo (IEEE Control. Syst. Lett., 2023)

A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning. - Matteo Cederle; Marco Fabris; Gian Antonio Susto (ATT@ECAI, 2024)

Adaptive Consensus-Based Reference Generation for the Regulation of Open-Channel Networks. - Marco Fabris; Marco D. Bellinazzi; Andrea Furlanetto; Angelo Cenedese (IEEE Access, 2024)

Efficient Sensors Selection for Traffic Flow Monitoring: An Overview of Model-Based Techniques leveraging Network Observability. - Marco Fabris; Riccardo Ceccato; Andrea Zanella (CoRR, 2024)

Optimal time-invariant distributed formation tracking for second-order multi-agent systems. - Marco Fabris; Giulio Fattore; Angelo Cenedese (Eur. J. Control, 2024)

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services. - Matteo Cederle; Luca Vittorio Piron; Marina Ceccon; Federico Chiariotti; Alessandro Fabris; Marco Fabris; Gian Antonio Susto (ACC, 2025)

Harnessing uncertainty for a separation principle in direct data-driven predictive control. - Alessandro Chiuso; Marco Fabris; Valentina Breschi; Simone Formentin (Autom., 2025)

How Complex is a Complex Network? Insights From Linear Systems Theory. - Giacomo Baggio; Marco Fabris (IEEE Control. Syst. Lett., 2025)

Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning. - Matteo Cederle; Marco Fabris; Gian Antonio Susto (CoRR, 2025)

Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression. - Arianna Stropeni; Francesco Borsatti; Manuel Barusco; Davide Dalle Pezze; Marco Fabris; Gian Antonio Susto (CoRR, 2025)

VoI-aware Scheduling Schemes for Multi-Agent Formation Control. - Federico Chiariotti; Marco Fabris (CoRR, 2025)

A Fairness-Oriented Multi-Objective Reinforcement Learning approach for Autonomous Intersection Management. - Matteo Cederle; Marco Fabris; Gian Antonio Susto (CoRR, 2025)