Giorgio Manganini

According to our database, Giorgio Manganini authored at least 17 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Evaluating and Fine-Tuning Vision-Language Models for Industrial Manufacturing in Low-Data Regimes.

Giorgio Manganini, Giulia Vilone, Mark Langtry, Prashanth Viswanath, Jim Gibbons, Paul Heraty

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Graph-based Data Mining, Pattern Recognition and Anomaly Detection for Intelligent Energy Networks.

Francesco Grassi, Giorgio Manganini, Konstantinos I. Kouramas

Comput. Ind. Eng., 2024

Improving trajectory classification through Kramers-Moyal coefficients.

Gustavo Viera-López, Jorge J. Morgado-Vega, Alfredo Reyes, Ernesto Altshuler, Yudivián Almeida-Cruz, Giorgio Manganini

AI Open, 2024

Policy Gradient with Active Importance Sampling.

Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli

RLJ, 2024

Transfer Learning for Dynamical Systems Models via Autoencoders and GANs.

Angelo Damiani, Gustavo Viera-López, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli

Proceedings of the American Control Conference, 2024

2023

pactus: A Python framework for trajectory classification.

Gustavo Viera-López, Jorge J. Morgado-Vega, Alfredo Reyes, Ernesto Altshuler, Yudivián Almeida-Cruz, Giorgio Manganini

J. Open Source Softw., October, 2023

2022

Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning.

Angelo Damiani, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli

Proceedings of the International Conference on Machine Learning, 2022

Newton-based Policy Search for Networked Multi-agent Reinforcement Learning.

Giorgio Manganini, Simone Fioravanti, Giorgia Ramponi

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2020

Resource Aware Multifidelity Active Learning for Efficient Optimization.

Francesco Grassi, Giorgio Manganini, Michele Garraffa, Laura Mainini

CoRR, 2020

2019

A graph-based optimization framework for the Energy Management of District Systems.

Giorgio Manganini, Stefano Riverso, Konstantinos I. Kouramas

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2017

A data-based approach to power capacity optimization.

Giorgio Manganini, Alessandro Falsone, Jan Siroky, Maria Prandini

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Optimal control of large scale stochastic hybrid systems with a finite control space.

Giorgio Manganini

PhD thesis, 2016

Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme.

Giorgio Manganini, Matteo Pirotta, Marcello Restelli, Luigi Piroddi, Maria Prandini

IEEE Trans. Cybern., 2016

2015

Following Newton direction in Policy Gradient with parameter exploration.

Giorgio Manganini, Matteo Pirotta, Marcello Restelli, Luca Bascetta

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement.

Danilo Caporale, Luca Deori, Roberto Mura, Alessandro Falsone, Riccardo Vignali, Luca Giulioni, Matteo Pirotta, Giorgio Manganini

Proceedings of the 14th European Control Conference, 2015

A classification-based approach to the optimal control of affine switched systems.

Giorgio Manganini, Luigi Piroddi, Maria Prandini

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A majority voting classifier with probabilistic guarantees.

Giorgio Manganini, Alessandro Falsone, Maria Prandini

Proceedings of the 2015 IEEE Conference on Control Applications, 2015