Giorgio Manganini

18 papers A* 1A 1B 1C 2Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
Evaluating and Fine-Tuning Vision-Language Models for Industrial Manufacturing in Low-Data Regimes.
ECAI
Giorgio Manganini, Giulia Vilone, Mark Langtry, Prashanth Viswanath, Jim Gibbons, Paul Heraty
2024 J jnl
Graph-based Data Mining, Pattern Recognition and Anomaly Detection for Intelligent Energy Networks.
Comput. Ind. Eng.
Francesco Grassi, Giorgio Manganini, Konstantinos I. Kouramas
2024 J jnl
Improving trajectory classification through Kramers-Moyal coefficients.
AI Open
Gustavo Viera-López, Jorge J. Morgado-Vega, Alfredo Reyes, Ernesto Altshuler, Yudivián Almeida-Cruz, Giorgio Manganini
2024 J jnl
Policy Gradient with Active Importance Sampling.
RLJ
Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2024 J jnl
Policy Gradient with Active Importance Sampling.
CoRR
Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2024 C conf
Transfer Learning for Dynamical Systems Models via Autoencoders and GANs.
ACC
Angelo Damiani, Gustavo Viera-López, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2023 J jnl
pactus: A Python framework for trajectory classification.
J. Open Source Softw.
Gustavo Viera-López, Jorge J. Morgado-Vega, Alfredo Reyes, Ernesto Altshuler, Yudivián Almeida-Cruz, Giorgio Manganini
2022 A* conf
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning.
ICML
Angelo Damiani, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2022 — conf
Newton-based Policy Search for Networked Multi-agent Reinforcement Learning.
CDC
Giorgio Manganini, Simone Fioravanti, Giorgia Ramponi
2020 J jnl
Resource Aware Multifidelity Active Learning for Efficient Optimization.
CoRR
Francesco Grassi, Giorgio Manganini, Michele Garraffa, Laura Mainini
2019 — conf
A graph-based optimization framework for the Energy Management of District Systems.
CDC
Giorgio Manganini, Stefano Riverso, Konstantinos I. Kouramas
2017 — conf
A data-based approach to power capacity optimization.
CDC
Giorgio Manganini, Alessandro Falsone, Jan Siroky, Maria Prandini
2016 — —
Optimal control of large scale stochastic hybrid systems with a finite control space.
Giorgio Manganini
2016 J jnl
Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme.
IEEE Trans. Cybern.
Giorgio Manganini, Matteo Pirotta, Marcello Restelli, Luigi Piroddi, Maria Prandini
2015 — conf
A classification-based approach to the optimal control of affine switched systems.
CDC
Giorgio Manganini, Luigi Piroddi, Maria Prandini
2015 C conf
A majority voting classifier with probabilistic guarantees.
CCA
Giorgio Manganini, Alessandro Falsone, Maria Prandini
2015 B conf
Following Newton direction in Policy Gradient with parameter exploration.
IJCNN
Giorgio Manganini, Matteo Pirotta, Marcello Restelli, Luca Bascetta
2015 — conf
Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement.
ECC
Danilo Caporale, Luca Deori, Roberto Mura, Alessandro Falsone, Riccardo Vignali, Luca Giulioni, Matteo Pirotta, Giorgio Manganini