Stefano Marelli

Orcid: 0000-0002-1325-7708

According to our database1, Stefano Marelli authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis.
Reliab. Eng. Syst. Saf., 2024

Scrap Monitoring in Aluminum Melting Furnace using Computer Vision and Deep Learning.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

2023
Efficient Bayesian travel-time tomography with geologically-complex priors using sensitivity-informed polynomial chaos expansion and deep generative networks.
CoRR, 2023

Emulating the dynamics of complex systems using autoregressive models on manifolds (mNARX).
CoRR, 2023

2022
A spectral surrogate model for stochastic simulators computed from trajectory samples.
CoRR, 2022

2021
Model-Based Estimation of Lithium Concentrations and Temperature in Batteries Using Soft-Constrained Dual Unscented Kalman Filtering.
IEEE Trans. Control. Syst. Technol., 2021

Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark.
SIAM/ASA J. Uncertain. Quantification, 2021

Bayesian model inversion using stochastic spectral embedding.
J. Comput. Phys., 2021

Global sensitivity analysis using derivative-based sparse Poincaré chaos expansions.
CoRR, 2021

Rare event estimation using stochastic spectral embedding.
CoRR, 2021

Development of a device to impose medio-lateral whole-body vibration while walking.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2021

2020
Sparse Polynomial Chaos Expansions: Solvers, Basis Adaptivity and Meta-selection.
CoRR, 2020

Test bench for the measurement of scissors' cutting torque.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

Compensation of Temperature Effects on an Automatic System for Diameter Measurement.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

2019
Analysis and development of electrochemical model-based state estimation algorithms for Li-ion batteries.
PhD thesis, 2019

Predictive Cylinder Deactivation Control for Large Displacement Automotive Engines.
IEEE Trans. Veh. Technol., 2019

Data-driven polynomial chaos expansion for machine learning regression.
J. Comput. Phys., 2019

Probabilistic robust design of control systems for high-fidelity cyber-physical testing.
Autom., 2019

2018
Extending classical surrogate modelling to ultrahigh dimensional problems through supervised dimensionality reduction: a data-driven approach.
CoRR, 2018

A mass-preserving Sliding Mode Observer for Li-ion cells electrochemical model.
Proceedings of the 16th European Control Conference, 2018

2017
Determining Rice Growth Stage with X-Band SAR: A Metamodel Based Inversion.
Remote. Sens., 2017

Sequential Design of Experiment for Sparse Polynomial Chaos Expansions.
SIAM/ASA J. Uncertain. Quantification, 2017

Control-oriented coupled electrochemical thermal model for Li-Ion batteries.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A soft-constrained unscented Kalman filter estimator for Li-ion cells electrochemical model.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2015
Global sensitivity analysis of a morphology based electromagnetic scattering model.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Battery Health Management System for Automotive Applications: A retroactivity-based aging propagation study.
Proceedings of the American Control Conference, 2015


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