MANZONI, ANDREA
A Combined Model-Order Reduction and Deep Learning Approach for Structural Health Monitoring under Varying Operational and Environmental Conditions
2020-01-01 Torzoni, Matteo; Rosafalco, Luca; Manzoni, Andrea
A deep learning approach to metric-based damage localization in structural health monitoring
2021-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
A Deep Neural Network, Multi-fidelity Surrogate Model Approach for Bayesian Model Updating in SHM
2023-01-01 Torzoni, M; Manzoni, A; Mariani, S
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring
2022-01-01 Colombera, Giorgia; Rosafalco, Luca; Torzoni, Matteo; Gatti, Filippo; Mariani, Stefano; Manzoni, Andrea; Corigliano, Alberto
A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning
2020-01-01 Rosafalco, Luca; Corigliano, Alberto; Manzoni, Andrea; Mariani, Stefano
A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring
2022-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
A time series autoencoder for load identification via dimensionality reduction of sensor recordings
2020-01-01 Rosafalco, Luca; Corigliano, Alberto; Manzoni, Andrea; Mariani, Stefano
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma
2023-01-01 Cavinato, Lara; Hong, Jimin; Reinhard, Stefan; Wartenberg, Martin; Zunino, Paolo; Manzoni, Andrea; Ieva, Francesca; Shi, Kuangyu
An MCMC approach powered by a multi-fidelity deep neural network surrogate for damage localization in civil structures
2021-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers
2021-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Torzoni, M.; Corigliano, A.
Deep learning-based reduced order models in cardiac electrophysiology
2022-01-01 Fresca, S.; Manzoni, A.; Dede', L.; Quarteroni, A.
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics
2020-01-01 Massi, M. C.; Ieva, F.; Paganoni, A.; Manzoni, A.; Zunino, P.; Franco, N. R.; Rancati, T.; West, C.
Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models
2022-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Enhanced Bayesian model updating for structural health monitoring via deep learning
2022-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate
2022-01-01 Torzoni, Matteo; Manzoni, Andrea; Mariani, Stefano
Indirect Optimal Control of Advection-Diffusion Fields through Distributed Robotic Swarms
2022-01-01 Sinigaglia, C.; Manzoni, A.; Braghin, F.; Berman, S.
Parametric reduced order modelling and deep learning to accomplish pattern recognition and regression tasks
2021-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences
2020-01-01 Franco, Nicola Rares; Massi, Michela Carlotta; Ieva, Francesca; Paganoni, Anna Maria; Manzoni, Andrea; Zunino, Paolo; Rancati, Tiziana; West, Catharine
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks
2021-01-01 Franco, N.; Manzoni, A.; Zunino, P.
Unscented Kalman Filter Empowered by Bayesian Model Evidence for System Identification in Structural Dynamics
2022-01-01 Rosafalco, Luca; Eftekhar Azam, Saeed; Manzoni, Andrea; Corigliano, Alberto; Mariani, Stefano