Sfoglia per Autore
A time series autoencoder for load identification via dimensionality reduction of sensor recordings
2020-01-01 Rosafalco, Luca; Corigliano, Alberto; Manzoni, Andrea; Mariani, Stefano
Fully convolutional networks for structural health monitoring through multivariate time series classification
2020-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Deep learning-based reduced order models in cardiac electrophysiology
2020-01-01 Fresca, S.; Manzoni, A.; Dede', L.; Quarteroni, A.
Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications
2020-01-01 Frontera, A.; Pagani, S.; Limite, L. R.; Hadjis, A.; Manzoni, A.; Dede', Luca.; Quarteroni, A.; Della Bella, P.
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score
2021-01-01 Rancati, T.; Massi, M.; Franco, N.; Avuzzi, B.; Azria, D.; Choudhury, A.; Cicchetti, A.; Dirk, D. R.; Dunning, A.; Elliott, R.; Ieva, F.; Kerns, S.; Lambrecht, M.; Manzoni, A.; Paganoni, A.; Rosenstein, B.; Seibold, P.; Sperk, E.; Talbot, C.; Vega, A.; Veldeman, L.; Zunino, P.; Webb, A.; Chang-Claude, J.; West, C.
An autoencoder-based deep learning approach for load identification in structural dynamics
2021-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Online structural health monitoring by model order reduction and deep learning algorithms
2021-01-01 Rosafalco, L; Torzoni, M; Manzoni, A; Mariani, S; Corigliano, A
Optimal Control of Partial Differential Equations. Analysis, Approximation, and Applications
2021-01-01 Manzoni, A.; Quarteroni, A.; Salsa, S.
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.
A deep learning approach to metric-based damage localization in structural health monitoring
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.
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.
Computational bottlenecks for PROMs: Precomputation and hyperreduction
2021-01-01 Farhat, C.; Grimberg, S.; Manzoni, A.; Quarteroni, A.
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks
2021-01-01 Franco, N.; Manzoni, A.; Zunino, P.
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks
2021-01-01 Salvador, M.; Dedè, L.; Manzoni, A.
Data integration for the numerical simulation of cardiac electrophysiology
2021-01-01 Pagani, S.; Dede', L.; Manzoni, A.; Quarteroni, A.
A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation
2021-01-01 Pagani, S.; Dede', L.; Frontera, A.; Salvador, M.; Limite, L. R.; Manzoni, A.; Lipartiti, F.; Tsitsinakis, G.; Hadjis, A.; Della Bella, P.; Quarteroni, A.
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium
2021-01-01 Fresca, Stefania; Manzoni, Andrea; Dedè, Luca; Quarteroni, Alfio
SUIHTER : a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy
2021-01-01 Parolini, N.; Dede’, L.; Antonietti, P. F.; Ardenghi, G.; Manzoni, A.; Miglio, E.; Pugliese, A.; Verani, M.; Quarteroni, A.
Characterization of cardiac electrogram signals in atrial arrhythmias
2021-01-01 Frontera, A.; Limite, L. R.; Pagani, S.; Hadjis, A.; Cireddu, M.; Sala, S.; Tsitsinakis, G.; Paglino, G.; Peretto, G.; Lipartiti, F.; Bisceglia, C.; Radinovic, A.; D'Angelo, G.; Marzi, A.; Baratto, F.; Vergara, P.; Dede', L.; Gulletta, S.; Manzoni, A.; Mazzone, P.; Quarteroni, A.; della Bella, P.
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
2021-01-01 Fresca, S.; Manzoni, A.
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity
2021-01-01 Franco, Nicola Rares; Massi, Michela Carlotta; Ieva, Francesca; Manzoni, Andrea; Paganoni, Anna Maria; Zunino, Paolo; Veldeman, Liv; Ost, Piet; Fonteyne, Valérie; Talbot, Christopher J; Rattay, Tim; Webb, Adam; Johnson, Kerstie; Lambrecht, Maarten; Haustermans, Karin; De Meerleer, Gert; de Ruysscher, Dirk; Vanneste, Ben; Van Limbergen, Evert; Choudhury, Ananya; Elliott, Rebecca M; Sperk, Elena; Veldwijk, Marlon; Herskind, Carsten; Avuzzi, Barbara; Noris Chiorda, Barbara; Valdagni, Riccardo; Azria, David; Farcy-Jacquet, Marie-Pierre; Brengues, Muriel; Rosenstein, Barry S; Stock, Richard G; Vega, Ana; Elías Aguado-Barrera, Miguel; Sosa-Fajardo, Paloma; Dunning, Alison M; Fachal, Laura; Kerns, Sarah L; Payne, Debbie; Chang-Claude, Jenny; Seibold, Petra; Ml West, Catharine; Rancati, Tiziana
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning
2021-01-01 Pagani, S.; Manzoni, A.
A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs
2021-01-01 Fresca, Stefania; Dede’, Luca; Manzoni, Andrea
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.
Deep learning-based reduced order models in cardiac electrophysiology
2022-01-01 Fresca, S.; Manzoni, A.; Dede', L.; Quarteroni, A.
A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning
2022-01-01 Rosafalco, L.; Torzoni, M.; Manzoni, A.; Mariani, S.; Corigliano, A.
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures
2022-01-01 Fresca, S; Gobat, G; Fedeli, P; Frangi, A; Manzoni, A
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition
2022-01-01 Gobat, G.; Opreni, A.; Fresca, S.; Manzoni, A.; Frangi, A.
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures
2022-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
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
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
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
Density Control of Large-Scale Particles Swarm Through PDE-Constrained Optimization
2022-01-01 Sinigaglia, C; Manzoni, A; Braghin, F
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities
2022-01-01 Guo, M.; Manzoni, A.; Amendt, M.; Conti, P.; Hesthaven, J. S.
Stabilized reduced-order models for unsteady incompressible flows in three-dimensional parametrized domains
2022-01-01 Buoso, S; Manzoni, A; Alkadhi, H; Kurtcuoglu, V
Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning
2022-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation
2022-01-01 Frontera, A.; Pagani, S.; Limite, L. R.; Peirone, A.; Fioravanti, F.; Enache, B.; Cuellar Silva, J.; Vlachos, K.; Meyer, C.; Montesano, G.; Manzoni, A.; Dede', L.; Quarteroni, A.; Latcu, D. G.; Rossi, P.; Della Bella, P.
SHM under varying environmental conditions: an approach based on model order reduction and deep learning
2022-01-01 Torzoni, Matteo; Rosafalco, Luca; Manzoni, Andrea; Mariani, Stefano; Corigliano, Alberto
POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition
2022-01-01 Fresca, S.; Manzoni, A.
A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring
2022-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method
2022-01-01 Pagani, S.; Manzoni, A.; Carlberg, K. T.
Fast active thermal cloaking through PDE-constrained optimization and reduced-order modelling
2022-01-01 Sinigaglia, Carlo; Quadrelli, Davide E.; Manzoni, Andrea; Braghin, Francesco
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs
2022-01-01 Cicci, L; Fresca, S; Manzoni, A
Indirect Optimal Control of Advection-Diffusion Fields through Distributed Robotic Swarms
2022-01-01 Sinigaglia, C.; Manzoni, A.; Braghin, F.; Berman, S.
Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors
2023-01-01 Torzoni, Matteo; Rosafalco, Luca; Mariani, Stefano; Corigliano, Alberto; Manzoni, Andrea
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics
2023-01-01 Cicci, Ludovica; Fresca, Stefania; Pagani, Stefano; Manzoni, Andrea; Quarteroni, Alfio
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces
2023-01-01 Franco, N. R.; Manzoni, A.; Zunino, P.
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models
2023-01-01 Fresca, Stefania; Fatone, Federico; Manzoni, Andrea
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