MANZONI, ANDREA
 Distribuzione geografica
Continente #
EU - Europa 4.848
NA - Nord America 4.186
AS - Asia 764
SA - Sud America 30
AF - Africa 26
OC - Oceania 6
Continente sconosciuto - Info sul continente non disponibili 3
Totale 9.863
Nazione #
US - Stati Uniti d'America 4.154
IT - Italia 3.256
IE - Irlanda 492
RU - Federazione Russa 350
SG - Singapore 328
CN - Cina 151
DE - Germania 141
FI - Finlandia 101
VN - Vietnam 88
FR - Francia 67
GB - Regno Unito 67
ES - Italia 66
AT - Austria 63
CH - Svizzera 59
SE - Svezia 56
ID - Indonesia 50
NL - Olanda 37
CA - Canada 28
BR - Brasile 26
HK - Hong Kong 26
PL - Polonia 26
IN - India 20
UA - Ucraina 18
KR - Corea 16
JO - Giordania 15
JP - Giappone 14
TR - Turchia 14
PH - Filippine 11
BE - Belgio 9
IR - Iran 9
BJ - Benin 8
CI - Costa d'Avorio 8
CZ - Repubblica Ceca 8
TW - Taiwan 8
LU - Lussemburgo 7
PT - Portogallo 7
HU - Ungheria 5
AU - Australia 4
IL - Israele 4
EU - Europa 3
HR - Croazia 3
MX - Messico 3
RO - Romania 3
TH - Thailandia 3
EG - Egitto 2
KZ - Kazakistan 2
MU - Mauritius 2
NG - Nigeria 2
NO - Norvegia 2
NZ - Nuova Zelanda 2
ZA - Sudafrica 2
AR - Argentina 1
BG - Bulgaria 1
CO - Colombia 1
DK - Danimarca 1
DZ - Algeria 1
EC - Ecuador 1
EE - Estonia 1
GR - Grecia 1
IQ - Iraq 1
IS - Islanda 1
JM - Giamaica 1
LA - Repubblica Popolare Democratica del Laos 1
LK - Sri Lanka 1
PE - Perù 1
PK - Pakistan 1
SA - Arabia Saudita 1
TN - Tunisia 1
Totale 9.863
Città #
Genova 567
Fairfield 499
Dublin 485
Chandler 483
Milan 391
Woodbridge 344
Ashburn 312
Houston 289
Santa Clara 239
Singapore 234
Seattle 230
Wilmington 204
Cambridge 184
Ann Arbor 147
Boardman 138
Dearborn 83
Lawrence 81
Helsinki 71
Málaga 61
Medford 59
Vienna 56
Jakarta 50
Redmond 49
San Diego 48
Rome 47
Dong Ket 39
New York 36
Beijing 28
Bern 25
Redwood City 25
Warsaw 25
Princeton 24
Los Angeles 20
Ottawa 20
Columbus 19
Monza 19
Amsterdam 18
Lausanne 18
Trieste 18
Phoenix 17
London 16
Paris 16
Shanghai 16
Amman 15
Lappeenranta 14
Hong Kong 13
Munich 13
Falkenstein 12
Dallas 11
Frankfurt am Main 11
Garbana 11
Washington 11
Florence 10
Mountain View 10
Palermo 10
Turin 10
Berlin 9
Brest 9
Guangzhou 9
Nanjing 9
Tokyo 9
Abidjan 8
Brussels 8
Cotonou 8
Istanbul 8
Jacksonville 8
Karlsruhe 8
Lequile 8
Manila 8
Zurich 8
Dalmine 7
Des Moines 7
Miami 7
Norwalk 7
Padova 7
Parabiago 7
Bergamo 6
Castano Primo 6
Cuggiono 6
Lodi 6
Pontida 6
Portland 6
Rozzano 6
Seregno 6
Taipei 6
Brescia 5
Brugherio 5
Bulandshahr 5
Central 5
Ravenna 5
Thiruvananthapuram 5
Urbino 5
Vimodrone 5
Ankara 4
Como 4
Fremont 4
Fuzhou 4
Gallarate 4
Lecco 4
Lissone 4
Totale 6.182
Nome #
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity 492
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics 475
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score 383
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort 349
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences 342
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks 199
Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method 190
AN ASYMPTOTIC FORMULA FOR BOUNDARY POTENTIAL PERTURBATIONS IN A SEMILINEAR ELLIPTIC EQUATION RELATED TO CARDIAC ELECTROPHYSIOLOGY 177
A saddle point approach to an optimal boundary control problem for steady Navier-Stokes equations 175
Mathematical Modelling of the Human Cardiovascular System - Data, Numerical Approximation, Clinical Applications 173
Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations 138
Efficient model reduction of parametrized systems by matrix discrete empirical interpolation 128
The Cardiovascular System: Mathematical Modeling, Numerical Algorithms, Clinical Applications 126
Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter 125
A reconstruction algorithm based on topological gradient for an inverse problem related to a semilinear elliptic boundary value problem 123
Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications 121
Computational Reduction for Parametrized PDEs: Strategies and Applications 117
Reduced basis methods for partial differential equations: An introduction 117
An inverse problem for a semilinear parabolic equation arising from cardiac electrophysiology 117
A matrix DEIM technique for model reduction of nonlinear parametrized problems in cardiac mechanics 115
Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization 115
Model reduction techniques for fast blood flow simulation in parametrized geometries 114
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures 111
A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning 110
Reduced basis approximation and a posteriori error estimates for parametrized elliptic eigenvalue problems 108
An adjoint-based method for the numerical approximation of shape optimization problems in presence of fluid-structure interaction 108
A certified RB method for PDE-constrained parametric optimization problems 108
Efficient reduction of PDEs defined on domains with variable shape 106
SUIHTER : a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy 106
A reduced computational and geometrical framework for inverse problems in hemodynamics 104
Accurate solution of Bayesian inverse uncertainty quantification problems combining reduced basis methods and reduction error models 104
Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty 103
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring 101
Shape optimization by free-form deformation: existence results and numerical solution for Stokes flows 95
Fully convolutional networks for structural health monitoring through multivariate time series classification 92
A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation 92
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers 89
An MCMC approach powered by a multi-fidelity deep neural network surrogate for damage localization in civil structures 88
Certified reduced basis approximation for parametrized partial differential equations and applications 87
Reduced Basis Method for Parametrized Elliptic Optimal Control Problems 87
A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs 86
An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows 85
An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations 85
SHM under varying environmental conditions: an approach based on model order reduction and deep learning 83
Heuristic strategies for the approximation of stability factors in quadratically nonlinear parametrized PDEs 81
A combination between the reduced basis method and the ANOVA expansion: On the computation of sensitivity indices 81
Deep learning-based reduced order models in cardiac electrophysiology 81
An autoencoder-based deep learning approach for load identification in structural dynamics 81
Generalized Reduced Basis Methods and n-Width Estimates for the Approximation of the Solution Manifold of Parametric PDEs 81
Multi space reduced basis preconditioners for large-scale parametrized PDEs 80
Data integration for the numerical simulation of cardiac electrophysiology 80
Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations 79
A deep learning approach to metric-based damage localization in structural health monitoring 79
A time series autoencoder for load identification via dimensionality reduction of sensor recordings 76
Online structural health monitoring by model order reduction and deep learning algorithms 76
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate 74
Reduced Basis Isogeometric Methods (RB-IGA) for the real-time simulation of potential flows about parametrized NACA airfoils 72
8 Reduced-order modeling for applications to the cardiovascular system 72
An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems - Une stratégie intrinsèque de stabilisation en ligne pour l'approximation bases réduites de problèmes paramètrés avec transport dominant 70
Characterization of cardiac electrogram signals in atrial arrhythmias 70
Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: Roles of the inf-sup stability constants 69
On the approximation of stability factors for general parametrized partial differential equations with a two-level affine decomposition 68
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium 68
Optimal Control of Partial Differential Equations. Analysis, Approximation, and Applications 67
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations 65
Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape 65
Numerical modeling of hemodynamics scenarios of patient-specific coronary artery bypass grafts 64
Unscented Kalman Filter Empowered by Bayesian Model Evidence for System Identification in Structural Dynamics 64
Parametric reduced order modelling and deep learning to accomplish pattern recognition and regression tasks 64
Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning 63
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks 62
A Deep Neural Network, Multi-fidelity Surrogate Model Approach for Bayesian Model Updating in SHM 60
Reduced order modeling for cardiac electrophysiology and mechanics: New methodologies, challenges and perspectives 59
Shape optimization for viscous flows by reduced basis methods and free-form deformation 58
A numerical investigation of multi space reduced basis preconditioners for parametrized elliptic advection-diffusion equations 58
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning 58
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method 57
Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation 57
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities 55
Fast active thermal cloaking through PDE-constrained optimization and reduced-order modelling 55
Reduced-order modeling of blood flow for noninvasive functional evaluation of coronary artery disease 53
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition 51
POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition 48
A Combined Model-Order Reduction and Deep Learning Approach for Structural Health Monitoring under Varying Operational and Environmental Conditions 47
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics 42
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models 39
Learning high-order interactions for polygenic risk prediction 37
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures 34
Approximation bounds for convolutional neural networks in operator learning 31
Method and apparatus for predicting fluid flow through a subject conduit 31
A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning 30
Multi-fidelity surrogate modeling using long short-term memory networks 28
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks 27
Density Control of Large-Scale Particles Swarm Through PDE-Constrained Optimization 27
Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions 26
Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models 25
Multi-fidelity reduced-order surrogate modelling 24
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches 23
A digital twin framework for civil engineering structures 23
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs 23
Totale 9.687
Categoria #
all - tutte 42.573
article - articoli 32.465
book - libri 1.226
conference - conferenze 6.280
curatela - curatele 0
other - altro 0
patent - brevetti 172
selected - selezionate 0
volume - volumi 2.430
Totale 85.146


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020552 0 0 0 0 0 0 161 112 117 68 60 34
2020/2021705 27 36 41 54 49 74 36 44 53 85 83 123
2021/20223.142 41 43 594 118 883 261 252 363 248 80 110 149
2022/20231.785 122 142 41 141 135 165 52 192 490 122 91 92
2023/2024979 105 121 84 79 70 66 58 74 60 79 37 146
2024/20251.391 34 59 141 92 459 381 225 0 0 0 0 0
Totale 10.019