MANZONI, ANDREA
 Distribuzione geografica
Continente #
EU - Europa 11.341
NA - Nord America 9.323
AS - Asia 6.429
SA - Sud America 1.355
AF - Africa 240
OC - Oceania 17
Continente sconosciuto - Info sul continente non disponibili 4
Totale 28.709
Nazione #
US - Stati Uniti d'America 9.064
RU - Federazione Russa 4.638
IT - Italia 4.345
SG - Singapore 2.334
CN - Cina 1.573
BR - Brasile 1.114
VN - Vietnam 737
IE - Irlanda 510
KR - Corea 438
DE - Germania 370
FR - Francia 343
HK - Hong Kong 336
JP - Giappone 275
GB - Regno Unito 214
NL - Olanda 171
FI - Finlandia 146
CA - Canada 132
ES - Italia 119
IN - India 110
BD - Bangladesh 102
MA - Marocco 96
ID - Indonesia 90
AT - Austria 87
AR - Argentina 82
SE - Svezia 78
CH - Svizzera 72
PL - Polonia 60
MX - Messico 54
TR - Turchia 52
TW - Taiwan 45
IQ - Iraq 44
PH - Filippine 40
EC - Ecuador 39
ZA - Sudafrica 37
MY - Malesia 36
PK - Pakistan 33
UA - Ucraina 31
CI - Costa d'Avorio 30
JO - Giordania 28
CL - Cile 27
IR - Iran 25
VE - Venezuela 24
BE - Belgio 23
CO - Colombia 23
CZ - Repubblica Ceca 19
SA - Arabia Saudita 18
DK - Danimarca 17
JM - Giamaica 17
UZ - Uzbekistan 17
PY - Paraguay 15
AU - Australia 13
DO - Repubblica Dominicana 13
KE - Kenya 12
TH - Thailandia 12
DZ - Algeria 11
PT - Portogallo 11
TN - Tunisia 11
UY - Uruguay 11
BO - Bolivia 10
BJ - Benin 9
EG - Egitto 9
GT - Guatemala 9
HR - Croazia 9
IL - Israele 9
KG - Kirghizistan 9
LT - Lituania 9
LU - Lussemburgo 9
AZ - Azerbaigian 8
CR - Costa Rica 8
PE - Perù 8
RO - Romania 8
BG - Bulgaria 7
GR - Grecia 7
HU - Ungheria 7
LB - Libano 7
NO - Norvegia 7
AL - Albania 6
HN - Honduras 6
OM - Oman 6
AE - Emirati Arabi Uniti 5
KZ - Kazakistan 5
NP - Nepal 5
PA - Panama 5
AO - Angola 4
BB - Barbados 4
KW - Kuwait 4
NZ - Nuova Zelanda 4
QA - Qatar 4
SY - Repubblica araba siriana 4
TT - Trinidad e Tobago 4
BA - Bosnia-Erzegovina 3
BW - Botswana 3
EU - Europa 3
LK - Sri Lanka 3
MM - Myanmar 3
NG - Nigeria 3
RS - Serbia 3
SI - Slovenia 3
BH - Bahrain 2
CY - Cipro 2
Totale 28.667
Città #
Ashburn 1.671
Singapore 1.198
San Jose 802
Milan 732
Moscow 679
Genova 567
Dublin 502
Fairfield 499
Chandler 483
Seoul 404
Hefei 368
Woodbridge 344
Houston 323
Santa Clara 303
Hong Kong 297
Tokyo 256
Council Bluffs 245
Seattle 239
Boardman 224
Ho Chi Minh City 221
The Dalles 221
Wilmington 205
Los Angeles 200
Cambridge 184
Dallas 166
Ann Arbor 150
Beijing 145
Rome 141
Hanoi 134
Lauterbourg 131
New York 126
Helsinki 93
São Paulo 90
North Charleston 87
Dearborn 83
Frankfurt am Main 82
Lawrence 82
London 74
Buffalo 73
Kent 72
Vienna 68
Málaga 62
Jakarta 59
Medford 59
Kenitra 56
Erlangen 52
San Diego 52
Las Vegas 49
Redmond 49
Guangzhou 46
Orem 46
Warsaw 46
Shanghai 45
Piscataway 44
Phoenix 43
Turin 42
Atlanta 41
Hangzhou 40
Dong Ket 39
Belo Horizonte 38
Amsterdam 37
Peschiera Borromeo 36
Taipei 35
Florence 34
Montreal 34
Chicago 33
Da Nang 32
Kuala Lumpur 32
Naples 31
Brooklyn 29
Tianjin 29
Paris 28
Abidjan 27
Trieste 27
Bologna 26
Columbus 26
Amman 25
Bern 25
Princeton 25
Redwood City 25
Monza 24
Ottawa 24
Ankara 23
Brasília 23
Haiphong 23
Porto Alegre 23
Redondo Beach 22
Chennai 21
Denver 21
Frisco 21
Johannesburg 21
Munich 21
Nuremberg 21
Chengdu 20
Como 19
Lappeenranta 19
Palermo 19
Rio de Janeiro 19
Toronto 19
Curitiba 18
Totale 14.889
Nome #
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity 679
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics 638
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort 552
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score 512
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences 475
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks 374
Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method 340
Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations 331
AN ASYMPTOTIC FORMULA FOR BOUNDARY POTENTIAL PERTURBATIONS IN A SEMILINEAR ELLIPTIC EQUATION RELATED TO CARDIAC ELECTROPHYSIOLOGY 318
Reduced basis methods for partial differential equations: An introduction 309
A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation 287
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations 285
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring 275
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics 273
Efficient model reduction of parametrized systems by matrix discrete empirical interpolation 265
A saddle point approach to an optimal boundary control problem for steady Navier-Stokes equations 265
Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications 263
A certified RB method for PDE-constrained parametric optimization problems 259
Accurate solution of Bayesian inverse uncertainty quantification problems combining reduced basis methods and reduction error models 253
A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning 252
A reconstruction algorithm based on topological gradient for an inverse problem related to a semilinear elliptic boundary value problem 251
Mathematical Modelling of the Human Cardiovascular System - Data, Numerical Approximation, Clinical Applications 247
A matrix DEIM technique for model reduction of nonlinear parametrized problems in cardiac mechanics 246
A Deep Neural Network, Multi-fidelity Surrogate Model Approach for Bayesian Model Updating in SHM 242
Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter 238
Reduced basis approximation and a posteriori error estimates for parametrized elliptic eigenvalue problems 232
Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty 231
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers 228
An autoencoder-based deep learning approach for load identification in structural dynamics 227
Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization 226
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures 226
8 Reduced-order modeling for applications to the cardiovascular system 224
A combination between the reduced basis method and the ANOVA expansion: On the computation of sensitivity indices 223
Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation 223
Model reduction techniques for fast blood flow simulation in parametrized geometries 221
Data integration for the numerical simulation of cardiac electrophysiology 221
Optimal Control of Partial Differential Equations. Analysis, Approximation, and Applications 221
Characterization of cardiac electrogram signals in atrial arrhythmias 220
An inverse problem for a semilinear parabolic equation arising from cardiac electrophysiology 217
A deep learning approach to metric-based damage localization in structural health monitoring 216
A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs 214
Online structural health monitoring by model order reduction and deep learning algorithms 211
Learning high-order interactions for polygenic risk prediction 210
An MCMC approach powered by a multi-fidelity deep neural network surrogate for damage localization in civil structures 209
SUIHTER : a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy 206
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning 206
A computational framework for predictive digital twins of civil engineering structures 205
Reduced Basis Method for Parametrized Elliptic Optimal Control Problems 203
A reduced computational and geometrical framework for inverse problems in hemodynamics 202
Fast active thermal cloaking through PDE-constrained optimization and reduced-order modelling 202
Approximation bounds for convolutional neural networks in operator learning 200
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks 200
Computational Reduction for Parametrized PDEs: Strategies and Applications 200
SHM under varying environmental conditions: an approach based on model order reduction and deep learning 198
Online learning in bifurcating dynamic systems via SINDy and Kalman filtering 197
Reduced Basis Isogeometric Methods (RB-IGA) for the real-time simulation of potential flows about parametrized NACA airfoils 195
Generalized Reduced Basis Methods and n-Width Estimates for the Approximation of the Solution Manifold of Parametric PDEs 195
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields 194
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition 194
Multi-fidelity reduced-order surrogate modelling 193
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks 193
Shape optimization by free-form deformation: existence results and numerical solution for Stokes flows 190
A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring 189
An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows 188
Fully convolutional networks for structural health monitoring through multivariate time series classification 188
Density Control of Large-Scale Particles Swarm Through PDE-Constrained Optimization 187
A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks 186
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures 185
The Cardiovascular System: Mathematical Modeling, Numerical Algorithms, Clinical Applications 185
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition 182
Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations 182
A time series autoencoder for load identification via dimensionality reduction of sensor recordings 181
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method 180
Heuristic strategies for the approximation of stability factors in quadratically nonlinear parametrized PDEs 179
An adjoint-based method for the numerical approximation of shape optimization problems in presence of fluid-structure interaction 178
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium 177
Deep learning-based surrogate models for parametrized PDEs: Handling geometric variability through graph neural networks 175
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate 175
Predictive digital twins for health monitoring: From structural safety to personalized medicine 174
Certified reduced basis approximation for parametrized partial differential equations and applications 173
A digital twin framework for civil engineering structures 172
A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning 172
Multi-fidelity surrogate modeling using long short-term memory networks 171
Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions 170
POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition 169
Efficient approximation of cardiac mechanics through reduced‐order modeling with deep learning‐based operator approximation 168
A computational framework for predictive digital twins of civil structures using neural networks and probabilistic graphical models 168
Online learning of time-varying dynamic systems with EKF-SINDy 166
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models 166
Shape optimization for viscous flows by reduced basis methods and free-form deformation 166
Deep learning-based reduced order models in cardiac electrophysiology 166
A Combined Model-Order Reduction and Deep Learning Approach for Structural Health Monitoring under Varying Operational and Environmental Conditions 166
Efficient reduction of PDEs defined on domains with variable shape 164
EKF–SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics 162
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs 162
Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: Roles of the inf-sup stability constants 162
Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models 161
Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning 161
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma 161
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities 161
Totale 22.780
Categoria #
all - tutte 80.159
article - articoli 58.300
book - libri 2.281
conference - conferenze 14.523
curatela - curatele 0
other - altro 0
patent - brevetti 331
selected - selezionate 0
volume - volumi 4.724
Totale 160.318


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
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
2024/20255.882 34 59 141 92 459 381 826 1.469 620 349 596 856
2025/202614.051 2.258 2.386 859 1.141 696 784 1.892 643 844 1.174 503 871
2026/2027355 355 0 0 0 0 0 0 0 0 0 0 0
Totale 28.916