RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano

MANZONI, ANDREA
 Distribuzione geografica
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Continente #
EU - Europa 10.171
NA - Nord America 6.274
AS - Asia 4.072
SA - Sud America 1.220
AF - Africa 144
OC - Oceania 16
Continente sconosciuto - Info sul continente non disponibili 3
Totale 21.900
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Nazione #
US - Stati Uniti d'America 6.132
RU - Federazione Russa 4.633
IT - Italia 3.598
SG - Singapore 1.787
CN - Cina 1.156
BR - Brasile 1.044
IE - Irlanda 503
VN - Vietnam 372
DE - Germania 310
FR - Francia 185
GB - Regno Unito 173
KR - Corea 165
NL - Olanda 142
HK - Hong Kong 134
FI - Finlandia 128
ES - Italia 101
AT - Austria 83
ID - Indonesia 82
SE - Svezia 72
CH - Svizzera 69
CA - Canada 68
AR - Argentina 64
IN - India 57
PL - Polonia 47
TR - Turchia 42
BD - Bangladesh 40
MX - Messico 38
MA - Marocco 37
JP - Giappone 34
CI - Costa d'Avorio 30
EC - Ecuador 30
IQ - Iraq 29
UA - Ucraina 26
ZA - Sudafrica 25
JO - Giordania 21
PK - Pakistan 20
CL - Cile 19
IR - Iran 17
TW - Taiwan 17
PH - Filippine 15
PY - Paraguay 15
CZ - Repubblica Ceca 14
CO - Colombia 13
AU - Australia 12
VE - Venezuela 12
BE - Belgio 11
PT - Portogallo 10
UY - Uruguay 10
UZ - Uzbekistan 10
BJ - Benin 9
IL - Israele 8
JM - Giamaica 8
LT - Lituania 8
LU - Lussemburgo 8
SA - Arabia Saudita 8
BO - Bolivia 7
DO - Repubblica Dominicana 7
HR - Croazia 7
KE - Kenya 7
TN - Tunisia 7
AZ - Azerbaigian 6
EG - Egitto 6
GT - Guatemala 6
KG - Kirghizistan 6
RO - Romania 6
HU - Ungheria 5
PA - Panama 5
PE - Perù 5
TH - Thailandia 5
AE - Emirati Arabi Uniti 4
AL - Albania 4
DK - Danimarca 4
GR - Grecia 4
KW - Kuwait 4
MY - Malesia 4
NZ - Nuova Zelanda 4
OM - Oman 4
AO - Angola 3
BB - Barbados 3
BG - Bulgaria 3
BW - Botswana 3
DZ - Algeria 3
EU - Europa 3
KZ - Kazakistan 3
LK - Sri Lanka 3
NO - Norvegia 3
QA - Qatar 3
RS - Serbia 3
SY - Repubblica araba siriana 3
BA - Bosnia-Erzegovina 2
BH - Bahrain 2
CY - Cipro 2
EE - Estonia 2
HN - Honduras 2
LA - Repubblica Popolare Democratica del Laos 2
LB - Libano 2
LI - Liechtenstein 2
MU - Mauritius 2
NG - Nigeria 2
NP - Nepal 2
Totale 21.876
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Città #
Ashburn 1.178
Singapore 891
Moscow 679
Genova 567
Fairfield 499
Milan 499
Dublin 496
Chandler 483
Hefei 367
Woodbridge 344
Houston 303
Santa Clara 259
Seattle 235
Wilmington 204
Cambridge 184
Ann Arbor 149
Seoul 141
Boardman 139
Dallas 138
Council Bluffs 119
Hong Kong 117
Beijing 115
Ho Chi Minh City 114
Los Angeles 104
Dearborn 83
Lawrence 82
São Paulo 82
Helsinki 78
Kent 72
New York 70
London 67
Rome 66
Vienna 65
Málaga 62
Buffalo 59
Medford 59
Jakarta 56
Hanoi 55
Erlangen 52
Frankfurt am Main 50
Redmond 49
San Diego 48
The Dalles 44
Piscataway 42
Dong Ket 39
Belo Horizonte 37
Peschiera Borromeo 36
Warsaw 36
Hangzhou 31
Guangzhou 29
Shanghai 29
Phoenix 28
Abidjan 27
Amsterdam 26
Bern 25
Chicago 25
Redwood City 25
Tokyo 25
Columbus 24
Princeton 24
Tianjin 23
Brasília 22
Paris 22
Porto Alegre 22
Redondo Beach 22
Trieste 22
Monza 21
Munich 21
Ottawa 21
Amman 20
Nuremberg 20
Brooklyn 19
Como 19
Ankara 18
Florence 18
Lappeenranta 18
Lausanne 18
Rio de Janeiro 17
Curitiba 16
Düsseldorf 16
Montreal 16
Turin 16
Casablanca 15
Dhaka 15
Portsmouth 15
Turku 15
Chengdu 14
Istanbul 14
Zurich 14
Campinas 13
Des Moines 13
Guayaquil 13
Haiphong 13
Johannesburg 13
Stockholm 13
Washington 13
Changsha 12
Da Nang 12
Falkenstein 12
Fortaleza 12
Totale 10.699
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Nome #
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity 611
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics 578
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score 484
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort 471
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences 442
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks 321
Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method 292
Supremizer stabilization of POD-Galerkin approximation of parametrized steady incompressible Navier-Stokes equations 266
AN ASYMPTOTIC FORMULA FOR BOUNDARY POTENTIAL PERTURBATIONS IN A SEMILINEAR ELLIPTIC EQUATION RELATED TO CARDIAC ELECTROPHYSIOLOGY 258
A saddle point approach to an optimal boundary control problem for steady Navier-Stokes equations 234
A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation 231
Outer loop and isthmus in ventricular tachycardia circuits: Characteristics and implications 230
Efficient model reduction of parametrized systems by matrix discrete empirical interpolation 229
A certified RB method for PDE-constrained parametric optimization problems 224
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring 218
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations 215
Reduced basis methods for partial differential equations: An introduction 211
Mathematical Modelling of the Human Cardiovascular System - Data, Numerical Approximation, Clinical Applications 210
Accurate solution of Bayesian inverse uncertainty quantification problems combining reduced basis methods and reduction error models 208
Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter 208
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics 205
Boundary control and shape optimization for the robust design of bypass anastomoses under uncertainty 198
A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning 193
Data integration for the numerical simulation of cardiac electrophysiology 191
A combination between the reduced basis method and the ANOVA expansion: On the computation of sensitivity indices 189
Reduced basis approximation and a posteriori error estimates for parametrized elliptic eigenvalue problems 187
Characterization of cardiac electrogram signals in atrial arrhythmias 186
A matrix DEIM technique for model reduction of nonlinear parametrized problems in cardiac mechanics 184
Model reduction techniques for fast blood flow simulation in parametrized geometries 182
A reconstruction algorithm based on topological gradient for an inverse problem related to a semilinear elliptic boundary value problem 181
An inverse problem for a semilinear parabolic equation arising from cardiac electrophysiology 180
Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization 180
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures 178
A Deep Neural Network, Multi-fidelity Surrogate Model Approach for Bayesian Model Updating in SHM 177
8 Reduced-order modeling for applications to the cardiovascular system 177
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers 177
A reduced computational and geometrical framework for inverse problems in hemodynamics 175
A deep learning approach to metric-based damage localization in structural health monitoring 174
An MCMC approach powered by a multi-fidelity deep neural network surrogate for damage localization in civil structures 174
Computational Reduction for Parametrized PDEs: Strategies and Applications 173
Reduced Basis Method for Parametrized Elliptic Optimal Control Problems 172
Shape optimization by free-form deformation: existence results and numerical solution for Stokes flows 171
A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs 168
Approximation bounds for convolutional neural networks in operator learning 167
SUIHTER : a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy 166
Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning 164
Learning high-order interactions for polygenic risk prediction 163
Reduced Basis Isogeometric Methods (RB-IGA) for the real-time simulation of potential flows about parametrized NACA airfoils 163
Generalized Reduced Basis Methods and n-Width Estimates for the Approximation of the Solution Manifold of Parametric PDEs 162
Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation 160
The Cardiovascular System: Mathematical Modeling, Numerical Algorithms, Clinical Applications 159
Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations 158
An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier-Stokes flows 156
Online structural health monitoring by model order reduction and deep learning algorithms 156
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks 153
Fully convolutional networks for structural health monitoring through multivariate time series classification 152
An autoencoder-based deep learning approach for load identification in structural dynamics 152
SHM under varying environmental conditions: an approach based on model order reduction and deep learning 152
Online learning in bifurcating dynamic systems via SINDy and Kalman filtering 151
Certified reduced basis approximation for parametrized partial differential equations and applications 149
Heuristic strategies for the approximation of stability factors in quadratically nonlinear parametrized PDEs 147
An adjoint-based method for the numerical approximation of shape optimization problems in presence of fluid-structure interaction 145
Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks 144
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate 143
A time series autoencoder for load identification via dimensionality reduction of sensor recordings 142
Optimal Control of Partial Differential Equations. Analysis, Approximation, and Applications 142
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition 141
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium 140
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method 138
A computational framework for predictive digital twins of civil engineering structures 137
Efficient reduction of PDEs defined on domains with variable shape 137
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields 135
Deep learning-based reduced order models in cardiac electrophysiology 135
Fast active thermal cloaking through PDE-constrained optimization and reduced-order modelling 135
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures 134
Deep learning-based surrogate models for parametrized PDEs: Handling geometric variability through graph neural networks 134
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition 134
On the approximation of stability factors for general parametrized partial differential equations with a two-level affine decomposition 133
Shape optimization for viscous flows by reduced basis methods and free-form deformation 132
Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning 130
Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: Roles of the inf-sup stability constants 130
Predictive digital twins for health monitoring: From structural safety to personalized medicine 128
A digital twin framework for civil engineering structures 128
POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition 126
A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks 123
Multi space reduced basis preconditioners for large-scale parametrized PDEs 123
A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring 122
Numerical modeling of hemodynamics scenarios of patient-specific coronary artery bypass grafts 121
Multi-fidelity surrogate modeling using long short-term memory networks 120
Density Control of Large-Scale Particles Swarm Through PDE-Constrained Optimization 120
A Combined Model-Order Reduction and Deep Learning Approach for Structural Health Monitoring under Varying Operational and Environmental Conditions 120
Efficient approximation of cardiac mechanics through reduced‐order modeling with deep learning‐based operator approximation 119
Multi-fidelity reduced-order surrogate modelling 119
A predictive Digital Twin framework for risk assessment in congestive heart failure 117
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs 117
A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning 117
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities 117
A computational framework for predictive digital twins of civil structures using neural networks and probabilistic graphical models 116
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces 115
An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations 114
Totale 18.166
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Categoria #
all - tutte 66.772
article - articoli 49.163
book - libri 1.830
conference - conferenze 11.605
curatela - curatele 0
other - altro 0
patent - brevetti 259
selected - selezionate 0
volume - volumi 3.915
Totale 133.544
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021498 0 0 0 0 0 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
2024/20255.882 34 59 141 92 459 381 826 1.469 620 349 596 856
2025/20267.588 2.258 2.386 859 1.141 696 248 0 0 0 0 0 0
Totale 22.098