CHIUSO, ALESSANDRO
 Distribuzione geografica
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Continente #
NA - Nord America 14.474
AS - Asia 8.065
EU - Europa 3.723
AF - Africa 1.551
SA - Sud America 1.162
Continente sconosciuto - Info sul continente non disponibili 265
OC - Oceania 153
Totale 29.393
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Nazione #
US - Stati Uniti d'America 13.616
SG - Singapore 2.330
VN - Vietnam 1.332
CN - Cina 1.315
HK - Hong Kong 898
BR - Brasile 611
IT - Italia 540
DE - Germania 379
FI - Finlandia 355
FR - Francia 336
IN - India 192
PL - Polonia 180
UA - Ucraina 175
RU - Federazione Russa 156
GB - Regno Unito 150
BD - Bangladesh 143
NL - Olanda 139
IQ - Iraq 138
TR - Turchia 127
AR - Argentina 107
SE - Svezia 106
PH - Filippine 98
PK - Pakistan 86
UZ - Uzbekistan 85
ID - Indonesia 80
ES - Italia 78
MX - Messico 78
JP - Giappone 74
SA - Arabia Saudita 71
ZA - Sudafrica 70
IE - Irlanda 66
EC - Ecuador 64
VE - Venezuela 64
CA - Canada 62
AE - Emirati Arabi Uniti 60
MA - Marocco 59
CR - Costa Rica 58
PY - Paraguay 57
AO - Angola 56
IR - Iran 55
MY - Malesia 55
NI - Nicaragua 55
TW - Taiwan 54
RO - Romania 52
RS - Serbia 52
AT - Austria 51
KE - Kenya 51
LB - Libano 51
BB - Barbados 50
CI - Costa d'Avorio 50
KG - Kirghizistan 50
SI - Slovenia 50
TN - Tunisia 50
AZ - Azerbaigian 49
BJ - Benin 49
CH - Svizzera 49
PE - Perù 49
CO - Colombia 48
JO - Giordania 48
KZ - Kazakistan 48
TH - Thailandia 48
AL - Albania 47
HR - Croazia 47
LC - Santa Lucia 47
LV - Lettonia 47
PT - Portogallo 47
TJ - Tagikistan 47
ZM - Zambia 47
DO - Repubblica Dominicana 46
NP - Nepal 46
RW - Ruanda 46
ZW - Zimbabwe 46
BO - Bolivia 45
BZ - Belize 45
MN - Mongolia 45
PS - Palestinian Territory 45
CL - Cile 44
CZ - Repubblica Ceca 44
ET - Etiopia 44
CW - ???statistics.table.value.countryCode.CW??? 43
GE - Georgia 43
GM - Gambi 43
JM - Giamaica 43
BY - Bielorussia 42
IL - Israele 42
DZ - Algeria 41
LY - Libia 41
BE - Belgio 40
BG - Bulgaria 40
MW - Malawi 40
PA - Panama 40
HN - Honduras 39
LU - Lussemburgo 39
ME - Montenegro 39
MG - Madagascar 39
SK - Slovacchia (Repubblica Slovacca) 39
SN - Senegal 39
EG - Egitto 38
GT - Guatemala 38
KH - Cambogia 38
Totale 27.376
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Città #
Fairfield 1.633
San Jose 1.326
Singapore 1.249
Woodbridge 1.208
Ashburn 1.183
Houston 874
Hong Kong 799
Ann Arbor 677
Seattle 638
Jacksonville 634
Wilmington 600
Cambridge 554
Santa Clara 399
Ho Chi Minh City 383
Chandler 370
Hanoi 318
Los Angeles 264
Boardman 253
Beijing 248
Princeton 199
Munich 174
San Diego 171
Lauterbourg 158
Helsinki 153
Medford 129
Bytom 118
Chicago 115
Des Moines 109
Da Nang 97
Padova 90
Nanjing 85
Tashkent 77
Buffalo 76
New York 64
Dong Ket 62
Baghdad 61
Haiphong 56
São Paulo 55
Managua 54
The Dalles 51
Council Bluffs 49
Dublin 49
Dallas 48
Bishkek 47
Abidjan 46
Amman 46
San José 46
Bridgetown 45
Dushanbe 45
Kigali 45
Riga 45
Baku 44
Cotonou 44
Harare 44
Luanda 44
Castries 43
London 43
Tokyo 43
Ulan Bator 43
Lusaka 42
Nairobi 41
Milan 38
Panama City 38
Shenyang 38
Dakar 36
Kampala 36
Salt Lake City 36
Podgorica 35
Addis Ababa 34
Antananarivo 34
Nouakchott 34
Turku 34
Willemstad 34
Zagreb 34
Phnom Penh 33
Vientiane 33
Belgrade 32
Nassau 32
Yerevan 32
Andorra la Vella 31
Libreville 31
Lima 31
Orem 31
Vienna 31
Biên Hòa 30
Kingston 30
Lilongwe 30
Conakry 29
Dubai 29
Noumea 29
Brazzaville 28
Lahore 28
Minsk 28
Guangzhou 27
Hebei 27
Montevideo 27
Redondo Beach 27
Tbilisi 27
Bamako 26
Banjul 26
Totale 17.932
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Nome #
Derivative-Free Online Learning of Inverse Dynamics Models 408
A Bayesian approach to sparse dynamic network identification 341
Distributed Kalman filtering based on consensus strategies 326
LQG-like control of scalar systems over communication channels: The role of data losses, delays and SNR limitations 311
Kernel-based system identification with manifold regularization: A Bayesian perspective 275
Information fusion strategies from distributed filters in packet-drop networks 265
Macroscale coupling between structural and effective connectivity in the mouse brain 257
Subspace identification using predictor estimation via Gaussian regression 234
A PI Consensus Controller for Networked Clocks Synchronization 232
Assessing the impact of brain gliomas on effective connectivity gradients 228
Efficient algorithms for large scale linear system identification using stable spline estimators 226
LQG cheap control subject to packet loss and SNR limitations 226
A Bayesian Approach to Sparse plus Low rank Network Identification 225
On the relation between CCA and predictor-based subspace identification 222
Optimal Structure From Motion: Local Ambiguities and Global Estimates 218
Maximum entropy properties of discrete-time first-order stable spline kernel 216
Controlling target brain regions by optimal selection of input nodes 215
Linear encoder-decoder-controller design over channels with packet loss and quantization noise 212
Analyzing asymmetry in brain hierarchies with a linear state-space model of resting-state fMRI data 211
Harnessing uncertainty for a separation principle in direct data-driven predictive control 211
Applications of Hybrid System Identification in Computer Vision 211
On the Ill-conditioning of subspace identification with inputs 209
Monte Carlo filtering on Lie Groups 205
System Identification: A Machine Learning Perspective 203
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator 202
Observability and Identifiability of Jump Linear Systems 198
The Transient Predictor 197
Constructing the state of Random Processes with Feedback 197
Assessing the relationship between hemodynamic alterations and [18F]FDG PET microparameters in brain gliomas 196
Modeling and synthesis of facial motion driven by speech 193
Gossip Algorithms for Simultaneous Distributed Estimation and Classification in Sensor Networks 192
Structure from Motion Causally Integrated over Time 190
Asymptotic Variance of Closed-Loop Subspace Identification Methods 190
Dynamic Calibration of Adaptive Optics Systems: A System Identification Approach 188
A New Kernel-Based Approach for NonlinearSystem Identification 188
Online semi-parametric learning for inverse dynamics modeling 187
Snippets of System Identification in Computer Vision 186
The Role of Vector Autoregressive Modeling in Predictor Based Subspace Identification 186
A Bayesian learning approach to linear system identification with missing data 186
3-D Motion and Structure Causally Integrated Over Time: Theory 186
On the Impact of Regularization in Data-Driven Predictive Control 185
Performance bounds for information fusion strategies in packet-drop networks 185
Asymptotic variance of subspace methods by data orthogonalization andmodel decoupling: a comparative analysis 184
Integration of Shape Constraints in Data Association Filters 183
Model reduction for linear Bayesian System Identification 183
Incoming and Outgoing Information Flows Relate with Node Functional Strength both in Human and Mouse Resting State fMRI 183
Fast computation of smoothing splines subject to equality constraints 180
Asymptotic Variance of a Certain Closed-Loop Subspace Identification Method 180
Predictor estimation via Gaussian regression 179
Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator 179
Stable spline identification of linear systems under missing data 179
The Role of Vector Autoregressive Modeling in Predictor Based Subspace Identification 177
Maximum Entropy Vector Kernels for MIMO system identification 177
Effective-metabolic coupling discriminates brain lesion localisation in patients with gliomas 177
Consistency Analysis of some Closed-Loop Subspace Identification Methods 175
Regularization and Bayesian learning in dynamical systems: Past, present and future 175
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint 175
Information fusion strategies and performance bounds in packet-drop networks 174
Dynamic Calibration of Adaptive Optics Systems: A System Identification Approach 173
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data 173
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets 172
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso 172
Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method 171
Revealing the Spatial Pattern of Brain Hemodynamic Sensitivity to Healthy Aging through Sparse Dynamic Causal Model 170
Optimal Synchronization for Networks of Noisy Double Integrators 169
On-line Bayesian system identification 168
Observability of Linear Hybrid Systems 167
The harmonic analysis of kernel functions 167
CoRe: Control-oriented Regularization for System Identification 167
The role of noise modeling in the estimation of resting-state brain effective connectivity 167
Single region contribution to the brain dynamic (in)stability 165
Dynamic Brain Networks with Prescribed Functional Connectivity 165
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms 165
Remote estimation subject to packet loss and quantization noise 165
On the design of Multiple Kernels for nonparametric linear system identification 164
On Dynamic Network Modeling of Stationary Multivariate Processes 163
Estimating Koopman operators for nonlinear dynamical systems: A nonparametric approach 163
Deep learning-based Phase Retrieval Scheme for Minimum Phase Signal Recovery 162
Asymptotic Variance of Subspace Estimates 162
Spectral analysis of the DC kernel for regularized system identification 162
The role of rank penalties in linear system identification 162
Prediction error identification of linear systems: A nonparametric Gaussian regression approach 162
Non-iterative control-oriented regularization for linear system identification 162
Identification of stable models via nonparametric prediction error methods 161
Online identification of time-varying systems: A Bayesian approach 161
Some identification techniques in computer vision 160
A wide-sense estimation theory on the unit sphere 159
Recognition of human gaits 159
A SCALED GRADIENT PROJECTION METHOD FOR BAYESIAN LEARNING IN DYNAMICAL SYSTEMS 158
Machine learning method of phase extraction in distributed acoustic sensing scheme based on optical frequency domain reflectometry 157
PI-shaped LQG control design for adaptive optics systems 157
BOLD-based hemodynamic features inferred from dynamic causal modeling relate to subject’s age range 156
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties 156
Non Linear Temporal Textures Synthesis: A Monte Carlo Approach 156
Robust inference for visual-inertial sensor fusion 155
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels 154
Dynamic Textures 154
Regularized System Identification 153
Subspace identification by data orthogonalization and model decoupling 153
Regularization strategies for nonparametric system identification 153
Totale 18.999
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Categoria #
all - tutte 83.032
article - articoli 27.844
book - libri 441
conference - conferenze 0
curatela - curatele 664
other - altro 351
patent - brevetti 0
selected - selezionate 0
volume - volumi 2.615
Totale 114.947
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.755 0 180 316 98 101 61 96 224 94 42 272 271
2022/20231.153 286 13 11 90 220 169 14 111 135 12 70 22
2023/2024623 20 76 51 54 49 42 30 28 42 20 107 104
2024/20253.759 34 229 177 141 601 110 220 345 276 153 608 865
2025/202614.347 392 1.085 2.482 2.660 1.313 463 2.049 1.178 1.271 811 373 270
2026/2027468 392 76 0 0 0 0 0 0 0 0 0 0
Totale 29.393