PILLONETTO, GIANLUIGI
 Distribuzione geografica
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Continente #
NA - Nord America 11.975
AS - Asia 1.807
EU - Europa 1.511
SA - Sud America 172
AF - Africa 26
OC - Oceania 7
Continente sconosciuto - Info sul continente non disponibili 2
Totale 15.500
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Nazione #
US - Stati Uniti d'America 11.960
SG - Singapore 936
CN - Cina 562
FI - Finlandia 322
DE - Germania 261
IT - Italia 224
BR - Brasile 162
FR - Francia 157
VN - Vietnam 129
HK - Hong Kong 124
RU - Federazione Russa 113
UA - Ucraina 102
SE - Svezia 98
GB - Regno Unito 86
PL - Polonia 82
NL - Olanda 23
IN - India 22
CI - Costa d'Avorio 18
CA - Canada 10
CH - Svizzera 10
AT - Austria 9
IE - Irlanda 9
JP - Giappone 6
TR - Turchia 6
RS - Serbia 5
BD - Bangladesh 4
ES - Italia 4
NZ - Nuova Zelanda 4
AU - Australia 3
GR - Grecia 3
IQ - Iraq 3
PE - Perù 3
AR - Argentina 2
EG - Egitto 2
EU - Europa 2
MX - Messico 2
NP - Nepal 2
PA - Panama 2
PK - Pakistan 2
UZ - Uzbekistan 2
ZA - Sudafrica 2
BH - Bahrain 1
BO - Bolivia 1
CL - Cile 1
DZ - Algeria 1
EC - Ecuador 1
ID - Indonesia 1
IR - Iran 1
KE - Kenya 1
KG - Kirghizistan 1
KR - Corea 1
LK - Sri Lanka 1
LU - Lussemburgo 1
MA - Marocco 1
MK - Macedonia 1
SA - Arabia Saudita 1
SK - Slovacchia (Repubblica Slovacca) 1
SN - Senegal 1
SV - El Salvador 1
TH - Thailandia 1
TW - Taiwan 1
UY - Uruguay 1
VE - Venezuela 1
Totale 15.500
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Città #
Fairfield 2.139
Woodbridge 1.327
Houston 1.167
Ashburn 897
Seattle 793
Ann Arbor 784
Wilmington 712
Cambridge 663
Jacksonville 534
Chandler 466
Singapore 426
Santa Clara 316
Boardman 288
Princeton 241
San Diego 186
Medford 171
Des Moines 158
Helsinki 157
Dong Ket 127
Hong Kong 121
Nanjing 114
Padova 96
Munich 94
Bytom 82
Beijing 65
Roxbury 50
Shenyang 37
Changsha 32
Nanchang 32
London 31
Hebei 29
Jiaxing 26
Guangzhou 25
Norwalk 22
Abidjan 18
Falkenstein 18
Jinan 18
Washington 16
São Paulo 15
Tianjin 14
Kilburn 13
Ningbo 12
Nuremberg 10
Codognè 9
Dallas 9
Dublin 9
Milan 9
New York 9
Zurich 9
Santa Lucia di Piave 8
Zhengzhou 8
Council Bluffs 7
Jyväskylä 7
Kharkiv 7
Quanzhou 7
Shanghai 7
Borås 6
Hangzhou 6
Rio de Janeiro 6
Curitiba 5
Wuhan 5
Muggiò 4
North Bergen 4
Ogden 4
Redmond 4
Verona 4
Amsterdam 3
Belgrade 3
Belo Horizonte 3
Campinas 3
Casale sul Sile 3
Chicago 3
Frankfurt am Main 3
Guarulhos 3
Haikou 3
Indiana 3
Lanzhou 3
Lima 3
Los Angeles 3
Miami 3
Montreal 3
Pinehaven 3
Prescot 3
Saint Petersburg 3
The Dalles 3
Tokyo 3
Vienna 3
Alvorada 2
Arezzo 2
Bengaluru 2
Beograd 2
Botucatu 2
Brasília 2
Calgary 2
Canoas 2
Caruaru 2
Caxias 2
Chapel Hill 2
Columbus 2
Denver 2
Totale 12.784
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Nome #
A novel Multiplicative Polynomial Kernel for Volterra series identification 183
A new kernel-based approach for linear system identification 180
A Bayesian approach to sparse dynamic network identification 179
Regularized spectrum estimation using stable spline kernels 144
Newton-Raphson consensus for distributed convex optimization 140
A multi-task learning approach for the extraction of single-trial evoked potentials 140
Distributed multi-agent Gaussian regression via finite-dimensional approximations 133
On the discardability of data in Support Vector Classification problems 131
Multidimensional Newton-Raphson consensus for distributed convex optimization 127
An index of parameter reproducibility accounting for estimation uncertainty: Theory and case study on β-cell responsivity and insulin sensitivity 122
A new dynamic index of insulin sensitivity 121
Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov 121
Distributed Kalman filtering for Time-Space Gaussian Processes * *This work is supported by Progetto di Ateneo CPDA147754/14-New statistical learning approach for multi-agents adaptive estimation and coverage control 121
The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions 120
Kernel selection in linear system identification. Part I: a Gaussian process perspective 116
A new kernel-based approach for system identification 115
Maximum entropy properties of discrete-time first-order stable spline kernel 114
System Identification: A Machine Learning Perspective 114
Newton-Raphson Consensus for Distributed Convex Optimization 112
Boosting as a kernel-based method 112
Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals 112
Efficient algorithms for large scale linear system identification using stable spline estimators 110
Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method 109
Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approach 109
Consistent identification of Wiener systems: A machine learning viewpoint 109
Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method 108
Learning Using State Space Kernel Machines 107
A variation of the Newton–Pepys problem and its connections to size-estimation problems 107
Dynamic insulin sensitivity index: importance in diabetes. 106
Bayesian learning of probability density functions: a Markov chain Monte Carlo approach 105
Perspectives of orthonormal basis functions based kernels in Bayesian system identification? 105
Wavelet estimation by Bayesian thresholding and model selection 104
Prediction error identification of linear systems: A nonparametric Gaussian regression approach 104
Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability 104
A Novel Nonparametric Population Deconvolution for DSC-MRI Quantification: Assessment on Simulated Data 103
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation 103
Maximum Entropy Vector Kernels for MIMO system identification 102
Subspace identification using predictor estimation via Gaussian regression 101
Fast computation of smoothing splines subject to equality constraints 101
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator 101
Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework 100
Stable spline identification of linear systems under missing data 100
Predictor estimation via Gaussian regression 99
Multi-agents adaptive estimation and coverage control using Gaussian regression 99
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint 99
A New Kernel-Based Approach for NonlinearSystem Identification 99
Consensus based estimation of anonymous networks size using Bernoulli trials 98
Multi-robots Gaussian estimation and coverage control: From client–server to peer-to-peer architectures 98
The role of rank penalties in linear system identification 96
Finding Potential Support Vectors in Separable Classification Problems 96
Online estimation of covariance parameters using extended Kalman filtering and application to robot localization 95
Kernel-based model order selection for identification and prediction of linear dynamic systems 95
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets 95
Machine learning meets Kalman Filtering 95
On the design of Multiple Kernels for nonparametric linear system identification 94
Spectral analysis of the DC kernel for regularized system identification 94
Bayesian identification of LPV Box-Jenkins models 94
Auto-tuning procedures for distributed nonparametric regression algorithms 94
Identification of time-varying systems in Reproducing Kernel Hilbert Spaces 93
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization 93
Deconvolution for Physiological Signal Analysis 93
On the estimation of hyperparameters for Empirical Bayes estimators: Maximum Marginal Likelihood vs Minimum MSE 93
Asynchronous Newton-Raphson Consensus for Distributed Convex Optimization 93
Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator 93
Identification of stable models via nonparametric prediction error methods 93
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso 93
Robust em kernel-based methods for linear system identification 93
Outlier robust kernel-based system identification using ℓ1-Laplace techniques 92
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable 91
Motion planning using adaptive random walks 91
A Bayesian learning approach to linear system identification with missing data 91
Distributed Kalman smoothing in static Bayesian networks 91
Efficient spatio-temporal Gaussian regression via Kalman filtering 91
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 90
Proprioceptive Robot Collision Detection through Gaussian Process Regression 90
Solutions of nonlinear control and estimation problems in Reproducing Kernel Hilbert Spaces: existence and numerical determination 89
Distributed Function and Time Delay Estimation using Nonparametric Techniques 89
A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients 89
Distributed Cardinality Estimation in Anonymous Networks 89
Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization 89
A distributed Kalman smoother 89
New Trends in Nonparametric Linear System Identification, 88
A statistical and computational theory for robust and sparse Kalman smoothing 88
A new kernel-based approach for identification of time-varying linear systems 87
Rank-1 kernels for regularized system identification 87
Bayesian online multi-task learning using regularization networks 86
Kernel-based model order selection for linear system identification 86
Identification of hybrid systems using stable spline kernels 86
A new kernel-based approach to hybrid system identification 86
Regularization strategies for nonparametric system identification 85
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance 84
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels 84
Distributed parametric and nonparametric regression with on-line performance bounds computation 83
Multirobot localization with unknown variance parameters using iterated Kalman filtering 81
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms 81
Bayesian kernel-based system identification with quantized output data 79
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 79
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs 79
Robot motion planning using adaptive random walks 78
Estimating inputs of nonlinear dynamical systems using differential algebra techniques 78
Totale 10.178
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Categoria #
all - tutte 60.613
article - articoli 29.361
book - libri 458
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.440
Totale 91.872
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020254 0 0 0 0 0 0 0 0 0 0 129 125
2020/20212.025 91 134 97 112 104 198 90 205 357 128 290 219
2021/20222.515 87 316 326 164 86 133 157 282 141 131 260 432
2022/20231.370 341 35 25 80 278 209 14 104 171 17 78 18
2023/2024772 23 90 97 65 54 106 29 53 14 18 100 123
2024/20252.688 8 219 168 171 711 127 201 326 368 152 237 0
Totale 15.670