PILLONETTO, GIANLUIGI
 Distribuzione geografica
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Continente #
NA - Nord America 11.886
AS - Asia 1.192
EU - Europa 1.132
SA - Sud America 6
OC - Oceania 4
AF - Africa 2
Continente sconosciuto - Info sul continente non disponibili 2
Totale 14.224
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Nazione #
US - Stati Uniti d'America 11.878
CN - Cina 558
SG - Singapore 462
FI - Finlandia 277
IT - Italia 194
FR - Francia 155
DE - Germania 146
VN - Vietnam 129
SE - Svezia 98
UA - Ucraina 98
GB - Regno Unito 83
RU - Federazione Russa 37
IN - India 22
NL - Olanda 15
IE - Irlanda 7
CA - Canada 6
CH - Svizzera 6
JP - Giappone 6
ES - Italia 4
HK - Hong Kong 4
RS - Serbia 4
AT - Austria 3
GR - Grecia 3
NZ - Nuova Zelanda 3
BR - Brasile 2
EU - Europa 2
PE - Perù 2
PK - Pakistan 2
TR - Turchia 2
AU - Australia 1
BD - Bangladesh 1
BO - Bolivia 1
CL - Cile 1
EG - Egitto 1
ID - Indonesia 1
IR - Iran 1
KR - Corea 1
LK - Sri Lanka 1
LU - Lussemburgo 1
MX - Messico 1
PA - Panama 1
SK - Slovacchia (Repubblica Slovacca) 1
SN - Senegal 1
TH - Thailandia 1
TW - Taiwan 1
Totale 14.224
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Città #
Fairfield 2.139
Woodbridge 1.327
Houston 1.166
Ashburn 894
Seattle 793
Ann Arbor 784
Wilmington 712
Cambridge 663
Jacksonville 534
Chandler 465
Singapore 360
Santa Clara 314
Boardman 285
Princeton 240
San Diego 186
Medford 170
Des Moines 157
Dong Ket 127
Helsinki 120
Nanjing 114
Padova 95
Beijing 63
Roxbury 50
Shenyang 37
Changsha 32
Nanchang 32
London 31
Hebei 29
Jiaxing 26
Guangzhou 25
Norwalk 22
Munich 21
Jinan 17
Washington 16
Tianjin 14
Kilburn 13
Ningbo 12
Dallas 9
New York 9
Santa Lucia di Piave 8
Zhengzhou 8
Dublin 7
Kharkiv 7
Quanzhou 7
Shanghai 7
Borås 6
Hangzhou 6
Milan 5
Wuhan 5
Zurich 5
Hong Kong 4
Muggiò 4
North Bergen 4
Ogden 4
Redmond 4
Casale sul Sile 3
Chicago 3
Council Bluffs 3
Haikou 3
Indiana 3
Lanzhou 3
Los Angeles 3
Miami 3
Montreal 3
Nuremberg 3
Pinehaven 3
Prescot 3
Saint Petersburg 3
Tokyo 3
Arezzo 2
Belgrade 2
Bengaluru 2
Beograd 2
Chapel Hill 2
Columbus 2
Curitiba 2
Denver 2
Falkenstein 2
Frankfurt am Main 2
Fukuoka 2
Fuzhou 2
Hanover 2
Ho Chi Minh City 2
Lappeenranta 2
Las Vegas 2
Leawood 2
Lendinara 2
Lima 2
Montrouge 2
Moscow 2
Needham 2
Philadelphia 2
Putian 2
Rawalpindi 2
Reggio Nell'emilia 2
Rockville 2
Rome 2
Rovigo 2
San Francisco 2
Southwark 2
Totale 12.298
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Nome #
A Bayesian approach to sparse dynamic network identification 166
A new kernel-based approach for linear system identification 157
Regularized spectrum estimation using stable spline kernels 139
A multi-task learning approach for the extraction of single-trial evoked potentials 133
Newton-Raphson consensus for distributed convex optimization 130
Distributed multi-agent Gaussian regression via finite-dimensional approximations 128
On the discardability of data in Support Vector Classification problems 124
Multidimensional Newton-Raphson consensus for distributed convex optimization 121
A new dynamic index of insulin sensitivity 116
An index of parameter reproducibility accounting for estimation uncertainty: Theory and case study on β-cell responsivity and insulin sensitivity 115
The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions 115
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 114
Kernel selection in linear system identification. Part I: a Gaussian process perspective 113
Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov 111
Maximum entropy properties of discrete-time first-order stable spline kernel 108
Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals 108
Newton-Raphson Consensus for Distributed Convex Optimization 107
Boosting as a kernel-based method 106
A new kernel-based approach for system identification 105
Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method 105
Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approach 105
Consistent identification of Wiener systems: A machine learning viewpoint 105
System Identification: A Machine Learning Perspective 105
Learning Using State Space Kernel Machines 104
Dynamic insulin sensitivity index: importance in diabetes. 103
Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method 103
Prediction error identification of linear systems: A nonparametric Gaussian regression approach 103
Bayesian learning of probability density functions: a Markov chain Monte Carlo approach 102
Wavelet estimation by Bayesian thresholding and model selection 101
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation 101
Efficient algorithms for large scale linear system identification using stable spline estimators 101
Perspectives of orthonormal basis functions based kernels in Bayesian system identification? 99
A variation of the Newton–Pepys problem and its connections to size-estimation problems 97
Maximum Entropy Vector Kernels for MIMO system identification 96
Predictor estimation via Gaussian regression 95
Fast computation of smoothing splines subject to equality constraints 95
Consensus based estimation of anonymous networks size using Bernoulli trials 95
Stable spline identification of linear systems under missing data 95
Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability 95
Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework 94
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator 94
Finding Potential Support Vectors in Separable Classification Problems 94
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint 94
Identification of time-varying systems in Reproducing Kernel Hilbert Spaces 92
A Novel Nonparametric Population Deconvolution for DSC-MRI Quantification: Assessment on Simulated Data 92
Multi-agents adaptive estimation and coverage control using Gaussian regression 92
Online estimation of covariance parameters using extended Kalman filtering and application to robot localization 91
On the design of Multiple Kernels for nonparametric linear system identification 91
Spectral analysis of the DC kernel for regularized system identification 91
The role of rank penalties in linear system identification 91
A New Kernel-Based Approach for NonlinearSystem Identification 91
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization 90
Kernel-based model order selection for identification and prediction of linear dynamic systems 90
Motion planning using adaptive random walks 89
Subspace identification using predictor estimation via Gaussian regression 89
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable 88
Distributed Function and Time Delay Estimation using Nonparametric Techniques 88
Distributed Kalman smoothing in static Bayesian networks 88
Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator 88
Bayesian identification of LPV Box-Jenkins models 88
Auto-tuning procedures for distributed nonparametric regression algorithms 88
Solutions of nonlinear control and estimation problems in Reproducing Kernel Hilbert Spaces: existence and numerical determination 87
Deconvolution for Physiological Signal Analysis 87
Asynchronous Newton-Raphson Consensus for Distributed Convex Optimization 87
Multi-robots Gaussian estimation and coverage control: From client–server to peer-to-peer architectures 87
Robust em kernel-based methods for linear system identification 87
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets 86
Distributed Cardinality Estimation in Anonymous Networks 85
Outlier robust kernel-based system identification using ℓ1-Laplace techniques 85
Machine learning meets Kalman Filtering 85
On the estimation of hyperparameters for Empirical Bayes estimators: Maximum Marginal Likelihood vs Minimum MSE 84
New Trends in Nonparametric Linear System Identification, 84
Identification of stable models via nonparametric prediction error methods 84
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 84
A distributed Kalman smoother 84
Efficient spatio-temporal Gaussian regression via Kalman filtering 84
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance 83
Bayesian online multi-task learning using regularization networks 83
A Bayesian learning approach to linear system identification with missing data 83
A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients 83
Kernel-based model order selection for linear system identification 83
Rank-1 kernels for regularized system identification 83
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso 83
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels 82
Proprioceptive Robot Collision Detection through Gaussian Process Regression 81
A new kernel-based approach for identification of time-varying linear systems 80
Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization 80
Multirobot localization with unknown variance parameters using iterated Kalman filtering 78
Distributed parametric and nonparametric regression with on-line performance bounds computation 78
A statistical and computational theory for robust and sparse Kalman smoothing 78
A new kernel-based approach to hybrid system identification 78
Regularization strategies for nonparametric system identification 77
Identification of hybrid systems using stable spline kernels 77
Estimating inputs of nonlinear dynamical systems using differential algebra techniques 75
Robot motion planning using adaptive random walks 74
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms 74
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 74
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs 74
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties 73
A novel Multiplicative Polynomial Kernel for Volterra series identification 73
Totale 9.481
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Categoria #
all - tutte 53.719
article - articoli 26.012
book - libri 392
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.273
Totale 81.396
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20201.528 0 0 0 0 0 0 282 339 362 291 129 125
2020/20212.025 91 134 97 112 104 198 90 205 357 128 290 219
2021/20222.509 87 316 326 164 86 133 155 281 141 131 259 430
2022/20231.367 338 35 25 80 278 209 14 104 171 17 78 18
2023/2024770 23 90 97 65 54 106 29 52 14 18 100 122
2024/20251.405 8 219 167 171 707 126 7 0 0 0 0 0
Totale 14.376