PILLONETTO, GIANLUIGI
 Distribuzione geografica
Continente #
NA - Nord America 11.112
EU - Europa 903
AS - Asia 814
SA - Sud America 6
OC - Oceania 4
AF - Africa 2
Continente sconosciuto - Info sul continente non disponibili 2
Totale 12.843
Nazione #
US - Stati Uniti d'America 11.106
CN - Cina 445
FI - Finlandia 256
SG - Singapore 205
IT - Italia 166
VN - Vietnam 129
DE - Germania 113
SE - Svezia 98
UA - Ucraina 98
GB - Regno Unito 82
FR - Francia 44
IN - India 22
NL - Olanda 15
IE - Irlanda 7
CA - Canada 6
CH - Svizzera 6
JP - Giappone 6
ES - Italia 4
RS - Serbia 4
RU - Federazione Russa 4
NZ - Nuova Zelanda 3
AT - Austria 2
BR - Brasile 2
EU - Europa 2
GR - Grecia 2
PE - Perù 2
TR - Turchia 2
AU - Australia 1
BO - Bolivia 1
CL - Cile 1
EG - Egitto 1
ID - Indonesia 1
IR - Iran 1
KR - Corea 1
LU - Lussemburgo 1
SK - Slovacchia (Repubblica Slovacca) 1
SN - Senegal 1
TH - Thailandia 1
TW - Taiwan 1
Totale 12.843
Città #
Fairfield 2.139
Woodbridge 1.327
Houston 1.167
Ashburn 893
Seattle 793
Ann Arbor 784
Wilmington 712
Cambridge 663
Jacksonville 534
Chandler 466
Princeton 241
San Diego 186
Medford 171
Des Moines 158
Dong Ket 127
Singapore 119
Nanjing 114
Helsinki 99
Padova 89
Boardman 70
Beijing 62
Roxbury 50
Shenyang 37
Nanchang 32
Changsha 31
Hebei 29
London 29
Jiaxing 26
Guangzhou 22
Norwalk 22
Jinan 16
Tianjin 14
Kilburn 13
Washington 13
Ningbo 12
New York 9
Santa Lucia di Piave 8
Zhengzhou 8
Dublin 7
Kharkiv 7
Borås 6
Hangzhou 6
Zurich 5
Muggiò 4
Ogden 4
Redmond 4
Wuhan 4
Casale sul Sile 3
Chicago 3
Council Bluffs 3
Haikou 3
Indiana 3
Lanzhou 3
Los Angeles 3
Milan 3
Montreal 3
Pinehaven 3
Prescot 3
Saint Petersburg 3
Shanghai 3
Tokyo 3
Arezzo 2
Belgrade 2
Bengaluru 2
Beograd 2
Chapel Hill 2
Columbus 2
Curitiba 2
Denver 2
Fukuoka 2
Hanover 2
Ho Chi Minh City 2
Lappeenranta 2
Las Vegas 2
Leawood 2
Lendinara 2
Lima 2
Montrouge 2
Needham 2
Nuremberg 2
Philadelphia 2
Reggio Nell'emilia 2
Rockville 2
Rovigo 2
San Francisco 2
Southwark 2
Taiyuan 2
Veldhoven 2
Vienna 2
Wandsworth 2
Acton 1
Amsterdam 1
Ankara 1
Ardabil 1
Augusta 1
Avellino 1
Bangkok 1
Belluno 1
Bochum 1
Braunschweig 1
Totale 11.442
Nome #
A Bayesian approach to sparse dynamic network identification 130
Regularized spectrum estimation using stable spline kernels 130
Distributed multi-agent Gaussian regression via finite-dimensional approximations 122
A multi-task learning approach for the extraction of single-trial evoked potentials 121
A new kernel-based approach for linear system identification 119
On the discardability of data in Support Vector Classification problems 117
Multidimensional Newton-Raphson consensus for distributed convex optimization 117
Newton-Raphson consensus for distributed convex optimization 115
A new dynamic index of insulin sensitivity 110
Kernel selection in linear system identification. Part I: a Gaussian process perspective 108
The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions 106
Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov 104
Newton-Raphson Consensus for Distributed Convex Optimization 104
Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals 104
Learning Using State Space Kernel Machines 101
Consistent identification of Wiener systems: A machine learning viewpoint 101
Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method 100
System Identification: A Machine Learning Perspective 100
An index of parameter reproducibility accounting for estimation uncertainty: Theory and case study on β-cell responsivity and insulin sensitivity 100
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 99
Boosting as a kernel-based method 99
Dynamic insulin sensitivity index: importance in diabetes. 98
Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approach 98
A new kernel-based approach for system identification 97
Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method 97
Maximum entropy properties of discrete-time first-order stable spline kernel 96
Prediction error identification of linear systems: A nonparametric Gaussian regression approach 96
Wavelet estimation by Bayesian thresholding and model selection 95
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation 95
Bayesian learning of probability density functions: a Markov chain Monte Carlo approach 95
Perspectives of orthonormal basis functions based kernels in Bayesian system identification? 94
Efficient algorithms for large scale linear system identification using stable spline estimators 92
Predictor estimation via Gaussian regression 91
Fast computation of smoothing splines subject to equality constraints 91
Finding Potential Support Vectors in Separable Classification Problems 91
Consensus based estimation of anonymous networks size using Bernoulli trials 90
Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework 90
Stable spline identification of linear systems under missing data 90
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator 89
A variation of the Newton–Pepys problem and its connections to size-estimation problems 89
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint 88
Maximum Entropy Vector Kernels for MIMO system identification 87
On the design of Multiple Kernels for nonparametric linear system identification 86
Spectral analysis of the DC kernel for regularized system identification 86
The role of rank penalties in linear system identification 86
Multi-agents adaptive estimation and coverage control using Gaussian regression 86
Identification of time-varying systems in Reproducing Kernel Hilbert Spaces 85
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization 85
Subspace identification using predictor estimation via Gaussian regression 85
Kernel-based model order selection for identification and prediction of linear dynamic systems 85
A Novel Nonparametric Population Deconvolution for DSC-MRI Quantification: Assessment on Simulated Data 84
Deconvolution for Physiological Signal Analysis 84
Online estimation of covariance parameters using extended Kalman filtering and application to robot localization 84
Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator 84
Bayesian identification of LPV Box-Jenkins models 84
Solutions of nonlinear control and estimation problems in Reproducing Kernel Hilbert Spaces: existence and numerical determination 83
Distributed Kalman smoothing in static Bayesian networks 83
Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability 83
Distributed Cardinality Estimation in Anonymous Networks 82
Auto-tuning procedures for distributed nonparametric regression algorithms 82
Motion planning using adaptive random walks 81
Distributed Function and Time Delay Estimation using Nonparametric Techniques 81
Multi-robots Gaussian estimation and coverage control: From client–server to peer-to-peer architectures 81
A New Kernel-Based Approach for NonlinearSystem Identification 81
New Trends in Nonparametric Linear System Identification, 80
Robust em kernel-based methods for linear system identification 80
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable 79
On the estimation of hyperparameters for Empirical Bayes estimators: Maximum Marginal Likelihood vs Minimum MSE 79
Outlier robust kernel-based system identification using ℓ1-Laplace techniques 79
Kernel-based model order selection for linear system identification 78
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 78
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets 78
Machine learning meets Kalman Filtering 78
Bayesian online multi-task learning using regularization networks 77
Asynchronous Newton-Raphson Consensus for Distributed Convex Optimization 77
Rank-1 kernels for regularized system identification 77
Identification of stable models via nonparametric prediction error methods 77
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso 77
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance 76
A Bayesian learning approach to linear system identification with missing data 76
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels 76
A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients 76
A distributed Kalman smoother 75
Distributed parametric and nonparametric regression with on-line performance bounds computation 74
A new kernel-based approach for identification of time-varying linear systems 74
Proprioceptive Robot Collision Detection through Gaussian Process Regression 74
Regularization strategies for nonparametric system identification 73
Identification of hybrid systems using stable spline kernels 73
Multirobot localization with unknown variance parameters using iterated Kalman filtering 72
Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization 72
Estimating inputs of nonlinear dynamical systems using differential algebra techniques 71
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 71
A new kernel-based approach to hybrid system identification 70
Robot motion planning using adaptive random walks 68
A statistical and computational theory for robust and sparse Kalman smoothing 68
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs 68
WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems 67
Robust and Trend-following Kalman Smoothers using Student's t 66
System identification using kernel-based regularization: New insights on stability and consistency issues 66
Efficient spatio-temporal Gaussian regression via Kalman filtering 66
Totale 8.763
Categoria #
all - tutte 45.706
article - articoli 22.270
book - libri 316
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.043
Totale 69.335


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20202.971 468 80 43 273 339 240 282 339 362 291 129 125
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
2024/20253 3 0 0 0 0 0 0 0 0 0 0 0
Totale 12.985