PILLONETTO, GIANLUIGI
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
NA - Nord America 11.099
EU - Europa 890
AS - Asia 608
SA - Sud America 4
OC - Oceania 3
AF - Africa 2
Continente sconosciuto - Info sul continente non disponibili 2
Totale 12.608
Salva come PNG Salva come JPEG
Nazione #
US - Stati Uniti d'America 11.093
CN - Cina 445
FI - Finlandia 252
IT - Italia 163
VN - Vietnam 129
DE - Germania 110
SE - Svezia 98
UA - Ucraina 98
GB - Regno Unito 82
FR - Francia 43
IN - India 21
NL - Olanda 13
IE - Irlanda 7
CA - Canada 6
CH - Svizzera 6
JP - Giappone 5
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
SG - Singapore 2
TR - Turchia 2
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
Totale 12.608
Salva come PNG Salva come JPEG
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
Nanjing 114
Helsinki 96
Padova 86
Boardman 69
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
Milan 3
Montreal 3
Pinehaven 3
Prescot 3
Saint Petersburg 3
Shanghai 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
Las Vegas 2
Leawood 2
Lendinara 2
Montrouge 2
Needham 2
Philadelphia 2
Reggio Nell'emilia 2
Rockville 2
Rovigo 2
San Francisco 2
Southwark 2
Taiyuan 2
Tokyo 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
Brendola 1
Brest 1
Buffalo 1
Cairo 1
Calgary 1
Centro 1
Totale 11.310
Salva come PNG Salva come JPEG
Nome #
Regularized spectrum estimation using stable spline kernels 129
A Bayesian approach to sparse dynamic network identification 127
A multi-task learning approach for the extraction of single-trial evoked potentials 120
Distributed multi-agent Gaussian regression via finite-dimensional approximations 120
Multidimensional Newton-Raphson consensus for distributed convex optimization 116
A new kernel-based approach for linear system identification 115
On the discardability of data in Support Vector Classification problems 114
Newton-Raphson consensus for distributed convex optimization 113
A new dynamic index of insulin sensitivity 110
Kernel selection in linear system identification. Part I: a Gaussian process perspective 107
The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions 105
Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals 104
Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov 102
Newton-Raphson Consensus for Distributed Convex Optimization 102
Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method 100
Learning Using State Space Kernel Machines 100
Consistent identification of Wiener systems: A machine learning viewpoint 100
An index of parameter reproducibility accounting for estimation uncertainty: Theory and case study on β-cell responsivity and insulin sensitivity 99
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 98
Boosting as a kernel-based method 98
Dynamic insulin sensitivity index: importance in diabetes. 97
Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approach 97
A new kernel-based approach for system identification 96
Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method 96
Maximum entropy properties of discrete-time first-order stable spline kernel 95
Prediction error identification of linear systems: A nonparametric Gaussian regression approach 95
System Identification: A Machine Learning Perspective 95
Wavelet estimation by Bayesian thresholding and model selection 94
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation 94
Bayesian learning of probability density functions: a Markov chain Monte Carlo approach 93
Perspectives of orthonormal basis functions based kernels in Bayesian system identification? 93
Efficient algorithms for large scale linear system identification using stable spline estimators 91
Predictor estimation via Gaussian regression 90
Fast computation of smoothing splines subject to equality constraints 90
Finding Potential Support Vectors in Separable Classification Problems 90
Consensus based estimation of anonymous networks size using Bernoulli trials 89
Stable spline identification of linear systems under missing data 89
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator 88
A variation of the Newton–Pepys problem and its connections to size-estimation problems 88
Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework 87
On the design of Multiple Kernels for nonparametric linear system identification 86
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint 86
Maximum Entropy Vector Kernels for MIMO system identification 86
The role of rank penalties in linear system identification 85
Multi-agents adaptive estimation and coverage control using Gaussian regression 85
Identification of time-varying systems in Reproducing Kernel Hilbert Spaces 84
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization 84
Subspace identification using predictor estimation via Gaussian regression 84
Spectral analysis of the DC kernel for regularized system identification 84
Kernel-based model order selection for identification and prediction of linear dynamic systems 84
A Novel Nonparametric Population Deconvolution for DSC-MRI Quantification: Assessment on Simulated Data 83
Deconvolution for Physiological Signal Analysis 83
Online estimation of covariance parameters using extended Kalman filtering and application to robot localization 83
Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator 83
Bayesian identification of LPV Box-Jenkins models 83
Solutions of nonlinear control and estimation problems in Reproducing Kernel Hilbert Spaces: existence and numerical determination 82
Distributed Kalman smoothing in static Bayesian networks 82
Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability 82
Distributed Cardinality Estimation in Anonymous Networks 81
Auto-tuning procedures for distributed nonparametric regression algorithms 81
Motion planning using adaptive random walks 80
Distributed Function and Time Delay Estimation using Nonparametric Techniques 80
Multi-robots Gaussian estimation and coverage control: From client–server to peer-to-peer architectures 80
A New Kernel-Based Approach for NonlinearSystem Identification 80
New Trends in Nonparametric Linear System Identification, 79
Robust em kernel-based methods for linear system identification 79
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable 78
On the estimation of hyperparameters for Empirical Bayes estimators: Maximum Marginal Likelihood vs Minimum MSE 78
Kernel-based model order selection for linear system identification 77
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 77
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets 77
Machine learning meets Kalman Filtering 77
Bayesian online multi-task learning using regularization networks 76
Asynchronous Newton-Raphson Consensus for Distributed Convex Optimization 76
Rank-1 kernels for regularized system identification 76
Outlier robust kernel-based system identification using ℓ1-Laplace techniques 76
Identification of stable models via nonparametric prediction error methods 76
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance 75
A Bayesian learning approach to linear system identification with missing data 75
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels 75
A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients 75
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso 75
A new kernel-based approach for identification of time-varying linear systems 74
A distributed Kalman smoother 74
Distributed parametric and nonparametric regression with on-line performance bounds computation 73
Proprioceptive Robot Collision Detection through Gaussian Process Regression 73
Regularization strategies for nonparametric system identification 72
Identification of hybrid systems using stable spline kernels 72
Multirobot localization with unknown variance parameters using iterated Kalman filtering 71
Estimating inputs of nonlinear dynamical systems using differential algebra techniques 70
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 70
Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization 69
A new kernel-based approach to hybrid system identification 69
Robot motion planning using adaptive random walks 67
A statistical and computational theory for robust and sparse Kalman smoothing 67
The quest for the right kernel in Bayesian impulse response identification: The use of OBFs 67
WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems 66
Robust and Trend-following Kalman Smoothers using Student's t 65
System identification using kernel-based regularization: New insights on stability and consistency issues 65
Efficient spatio-temporal Gaussian regression via Kalman filtering 65
Totale 8.643
Salva come PNG Salva come JPEG
Categoria #
all - tutte 42.677
article - articoli 20.886
book - libri 286
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 957
Totale 64.806
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/20191.279 0 0 0 0 0 0 0 0 0 259 540 480
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
2023/2024540 23 90 97 65 54 106 29 53 14 9 0 0
Totale 12.750