PILLONETTO, GIANLUIGI
 Distribuzione geografica
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Continente #
NA - Nord America 10.855
EU - Europa 848
AS - Asia 583
OC - Oceania 3
Continente sconosciuto - Info sul continente non disponibili 2
SA - Sud America 2
AF - Africa 1
Totale 12.294
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Nazione #
US - Stati Uniti d'America 10.849
CN - Cina 424
FI - Finlandia 249
IT - Italia 137
VN - Vietnam 129
DE - Germania 108
SE - Svezia 98
UA - Ucraina 98
GB - Regno Unito 63
FR - Francia 42
IN - India 20
NL - Olanda 12
BE - Belgio 11
IE - Irlanda 7
CA - Canada 6
CH - Svizzera 6
JP - Giappone 4
RS - Serbia 4
RU - Federazione Russa 4
ES - Italia 3
NZ - Nuova Zelanda 3
AT - Austria 2
EU - Europa 2
GR - Grecia 2
TR - Turchia 2
BO - Bolivia 1
CL - Cile 1
EG - Egitto 1
IR - Iran 1
KR - Corea 1
LU - Lussemburgo 1
SG - Singapore 1
SK - Slovacchia (Repubblica Slovacca) 1
TH - Thailandia 1
Totale 12.294
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Città #
Fairfield 2.139
Woodbridge 1.327
Houston 1.167
Ann Arbor 784
Seattle 764
Ashburn 756
Wilmington 712
Cambridge 663
Jacksonville 534
Chandler 466
Princeton 241
San Diego 186
Medford 171
Des Moines 158
Dong Ket 127
Nanjing 114
Helsinki 94
Padova 85
Boardman 69
Beijing 52
Roxbury 50
Shenyang 37
Nanchang 32
Changsha 31
Hebei 29
London 28
Jiaxing 26
Norwalk 22
Guangzhou 21
Jinan 16
Tianjin 14
Washington 13
Ningbo 12
Brussels 11
Zhengzhou 8
Dublin 7
Kharkiv 7
Borås 6
Hangzhou 6
Zurich 5
Muggiò 4
Redmond 4
Wuhan 4
Chicago 3
Council Bluffs 3
Haikou 3
Indiana 3
Lanzhou 3
Milan 3
Montreal 3
Pinehaven 3
Saint Petersburg 3
Belgrade 2
Bengaluru 2
Beograd 2
Chapel Hill 2
Chiswick 2
Columbus 2
Denver 2
Fukuoka 2
Hanover 2
Ho Chi Minh City 2
Las Vegas 2
Leawood 2
Montrouge 2
Needham 2
New Bedfont 2
Philadelphia 2
Reggio Nell'emilia 2
Rockville 2
Rovigo 2
San Francisco 2
Taiyuan 2
Vienna 2
Amsterdam 1
Ankara 1
Ardabil 1
Augusta 1
Bangkok 1
Belluno 1
Bochum 1
Braunschweig 1
Brendola 1
Brest 1
Buffalo 1
Cairo 1
Calgary 1
Centro 1
Chennai 1
Dallas 1
Eindhoven 1
Falls Church 1
Fleming Island 1
Frankfurt am Main 1
Freiburg 1
Gothenburg 1
Islington 1
Landshut 1
Lendinara 1
Luxembourg 1
Totale 11.099
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Nome #
Regularized spectrum estimation using stable spline kernels 128
A Bayesian approach to sparse dynamic network identification 123
Distributed multi-agent Gaussian regression via finite-dimensional approximations 119
Multidimensional Newton-Raphson consensus for distributed convex optimization 117
A multi-task learning approach for the extraction of single-trial evoked potentials 116
On the discardability of data in Support Vector Classification problems 114
A new dynamic index of insulin sensitivity 107
Newton-Raphson consensus for distributed convex optimization 107
Kernel selection in linear system identification. Part I: a Gaussian process perspective 107
A new kernel-based approach for linear system identification 104
Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals 104
The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions 103
Newton-Raphson Consensus for Distributed Convex Optimization 101
Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov 100
Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method 99
Learning Using State Space Kernel Machines 99
Dynamic insulin sensitivity index: importance in diabetes. 97
Consistent identification of Wiener systems: A machine learning viewpoint 97
Boosting as a kernel-based method 97
Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approach 96
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 96
Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method 95
A new kernel-based approach for system identification 94
Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation 94
Maximum entropy properties of discrete-time first-order stable spline kernel 93
Prediction error identification of linear systems: A nonparametric Gaussian regression approach 93
System Identification: A Machine Learning Perspective 93
Wavelet estimation by Bayesian thresholding and model selection 92
Perspectives of orthonormal basis functions based kernels in Bayesian system identification? 92
Efficient algorithms for large scale linear system identification using stable spline estimators 91
Bayesian learning of probability density functions: a Markov chain Monte Carlo approach 91
An index of parameter reproducibility accounting for estimation uncertainty: Theory and case study on β-cell responsivity and insulin sensitivity 91
Predictor estimation via Gaussian regression 90
Fast computation of smoothing splines subject to equality constraints 89
Stable spline identification of linear systems under missing data 89
On the design of Multiple Kernels for nonparametric linear system identification 88
Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator 88
Finding Potential Support Vectors in Separable Classification Problems 88
Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework 87
Consensus based estimation of anonymous networks size using Bernoulli trials 86
Maximum Entropy Vector Kernels for MIMO system identification 86
The role of rank penalties in linear system identification 85
Identification of time-varying systems in Reproducing Kernel Hilbert Spaces 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
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint 84
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization 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
Subspace identification using predictor estimation via Gaussian regression 82
Distributed Kalman smoothing in static Bayesian networks 81
A variation of the Newton–Pepys problem and its connections to size-estimation problems 81
Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability 81
Deconvolution for Physiological Signal Analysis 80
Auto-tuning procedures for distributed nonparametric regression algorithms 80
Motion planning using adaptive random walks 79
A Novel Nonparametric Population Deconvolution for DSC-MRI Quantification: Assessment on Simulated Data 79
Distributed Cardinality Estimation in Anonymous Networks 79
Multi-agents adaptive estimation and coverage control using Gaussian regression 79
Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable 78
New Trends in Nonparametric Linear System Identification, 78
Distributed Function and Time Delay Estimation using Nonparametric Techniques 77
On the estimation of hyperparameters for Empirical Bayes estimators: Maximum Marginal Likelihood vs Minimum MSE 77
Kernel-based model order selection for linear system identification 77
Robust em kernel-based methods for linear system identification 77
Bayesian online multi-task learning using regularization networks 76
Asynchronous Newton-Raphson Consensus for Distributed Convex Optimization 76
Outlier robust kernel-based system identification using ℓ1-Laplace techniques 76
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 76
Multi-robots Gaussian estimation and coverage control: From client–server to peer-to-peer architectures 76
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets 76
A New Kernel-Based Approach for NonlinearSystem Identification 76
Regularized estimation of sums of exponentials in spaces generated by stable spline kernels 75
Rank-1 kernels for regularized system identification 75
Identification of stable models via nonparametric prediction error methods 75
Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso 75
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance 74
Machine learning meets Kalman Filtering 74
A Bayesian learning approach to linear system identification with missing data 72
A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients 72
Regularization strategies for nonparametric system identification 72
Multirobot localization with unknown variance parameters using iterated Kalman filtering 71
Distributed parametric and nonparametric regression with on-line performance bounds computation 71
Identification of hybrid systems using stable spline kernels 71
Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline 70
A distributed Kalman smoother 70
Proprioceptive Robot Collision Detection through Gaussian Process Regression 70
Estimating inputs of nonlinear dynamical systems using differential algebra techniques 69
A new kernel-based approach for identification of time-varying linear systems 69
Robot motion planning using adaptive random walks 67
Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization 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 65
Robust and Trend-following Kalman Smoothers using Student's t 65
A statistical and computational theory for robust and sparse Kalman smoothing 65
Approximating the Bayesian inverse for nonlinear dynamical systems 64
A new kernel-based approach to hybrid system identification 64
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms 63
Totale 8.485
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Categoria #
all - tutte 30.054
article - articoli 14.213
book - libri 197
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 718
Totale 45.182
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/20191.479 0 0 119 3 2 0 2 70 4 259 540 480
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
2022/20231.374 341 35 25 80 274 208 16 104 173 19 79 20
2023/2024218 24 95 99 0 0 0 0 0 0 0 0 0
Totale 12.432