**Electronic pre-prints of the following publications are available only for personal use and must abide to copyrights of the publisher. **

IEEE-copyright notice: *Copyright 199x IEEE. Personal use of this material is permitted.
However, permission to reprint/republish this material for advertising
or promotional purposes or for creating new collective works for resale
or redistribution to servers or lists, or to reuse any copyrighted
component of this work in other works must be obtained from the IEEE.*

Elsevier copyrights: pamphlet

IFAC copyrights notice

# Publications Lists [ all BibTeX ]

**Publications of author Gianluigi Pillonetto**

20XX

D. Varagnolo, G. Pillonetto, L. Schenato.

**Distributed multi-agent Gaussian regression via finite-dimensional approximations.***IEEE Transactions on Pattern Analysis and Machine Intelligence (to apper)*, 20XX [url] [pdf] [BibTeX]M. Todescato, A. Carron, R. Carli, G. Pillonetto, L. Schenato.

**Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering.***[submitted for publication, available@arXiv:1705.01485]*, 20XX [url] [BibTeX]2018

G. Pillonetto, A. Chiuso.

**Identification of Stable Linear Systems Via the Sequential Stabilizing Spline Algorithm.***Proceedings of SYSID 2018 (accepted)*, 2018 [BibTeX]2017

M. Todescato, A. Dalla Libera, R. Carli, G. Pillonetto, L. Schenato.

**Distributed Kalman Filtering for Time-Space Gaussian Processes (with proofs).***20th World Congress of International Federation of Automatic Control (IFAC)*, pp. 13234--13239, 2017 [pdf] [BibTeX]G. Prando, G. Pillonetto, A. Chiuso.

**Maximum Entropy Vector Kernels for MIMO system identification.***Automatica (accepted as regular paper)*, 2017 [url] [BibTeX]M. Todescato, A. Carron, R. Carli, G. Pillonetto, L. Schenato.

**Multi-Robots Gaussian Estimation and Coverage Control: from Server-based to Peer-to-Peer Architecture.***Automatica*, vol. 80, pp. 284--294, 2017 [url] [pdf] [BibTeX]D. Varagnolo, G. Pillonetto, L. Schenato.

**Statistical bounds for distributed Gaussian regression algorithms.***56th IEEE Conference on Decision and Control (CDC17)*, 2017 [BibTeX]2016

G. Prando, D. Romeres, G. Pillonetto, A. Chiuso.

**Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets.***Proc. of ECC 2016*, 2016 [BibTeX]T. Chen, G. Pillonetto, A. Chiuso, L. Ljung.

**DC kernel - a stable generalized first order spline kernel.***Proc. of CDC 2016 - accepted*, 2016 [BibTeX]M. Todescato, A. Carron, R. Carli, L. Schenato, G. Pillonetto.

**Machine Learning meets Kalman Filtering (with proofs).***55th IEEE Conference on Decision and Control (CDC16)*, pp. 4594--4599, 2016 [pdf] [BibTeX]T. Chen, T. Ardeshiri, F.P. Carli, A. Chiuso, L. Ljung, G. Pillonetto.

**Maximum entropy properties of discrete-time first-order stable spline kernel.***Automatica*, 2016 [BibTeX]D. Varagnolo, F. Zanella, A. Cenedese, G. Pillonetto, L. Schenato.

**Newton-Raphson Consensus for Distributed Convex Optimization.***IEEE Transactions on Automatic Control*, vol. 61(4), pp. 994--1009, 2016 [ abstract ] [url] [pdf] [BibTeX]D. Romeres, G. Prando, G. Pillonetto, A. Chiuso.

**On-line Bayesian System Identification.***Proc. of ECC 2016*, 2016 [BibTeX]G. Pillonetto, T. Chen, A. Chiuso, G. De nicolao, L. Ljung.

**Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint.***Automatica*, 2016 [url] [BibTeX]2015

D. Varagnolo, G. Pillonetto, L. Schenato.

**Auto-tuning procedures for distributed nonparametric regression algorithms.***European Control Conference ECC15*, 2015 [pdf] [BibTeX]D. Romeres, G. Pillonetto, A. Chiuso.

**Identification of stable models via nonparametric prediction error methods.***Proc. of the European Control Conference*, 2015 [ abstract ] [BibTeX]A. Carron, M. Todescato, R. Carli, L. Schenato, G. Pillonetto.

**Multi-agents adaptive estimation and coverage control using Gaussian regression.***European Control Conference (ECC'15)*, pp. 2490--2495, 2015 [pdf] [BibTeX]G. Prando, G. Pillonetto, A. Chiuso.

**On the role of rank penalties in linear system identification.***Prof. of SYSID 2015*, 2015 [BibTeX]T. Chen, G. Pillonetto, A. Chiuso, L. Ljung.

**Spectral analysis of the DC kernel for regularized system identification.***IEEE CDC 2015*, 2015 [BibTeX]G. Pillonetto, A. Chiuso.

**Tuning complexity in regularized kernel-based regression and linear system identification: the robustness of the marginal likelihood estimator.***Automatica (accepted)*, 2015 [BibTeX]2014

T. Chen, M. Andersen, A. Chiuso, G. Pillonetto, L. Ljung.

**Anomaly detection in homogenous populations: a sparse multiple kernel-based regularization method.***IEEE CDC 2014*, 2014 [BibTeX]A. Chiuso, G. Pillonetto.

**Bayesian and nonparametric methods for system identification and model selection.***Proc. of ECC 2014*, 2014 [BibTeX]G. Prando, A. Chiuso, G. Pillonetto.

**Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties.***Proc. IEEE CDC*, 2014 [BibTeX]A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto.

**Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso.***Journal of Machine Learning Research*, (15), pp. 1-36, 2014 [BibTeX]D. Varagnolo, G. Pillonetto, L. Schenato.

**Distributed cardinality estimation in anonymous networks.***IEEE Transactions on Automatic Control*, vol. 59(3), pp. 645-659, 2014 [ abstract ] [pdf] [BibTeX]A. Chiuso, T. Chen, L. Ljung, G. Pillonetto.

**On the design of Multiple Kernels for nonparametric linear system identification.***IEEE CDC 2014*, 2014 [BibTeX]G. Bottegal, A. Aravkin, H. Hjalmarsson, G. Pillonetto.

**Outlier robust system identification: a Bayesian kernel-based approach.***IFAC World Congress*, 2014 [pdf] [BibTeX]T. Chen, M. Andersen, L. Ljung, A. Chiuso, G. Pillonetto.

**System identification via sparse multiple kernel-based regularization using sequential convex optimization techniques.***IEEE Transactions on Automatic Control*, 2014 [BibTeX]G. Pillonetto, A. Chiuso.

**Tuning complexity in kernel-based linear system identification: the robustness of the marginal likelihood estimator.***Proc. of ECC 2014*, 2014 [BibTeX]2013

D. Varagnolo, L. Schenato, G. Pillonetto.

**A variation of the Newton-Pepys problem and its connections to size-estimation problems.***Statistics & Probability Letters*, (83), pp. 1472-1478, 2013 [ abstract ] [pdf] [BibTeX]G. Pillonetto.

**Consistent identification of Wiener systems: a machine learning viewpoint.***Automatica (provisionally accepted)*, 2013 [BibTeX]D. Varagnolo, S. Del Favero, F. Dinuzzo, L. Schenato, G. Pillonetto.

**Finding Potential Support Vectors in linearly separable classification problems.***IEEE Transactions on Neural Networks and Learning Systems*, vol. 24(11), pp. 1799-1813, 2013 [ abstract ] [pdf] [BibTeX]T. Chen, A. Chiuso, G. Pillonetto, L. Ljung.

**Rank-1 kernels for regularized system identification.***Proc. of IEEE Conf. on Dec. and Control (CDC2013)*, 2013 [BibTeX]A. Chiuso, T. Chen, L. Ljung, G. Pillonetto.

**Regularization strategies for nonparametric system identification.***Proc. of IEEE Conf. on Dec. and Control (CDC2013)*, 2013 [BibTeX]G. Bottegal, G. Pillonetto.

**Regularized spectrum estimation using stable spline kernels.***Automatica*, vol. 11(49), pp. 3199-3209, 2013 [pdf] [BibTeX]2012

A. Chiuso, G. Pillonetto.

**A Bayesian approach to sparse dynamic network identification.***Automatica*, vol. 48(8), pp. 1553–-1565, 2012 [pdf] [BibTeX]C. D'Avanzo, A. Goljahani, G. Pillonetto, G. De nicolao, G. Sparacino.

**A multi-task learning approach for the extraction of single-trial evoked potentials.***Computer methods and programs in biomedicine*, 2012 [BibTeX]F. Zanella, D. Varagnolo, A. Cenedese, G. Pillonetto, L. Schenato.

**Asynchronous Newton-Raphson Consensus for Distributed Convex Optimization.***3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys'12)*, 2012 [ abstract ] [url] [pdf] [BibTeX]S. Del Favero, D. Varagnolo, G. Pillonetto.

**Bayesian learning of probability density functions: a Markov chain Monte Carlo approach.***IEEE Conference on Decision and Control (CDC 2012)*, 2012 [ abstract ] [pdf] [BibTeX]D. Varagnolo, G. Pillonetto, L. Schenato.

**Consensus based estimation of anonymous networks size using Bernoulli trials.***2012 American Control Conference*, 2012 [ abstract ] [pdf] [BibTeX]D. Varagnolo, G. Pillonetto, L. Schenato.

**Distributed parametric and nonparametric regression with on-line performance bounds computation.***Automatica*, vol. 48(10), pp. 2468 -- 2481, 2012 [ abstract ] [pdf] [BibTeX]F.P. Carli, A. Chiuso, G. Pillonetto.

**Efficient algorithms for large scale linear system identification using stable spline estimators.***Proc. of SYSID 2012*, 2012 [BibTeX]F. Zanella, D. Varagnolo, A. Cenedese, G. Pillonetto, L. Schenato.

**Multidimensional Newton-Raphson consensus for distributed convex optimization.***2012 American Control Conference*, 2012 [ abstract ] [url] [pdf] [BibTeX]F.P. Carli, T. Chen, A. Chiuso, L. Ljung, G. Pillonetto.

**On the estimation of hyperparameters for Bayesian system identification with exponential kernels.***51st IEEE Conference on Decision and Control (CDC 2012)*, 2012 [BibTeX]A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto.

**On the estimation of hyperparameters for Empirical Bayes estimators: Maximum Marginal Likelihood vs Minimum MSE.***Proc. of SYSID 2012*, 2012 [BibTeX]A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto.

**On the MSE Properties of Empirical Bayes Methods for Sparse Estimation.***Proc. of SYSID 2012*, 2012 [BibTeX]G. Pillonetto, G. Erinc, S. Carpin.

**Online estimation of covariance parameters using extended Kalman filtering and application to robot localization.***Advanced Robotics*, vol. 18(26), pp. 2169--2188, 2012 [BibTeX]G. Bottegal, G. Pillonetto.

**Regularized spectrum estimation in spaces induced by stable spline kernels.***Proc. of IEEE ACC*, 2012 [pdf] [BibTeX]G. Quer, R. Masiero, G. Pillonetto, M. Rossi, M. Zorzi.

**Sensing, Compression and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework.***IEEE Transactions on Wireless Communications*, vol. 11(10), pp. 3447--3461, 2012 [BibTeX]T. Chen, L. Ljung, M. Andersen, A. Chiuso, F.P. Carli, G. Pillonetto.

**Sparse multiple kernels for impulse response estimation with majorization minimization algorithms.***51st IEEE Conference on Decision and Control (CDC 2012)*, 2012 [BibTeX]F. Zanella, D. Varagnolo, A. Cenedese, G. Pillonetto, L. Schenato.

**The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions.***IEEE Conference on Decision and Control (CDC 2012)*, 2012 [ abstract ] [url] [pdf] [BibTeX]2011

G. Pillonetto, M.H. Quang, A. Chiuso.

**A new kernel-based approach for nonlinear system identification.***IEEE Transactions on Automatic Control [accepted]*, 2011 [BibTeX]A. Aravkin, B. Bell, J. Burke, G. Pillonetto.

**An l1-Laplace robust Kalman smoother.***IEEE Trans. on Automatic Control*, vol. 56(12), pp. 2898--2911, 2011 [BibTeX]S. Peruzzo, F. Zanderigo, A. Bertoldo, G. Pillonetto, M. Cosottini, C. Cobelli.

**Assessment on clinical data of nonlinear stochastic deconvolution versus Singular Value Decomposition for quantitative Dynamic Susceptibility Contrast-Magnetic Resonance Imaging.***Magnetic Resonance Imaging*, vol. 7(29), 2011 [BibTeX]F. Dinuzzo, G. Pillonetto, G. De nicolao.

**Client-server multi-task learning from distributed datasets.***IEEE Transactions on Neural Networks*, vol. 22(2), pp. 290--303, 2011 [BibTeX]A. Aravkin, J. Burke, A. Chiuso, G. Pillonetto.

**Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso.***IEEE CDC 2011 (accepted)*, 2011 [pdf] [BibTeX]F. Zanella, D. Varagnolo, A. Cenedese, G. Pillonetto, L. Schenato.

**Newton-Raphson consensus for distributed convex optimization.***IEEE Conference on Decision and Control (CDC 2011)*, 2011 [ abstract ] [pdf] [BibTeX]S. Del Favero, D. Varagnolo, F. Dinuzzo, L. Schenato, G. Pillonetto.

**On the discardability of data in Support Vector Classification problems.***IEEE Conference on Decision and Control (CDC 2011)*, 2011 [ abstract ] [pdf] [BibTeX]G. Pillonetto, A. Chiuso, G. De nicolao.

**Prediction error identification of linear systems: a nonparametric Gaussian regression approach.***Automatica*, (47), pp. 291-305, 2011 [BibTeX]2010

G. Pillonetto, G. De nicolao.

**A new kernel-based approach for linear system identification.***Automatica*, vol. 46(1), pp. 81-93, 2010 [BibTeX]G. Pillonetto, F. Dinuzzo, G. De nicolao.

**Bayesian on-line multi-task learning of Gaussian processes.***IEEE Transactions on Pattern Analysis and Machine Intelligence*, vol. 32(2), pp. 193-205, 2010 [pdf] [BibTeX]D. Varagnolo, G. Pillonetto, L. Schenato.

**Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization.***2010 American Control Conference*, 2010 [pdf] [BibTeX]D. Varagnolo, G. Pillonetto, L. Schenato.

**Distributed statistical estimation of the number of nodes in Sensor Networks.***Conference on Decision and Control CDC10*, 2010 [ abstract ] [pdf] [BibTeX]G. Pillonetto, A. Caumo, C. Cobelli.

**Dynamic index of insulin sensitivity: importance in diabetes.***American Journal of Physiology: Endocrinology and Metabolism*, vol. 298(3), pp. E440-E448, 2010 [BibTeX]A. Chiuso, G. Pillonetto.

**Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors.***Proc. of NIPS 2010, accepted*, 2010 [BibTeX]A. Chiuso, G. Pillonetto.

**Nonparametric sparse estimators for identification of large scale linear systems.***Proc. of 2010 IEEE CDC*, 2010 [BibTeX]G. Pillonetto, A. Chiuso, G. De nicolao.

**Regularized estimation of sums of exponentials in spaces generated by stable spline kernels.***ACC 2010*, 2010 [BibTeX]2009

G. Pillonetto, A. Chiuso.

**A Bayesian learning approach to linear system identification with missing data.***Proceedings of the 48th IEEE International Conference on Decision and Control 2009 Shangai China*, 2009 [BibTeX]B. Bell, G. Pillonetto.

**A distributed Kalman smoother.***Proceedings of the 1st IFAC Workshop on Estimation and Control of Networked Systems - NecSys09 2009 Venice Italy*, 2009 [pdf] [BibTeX]B. Bell, J. Burke, G. Pillonetto.

**An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization.***Automatica*, vol. 45, pp. 25--33, 2009 [pdf] [BibTeX]D. Varagnolo, G. Pillonetto, L. Schenato.

**Distributed Function and Time Delay Estimation using Nonparametric Techniques.***IEEE Conference on Decision and Control (CDC 09)*, 2009 [ abstract ] [pdf] [BibTeX]G. Pillonetto, G. De nicolao, M. Chierici, C. Cobelli.

**Fast algorithms for nonparametric population modeling of large data sets.***Automatica*, vol. 45, pp. 173--179, 2009 [BibTeX]G. Pillonetto, A. Chiuso.

**Fast computation of smoothing splines subject to equality constraints.***Automatica*, vol. 45, pp. 2842--2849, 2009 [pdf] [BibTeX]G. Pillonetto, A. Chiuso.

**Gaussian Processes for Wiener-Hammerstein System Identification.***Proceedings of the 15th IFAC Symposium on System Identification SYSID 2009 Saint-Malo France July 6-8 2009*, 2009 [BibTeX]F. Zanderigo, A. Bertoldo, G. Pillonetto, C. Cobelli.

**Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD Block-Circulant SVD and Tikhonov.***IEEE Transactions on Biomedical Engineering*, vol. 56, pp. 1287--1297, 2009 [BibTeX]H. Quang, G. Pillonetto, A. Chiuso.

**Nonlinear System Identification Via Gaussian Regression and Mixtures of Kernels.***Proceedings of the 15th IFAC Symposium on System Identification SYSID 2009 Saint-Malo France July 6-8 2009*, 2009 [BibTeX]2008

G. De nicolao, G. Pillonetto.

**A new kernel-based approach for system identification.***Proceedings of The American Control Conference*, 2008 [pdf] [BibTeX]G. Pillonetto, F. Dinuzzo, G. De nicolao.

**Bayesian online multi-task learning using regularization networks.***Proceedings of The American Control Conference*, 2008 [BibTeX]G. Pillonetto.

**Identification of time-varying systems in Reproducing Kernel Hilbert Spaces.***IEEE Transactions on Automatic Control*, vol. 53, pp. 2209, 2008 [BibTeX]E. Gorkem, G. Pillonetto, S. Carpin.

**Online estimation of variance parameters: experimental results with applications to localization.***Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems*, 2008 [BibTeX]G. Pillonetto, B. Bell.

**Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains.***Automatica*, vol. 44, pp. 1676--1685, 2008 [BibTeX]G. Pillonetto, C. Cobelli.

**Predictive power of indices derived from models of biological dynamic systems.***Proceedings of The American Control Conference*, 2008 [BibTeX]G. Pillonetto, A. Chiuso, G. De nicolao.

**Predictor estimation via Gaussian regression.***Proceedings of The 47th Ieee International Conference on Decision and Control 2008*, 2008 [BibTeX]G. Pillonetto.

**Solutions of nonlinear control and estimation problems in Reproducing Kernel Hilbert Spaces: existence and numerical determination.***Automatica*, vol. 44, pp. 2135--2141, 2008 [BibTeX]A. Chiuso, G. Pillonetto, G. De nicolao.

**Subspace identification using predictor estimation via Gaussian regression.***Proceedings of The 47th Ieee International Conference on Decision and Control 2008*, 2008 [BibTeX]E. Cinquemani, G. Pillonetto.

**Wavelet estimation by Bayesian thresholding and model selection.***Automatica*, vol. 44, pp. 2288--2297, 2008 [BibTeX]2007

G. Pillonetto, B. Bell.

**Bayes and Empirical Bayes Semi-Blind Deconvolution.***Proceedings of AIP 2007 Conference on Applied Inverse Problems 2007: Theoretical and Computational Aspects*, 2007 [BibTeX]G. Pillonetto, B. Bell.

**Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance.***Automatica*, vol. 43, pp. 1698--1712, 2007 [BibTeX]G. De nicolao, G. Pillonetto, M. Chierici, C. Cobelli.

**Efficient Nonparametric Population Modeling for Large Data Sets.***Proceedings of the American Control Conference*, pp. 2921--2926, 2007 [pdf] [BibTeX]G. Pillonetto, C. Cobelli.

**Identifiability of the stochastic semi-blind deconvolution problem using a class of time-invariant linear systems.***Automatica*, vol. 43, pp. 647--654, 2007 [BibTeX]B. Bell, G. Pillonetto.

**MCMC Estimation of Nonlinear Dynamical Systems..***Proceedings of AIP 2007 Conference on Applied Inverse Problems 2007: Theoretical and Computational Aspects*, 2007 [BibTeX]G. Pillonetto, S. Carpin.

**Multirobot localization with unknown variance parameters using iterated Kalman filtering.***Proceedings of the 2007 IEEE International Conference on Intelligent Robots and Systems*, 2007 [BibTeX]2006

G. Pillonetto, A. Caumo, G. Sparacino.

**A new dynamic index of insulin sensitivity.***IEEE Transactions on Biomedical Engineering*, vol. 53, pp. 369--379, 2006 [BibTeX]M. Chierici, G. Pillonetto, G. Toffolo, C. Cobelli.

**Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable.**2006 [BibTeX]G. Pillonetto, M. Saccomani.

**Input estimation in nonlinear dynamic systems using differential algebra techniques.***Automatica*, vol. 42, pp. 1117--1129, 2006 [BibTeX]G. Pillonetto, A. Caumo, C. Cobelli.

**Insulin sensitivity index also accounting for insulin action dynamics: importance in diabetes.***Proceedings of the 6-th IFAC Symposium on modeling and control in biomedical systems*, pp. 212--217, 2006 [BibTeX]2005

G. Pillonetto, M. Saccomani.

**Estimating inputs of nonlinear dynamical systems using differential algebra techniques.**2005 [BibTeX]S. Carpin, G. Pillonetto.

**Merging the adaptive random walks planner with the randomized potential field planner.***Proceedings of the 2005 IEEE International workshop on Robot Motion and Control*, pp. 151--156, 2005 [BibTeX]S. Carpin, G. Pillonetto.

**Motion planning using adaptive random walks.***IEEE Transactions on Robotics*, vol. 21, pp. 129--136, 2005 [BibTeX]2004

A. Bertoldo, S. Corazza, F. Zanderigo, G. Pillonetto, C. Cobelli.

**Assessment of regional cerebral blood flow by bolus-tracking MRI images: characterization of the tissue residue function using nonlinear stochastic regularization method..**2004 [BibTeX]S. Carpin, G. Pillonetto.

**Centralized multi-robot motion planning: a random walks based approach..**pp. 610--617, 2004 [BibTeX]G. Pillonetto, B. Bell.

**Deconvolution of nonstationary physical signals: a smooth variance model for insulin secretion rate.***Inverse Problems*, vol. 20, pp. 367--383, 2004 [BibTeX]B. Bell, G. Pillonetto.

**Estimating parameters and stochastic functions of one variable using nonlinear measurements models.***Inverse Problems*, vol. 20, pp. 627--646, 2004 [BibTeX]F. Zanderigo, A. Bertoldo, G. Pillonetto, M. Cosottini, C. Cobelli.

**Nonlinear stochastic regularization tocharacterize tissue residue function from bolus-tracking MRI images.**pp. 77--78, 2004 [BibTeX]2003

G. Pillonetto.

**Bayesian deconvolution of functions in Reproducing Kernel Hilbert Spaces using MCMC techniques.**2003 [BibTeX]S. Carpin, G. Pillonetto.

**Learning sampling distributions for randomized motion planning: role of history size.**2003 [BibTeX]G. Pillonetto, C. Cobelli, R. Frezza.

**Numerical approach to skin artifacts correction in stereophotogrammetry.**2003 [BibTeX]G. Pillonetto, G. Sparacino, C. Cobelli.

**Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation.***Mathematical Biosciences*, vol. 184, pp. 53--67, 2003 [BibTeX]S. Carpin, G. Pillonetto.

**Robot motion planning using adaptive random walks.**2003 [BibTeX]2002

G. Pillonetto, G. Sparacino, C. Cobelli.

**Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approach.***Annals of Biomedical Engineering*, vol. 8, pp. 1077--1087, 2002 [BibTeX]G. Pillonetto, P. Magni, R. Bellazzi, C. Cobelli.

**Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals..***American Journal of Physiology*, vol. 282, pp. 564--573, 2002 [BibTeX]G. Sparacino, G. Pillonetto, M. Capello, G. De nicolao, C. Cobelli.

**Winstodec: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems.***Computer Methods and Programs in Biomedicine*, vol. 67, pp. 67--77, 2002 [BibTeX]2001

G. Pillonetto, G. Sparacino, C. Cobelli.

**Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method.***IEEE Transactions on Biomedical Engineering*, vol. 48, pp. 1352--1354, 2001 [BibTeX]G. Pillonetto.

**Stochastic deconvolution of nonnegative physical signals..**2001 [BibTeX]2000

G. Pillonetto, G. Sparacino, C. Cobelli.

**Reconstruction of non-stationary biological signals via stochastic deconvolution.**2000 [BibTeX]G. Sparacino, G. Pillonetto, G. De nicolao, C. Cobelli.

**STODEC (STOchastic DEConvolution): a program for input estimation in physiological and pharmacokinetic systems.**pp. 303--308, 2000 [BibTeX]