**Journals**[ all BibTeX ]

20XX

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

**Distributed multi-agent Gaussian regression via Karhunen-Loève expansions.***[submitted for publication]*, 20XX [url] [BibTeX]M. Todescato, A. Carron, R. Carli, G. Pillonetto, L. Schenato.

**Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering.***IEEE Transactions on Pattern Analysis and Machine Intelligence [submitted, available@arXiv:1705.01485]*, 20XX [url] [BibTeX]2017

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. 80pp. 284--294, 2017 [url] [pdf] [BibTeX]2016

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]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

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

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]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]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]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]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]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. 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]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]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]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]2009

B. Bell, J. Burke, G. Pillonetto.

**An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization.***Automatica*, vol. 45pp. 25--33, 2009 [pdf] [BibTeX]G. Pillonetto, G. De nicolao, M. Chierici, C. Cobelli.

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

**Fast computation of smoothing splines subject to equality constraints.***Automatica*, vol. 45pp. 2842--2849, 2009 [pdf] [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. 56pp. 1287--1297, 2009 [BibTeX]2008

G. Pillonetto.

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

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

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

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

G. Pillonetto, B. Bell.

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

**Identifiability of the stochastic semi-blind deconvolution problem using a class of time-invariant linear systems.***Automatica*, vol. 43pp. 647--654, 2007 [BibTeX]2006

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

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

**Input estimation in nonlinear dynamic systems using differential algebra techniques.***Automatica*, vol. 42pp. 1117--1129, 2006 [BibTeX]2005

S. Carpin, G. Pillonetto.

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

G. Pillonetto, B. Bell.

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

**Estimating parameters and stochastic functions of one variable using nonlinear measurements models.***Inverse Problems*, vol. 20pp. 627--646, 2004 [BibTeX]2003

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

**Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation.***Mathematical Biosciences*, vol. 184pp. 53--67, 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. 8pp. 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. 282pp. 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. 67pp. 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. 48pp. 1352--1354, 2001 [BibTeX]**Conference**[ all 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)*, 2017 [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]D. Romeres, G. Prando, G. Pillonetto, A. Chiuso.

**On-line Bayesian System Identification.***Proc. of ECC 2016*, 2016 [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]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. 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]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

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]2012

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]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. Bottegal, G. Pillonetto.

**Regularized spectrum estimation in spaces induced by stable spline kernels.***Proc. of IEEE ACC*, 2012 [pdf] [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

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]2010

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]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]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, 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]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]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, 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]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]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. 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]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

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, 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]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]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]S. Carpin, G. Pillonetto.

**Robot motion planning using adaptive random walks.**2003 [BibTeX]2001

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]