International Journals
  1. Pillonetto, G., G. Sparacino, and C. Cobelli. Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method. IEEE Transactions on Biomedical Engineering 48:1352-1354, 2001.
  2. Sparacino, G., 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 67: 67-77, 2002.
  3. Pillonetto, G., G. Sparacino, 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: Endocrinology and Metabolism, 282(3): E564-573, 2002.
  4. Pillonetto, G., G. Sparacino, C. Cobelli. Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approach, Annals of Biomedical Engineering, 8: 1077-1087, 2002.
  5. Pillonetto, G., G. Sparacino, C. Cobelli. Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation, Mathematical Biosciences, 184(1):53-67, 2003.
  6. Pillonetto, G., B.M. Bell. Deconvolution of nonstationary physical signals: a smooth variance model for insulin secretion rate, Inverse Problems, 20(2): 367-383, 2004.
  7. Bell, B.M., G. Pillonetto Estimating parameters and stochastic functions of one variable using nonlinear measurements models, Inverse Problems, 20(3): 627-646, 2004.
  8. Carpin, S., G. Pillonetto Motion planning using adaptive random walks, IEEE Transactions on Robotics and Automation, 21(1). Pages 129-136, 2005
  9. Pillonetto, G., A. Caumo, G. Sparacino, C. Cobelli. A new dynamic index of insulin sensitivity, IEEE Transactions on Biomedical Engineering, 53(3): 369-79, 2006.
  10. Pillonetto, G., M.P. Saccomani. Input estimation in nonlinear dynamic systems using differential algebra techniques, Automatica, 42(12): 1117-1129, 2006
  11. Pillonetto, G., C. Cobelli. Identifiability of the stochastic semi-blind deconvolution problem using a class of time-invariant linear systems, Automatica, 43(4): 647-654, 2007
  12. Pillonetto, G., B. Bell. Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance, Automatica 43(10): 1698-1712, 2007
  13. Pillonetto, G., B. Bell. Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains, Automatica 44(7): 1676-1785, 2008
  14. Pillonetto, G. Solutions of nonlinear control and estimation problems in Reproducing Kernel Hilbert Spaces: existence and numerical determination, Automatica 44(8): 2135-2141, 2008
  15. Cinquemani, E., G. Pillonetto. Wavelet estimation by Bayesian thresholding and model selection, Automatica 44(9): 2288-2297, 2008
  16. Pillonetto, G. Identification of time-varying systems in Reproducing Kernel Hilbert Spaces, IEEE Transactions on Automatic Control 53(9): 2202 - 2209, 2008
  17. Pillonetto, G., G. De Nicolao, M. Chierici, C. Cobelli. Fast algorithms for nonparametric population modeling of large data sets, Automatica 45: 173--179, 2009
  18. Bell, B., J. Burke, G. Pillonetto. An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization, Automatica 45: 25-33, 2009
  19. Zanderigo, F., 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, 56(5): 1287-1297, 2009.
  20. Pillonetto, G., A. Chiuso. Fast computation of smoothing splines subject to equality constraints, Automatica 45: 2842-2849, 2009
  21. Pillonetto, G., F. Dinuzzo, G. De Nicolao. Bayesian on-line multi-task learning of Gaussian processes, IEEE Trans. on Pattern Analysis and Machine Intelligencevol, 32(2), pp. 193-205, 2010
  22. Pillonetto, G., A. Caumo, C. Cobelli. Dynamic index of insulin sensitivity: importance in diabetes, American Journal of Physiology: Endocrinology and Metabolism 298(3), E440-E448, 2010
  23. Pillonetto, G., G. De Nicolao. A new kernel-based approach for linear system identification, Automatica vol. 46(1), pp. 81-93, 2010
  24. Pillonetto, G., A. Chiuso and G. De Nicolao. Prediction error identification of linear systems: a nonparametric Gaussian regression approach, Automatica vol. 47(2), pp. 291-305, 2011
  25. Dinuzzo, F, G. Pillonetto and G. De Nicolao. Client-server multi-task learning from distributed datasets, IEEE Transactions on Neural Networks, vol. 22(2):290-303, 2011.
  26. Peruzzo, D., F. Zanderigo, A. Bertoldo, G. Pillonetto, M. Cosottini and 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. 29(7), pp. 927-936, 2011
  27. Pillonetto, G., M.H. Quang and A. Chiuso. A new kernel-based approach for nonlinear system identification, IEEE Trans. on Automatic Control vol. 56(12), pp. 2825-2840, 2011
  28. Aravkin, A., B.M. Bell, J.V. Burke and G. Pillonetto. An l1-Laplace robust Kalman smoother, IEEE Trans. on Automatic Control vol. 56(12), pp. 2898-2911, 2011
  29. Chiuso, A. and G. Pillonetto. A Bayesian approach to sparse dynamic network identification, Automatica (in press)
  30. Pillonetto, G., G. Erinc and S. Carpin. Online estimation of covariance parameters using extended Kalman filtering and application to robot localization. Advanced Robotics (in press)
  31. Quer, G., R. Masiero, G. Pillonetto, M. Rossi and M. Zorzi. Sensing, Compression and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework, IEEE Transactions on Wireless Communications (in press)
  32. Varagnolo, D., G. Pillonetto and L. Schenato. Distributed parametric and nonparametric regression with on-line performance bounds computation. Automatica (provisionally accepted)
  33. Pillonetto, G., B. Bell and S. Del Favero. Distributed Kalman smoothing in static Bayesian networks. Automatica (provisionally accepted)
Papers in Proceedings of International Conferences
  1. Sparacino, G., G. Pillonetto, G. De Nicolao, C. Cobelli. STODEC (STOchastic DEConvolution): a program for input estimation in physiological and pharmacokinetic systems. In: "E.Carson and E.Salzsieder (Editors), Modeling and Control in Biomedical Systems 2000, IFAC Symposium Karlsburg, Germany, 30 March - 1 April 2000", pp.303-308, Pergamon Press, Oxford, Great Britain, 2000.
  2. Pillonetto, G., G. Sparacino, C. Cobelli. Reconstruction of non-stationary biological signals via stochastic deconvolution. In: "CD-ROM Proceedings of the World Congress on Medical Physics and Biomedical Engineering, Chicago, July 23-28, 2000", 2000.
  3. Pillonetto G. Stochastic deconvolution of nonnegative physical signals. In "Proceedings of the Conference on Applied Inverse Problems: Theoretical and Computational Aspects. Montecatini, June 18-22, 2001".
  4. Pillonetto, G. Bayesian deconvolution of functions in Reproducing Kernel Hilbert Spaces using MCMC techniques. In "Book of abstracts of the 21st IFIP TC 7 Conference on System Modeling and Optimization, Sophia Antilopis, France, July 21-25, 2003".
  5. Carpin, S., G. Pillonetto. Robot motion planning using adaptive random walks. In "Proceedings of IEEE Int. Conf. on Robotics and Automation, Taipei, Taiwan, May 12-17, 2003".
  6. Corazza S., G. Pillonetto, C. Cobelli, R. Frezza. Numerical approach to skin artifacts correction in stereophotogrammetry. In "Proceedings of the conference of the American Society of Biomechanics, Toledo, OH, USA, September 25-29, 2003"
  7. Carpin S., G. Pillonetto. Learning sampling distributions for randomized motion planning: role of history size. In "Proceedings of the 2003 conference on Artificial Intelligence and Applications, Balmadena, Spain, September 8-10, 2003"
  8. Carpin, S., G. Pillonetto. Centralized multi-robot motion planning: a random walks based approach. Intelligent Autonomous Systems 8 IOS Press. 2004, pag. 610-617
  9. Zanderigo, F., A. Bertoldo, G. Pillonetto, M. Cosottini, C. Cobelli Nonlinear stochastic regularization to characterize tissue residue function from bolus-tracking MRI images. In Proceedings of the Workshop on MRI: a technical perspective, 2004, Venice, Italy, pag. 77-78
  10. Bertoldo, A., S. Corazza, F. Zanderigo, G. Pillonetto, M. Cosottini, C. Cobelli Assessment of regional cerebral blood flow by bolus-tracking MRI images: characterization of the tissue residue function using nonlinear stochastic regularization method. In CD-ROM proceedings of the conference Medicon 2004, 2004, Ischia, Italy
  11. Carpin, S., G. Pillonetto. Merging the adaptive random walks planner with the randomized potential field planner. In proceedings of the 2005 IEEE International workshop on Robot Motion and Control, pag. 151-156
  12. Pillonetto, G., M.P. Saccomani. Estimating inputs of nonlinear dynamical systems using differential algebra techniques. In proceedings of the 16-th IFAC World Congress, 2005 Praha.
  13. Pillonetto, G., A. Caumo, C. Cobelli. Insulin sensitivity index also accounting for insulin action dynamics: importance in diabetes. In proceedings of the 6-th IFAC Symposium on modeling and control in biomedical systems, 2006, Reims, pag. 217-212.
  14. Chierici, M., G. Pillonetto, G. Toffolo, C. Cobelli. Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable. In proceedings of 28th Annual International Conference of the IEEE, EMBS '06, 2006, New York, pag. 5045-5048.
  15. Pillonetto, G., B. Bell. Bayes and Empirical Bayes Semi-Blind Deconvolution. In proceedings of AIP 2007, Conference on Applied Inverse Problems 2007: Theoretical and Computational Aspects June 25-29, 2007, Vancouver, Canada.
  16. Bell, B., G. Pillonetto. MCMC Estimation of Nonlinear Dynamical Systems. In proceedings of AIP 2007, Conference on Applied Inverse Problems 2007: Theoretical and Computational Aspects June 25-29, 2007, Vancouver, Canada.
  17. De Nicolao, G., G. Pillonetto, M. Chierici, C. Cobelli Efficient Nonparametric Population Modeling for Large Data Sets, Proceedings of the American Control Conference, July 9-13, 2007, New York, pag. 2921 - 2926
  18. Pillonetto, G., S. Carpin. Multirobot localization with unknown variance parameters using iterated Kalman filtering. In Proceedings of the 2007 IEEE International Conference on Intelligent Robots and Systems, Oct 29 - 2 Nov, 2007, San Diego, CA, USA
  19. Pillonetto, G., C. Cobelli. Predictive power of indices derived from models of biological dynamic systems, Proceedings of the American Control Conference, June 11-13, 2008, Seattle, USA
  20. Pillonetto, G., F. Dinuzzo, G. De Nicolao. Bayesian online multi-task learning using regularization networks, Proceedings of the American Control Conference, June 11-13, 2008, Seattle, USA
  21. De Nicolao, G., G. Pillonetto. A new kernel-based approach for system identification, Proceedings of the American Control Conference, June 11-13, 2008, Seattle, USA
  22. Pillonetto, G., A. Chiuso, G. De Nicolao. Identification and prediction of linear dynamical systems: a learning theory approach, Proceedings of the International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, June 25-27, 2008, Genova, Italy
  23. Dinuzzo, F., G. Pillonetto, G. De Nicolao. A recursive Bayesian approach to multitask learning, Proceedings of the International Conference on Mathematical Problems in Engineering, Aerospace and Sciences, June 25-27, 2008, Genova, Italy
  24. Gorkem, E., 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, Settembre 2008 Nice, France
  25. Pillonetto, G., A. Chiuso and G. De Nicolao. Predictor estimation via Gaussian regression, Proceedings of the 47th IEEE International Conference on Decision and Control, 2008 Cancun, Messico
  26. Chiuso, A., G. Pillonetto and G. De Nicolao. Subspace identification using predictor estimation via Gaussian regression, Proceedings of the 47th IEEE International Conference on Decision and Control, 2008 Cancun, Messico
  27. Ha Quang, M., G. Pillonetto and 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
  28. Pillonetto, G. and 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
  29. Bell, B. and G. Pillonetto. A distributed Kalman smoother, Proceedings of the 1st IFAC Workshop on Estimation and Control of Networked Systems - NecSys'09, 2009 Venice, Italy
  30. Varagnolo, D., G. Pillonetto and L. Schenato. Distributed Function and Time Delay Estimation using Nonparametric Techniques, Proceedings of the 48th IEEE International Conference on Decision and Control, 2009 Shangai, China
  31. Pillonetto, G. and 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
  32. Varagnolo D., and G. Pillonetto and L. Schenato. Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization, Proceedings of the 2010 American Control Conference
  33. Pillonetto, G. and A. Chiuso and G. De Nicolao. Regularized estimation of sums of exponentials in spaces generated by stable spline kernels, Proceedings of the 2010 American Control Conference
  34. Del Favero S., G. Pillonetto and B. Bell. Distributed Inequality Constrained Kalman Smoother, Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2010)
  35. Pillonetto G., A. Aravkin and S. Carpin. The unconstrained and inequality constrained moving horizon approach to robot localization, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Settembre 2010 (to appear)
  36. Varagnolo, D., G. Pillonetto and L. Schenato. Distributed statistical estimation of the number of nodes in Sensor Networks, Proceedings of the 49th IEEE Conference on Decision and Control, 2010, Baltimora
  37. Chiuso, A. and G. Pillonetto. Nonparametric sparse estimators for identification of large scale linear systems, Proceedings of the 49th IEEE Conference on Decision and Control, 2010, Baltimora
  38. Chiuso, A. and G. Pillonetto. Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors, NIPS 2010, Vancouver
  39. Dinuzzo, F., C. S. Ong, P. Gehler, and G. Pillonetto. Learning output kernels with block coordinate descent. In International Conference on Machine Learning, Bellevue WA (USA), 2011.
  40. Aravkin, A., B. Bell, J. Burke and G. Pillonetto, Learning Using State Space Kernel Machines, IFAC WC 2011, Milano.
  41. Del Favero, S., G. Pillonetto, C. Cobelli and G. De Nicolao, A novel nonparametric approach for the identification of the glucose-insulin system in Type 1 diabetic patients, IFAC WC 2011, Milano.
  42. Aravkin, A., J. Burke, A. Chiuso, and G. Pillonetto. Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso. IEEE CDC 2011, 2011
  43. Zanella, F., D. Varagnolo, A. Cenedese, G. Pillonetto, and L. Schenato. Newton-Raphson consensus for distributed convex optimization. IEEE Conference on Decision and Control (CDC 2011), 2011
  44. Del Favero, S., D. Varagnolo, F. Dinuzzo, L. Schenato, and G. Pillonetto. On the discardability of data in Support Vector Classification problems. IEEE Conference on Decision and Control (CDC 2011), 2011
  45. Pillonetto, G. and G. De Nicolao. Kernel selection in linear system identification. Part I: a Gaussian process perspective. IEEE Conference on Decision and Control (CDC 2011), 2011
  46. Bottegal, G. and G. Pillonetto. Regularized spectrum estimation in spaces induced by stable spline kernels, Proceedings of the 2012 American Control Conference, Montreal, Canada, 2012
  47. Varagnolo, D., G. Pillonetto and L. Schenato. Distributed estimation of the size of an anonymous network using Bernoulli trials, Proceedings of the 2012 American Control Conference, Montreal, Canada, 2012
  48. Zanella, F., D. Varagnolo, A. Cenedese, G. Pillonetto and L. Schenato. Multidimensional Newton-Raphson consensus for distributed convex optimization, Proceedings of the 2012 American Control Conference, Montreal, Canada, 2012
  49. Pillonetto, G. and G. De Nicolao. Pitfalls of the parametric approaches exploiting cross-validation or model order selection . IFAC Symposium on System Identification (SysId 2012), Brussels, 2012
  50. F.P. Carli, A. Chiuso and G. Pillonetto. Efficient algorithms for large scale linear system identification using stable spline estimators. IFAC Symposium on System Identification (SysId 2012), Brussels, 2012
  51. Aravkin, A., J. Burke, A. Chiuso, and G. Pillonetto. On the estimation of hyperparameters for Empirical Bayes estimators: Maximum Marginal Likelihood vs Minimum MSE . IFAC Symposium on System Identification (SysId 2012), Brussels, 2012
  52. Aravkin, A., J. Burke, A. Chiuso, and G. Pillonetto. On the MSE Properties of Empirical Bayes Methods for Sparse Estimation. IFAC Symposium on System Identification (SysId 2012), Brussels, 2012
  53. Aravkin, A., J. Burke and G. Pillonetto. Robust and Trend-following Kalman Smoothers using Student's t. IFAC Symposium on System Identification (SysId 2012), Brussels, 2012
  54. Aravkin, A., J. Burke and G. Pillonetto. A statistical and computational theory for robust and sparse Kalman smoothing. IFAC Symposium on System Identification (SysId 2012), Brussels, 2012
Chapters in National and International Books
  1. Pillonetto, G., B. Bell. Bayesian deconvolution of functions in Reproducing Kernel Hilbert Spaces using MCMC techniques. In System modeling and optimization, Springer, 2004.
  2. Sparacino, G., G. Pillonetto, G. De Nicolao, C. Cobelli. Deconvoluzione per l'analisi di segnali fisiologici. In Metodi avanzati di elaborazione di segnali biomedici, Patron Editore, 2004
  3. Sparacino, G., G. Pillonetto, G. De Nicolao, C.Cobelli. Deconvolution for the Analysis of Biomedical Signals, in S.Cerutti and C.Marchesi Eds: Advanced Methods in Biomedical Signal Processing, Wiley/IEEE Press, 2011