Robust Kalman Filtering under Model Perturbations M Zorzi IEEE Transactions on Automatic Control 62 (6), 2902-2907, 2017 | 136 | 2017 |
AR identification of Latent-variable Graphical models M Zorzi, R Sepulchre IEEE Transactions on Automatic Control 61 (9), 2327 - 2340, 2016 | 87 | 2016 |
Sparse plus low rank network identification: A nonparametric approach M Zorzi, A Chiuso Automatica 76, 355-366, 2017 | 86 | 2017 |
A new family of high-resolution multivariate spectral estimators M Zorzi IEEE Transactions on Automatic Control 59 (4), 892-904, 2014 | 73 | 2014 |
Multivariate Spectral Estimation Based on the Concept of Optimal Prediction M Zorzi IEEE Transactions on Automatic Control 60 (6), 1647 - 1652, 2015 | 62 | 2015 |
A maximum entropy enhancement for a family of high-resolution spectral estimators A Ferrante, M Pavon, M Zorzi IEEE Transactions on Automatic Control 57 (2), 318-329, 2012 | 55 | 2012 |
On the Robustness of the Bayes and Wiener Estimators under Model Uncertainty M Zorzi Automatica 83, 133-140, 2017 | 53 | 2017 |
Online semi-parametric learning for inverse dynamics modeling D Romeres, M Zorzi, R Camoriano, A Chiuso 2016 IEEE 55th Conference on Decision and Control (CDC), 2945-2950, 2016 | 53 | 2016 |
The harmonic analysis of kernel functions M Zorzi, A Chiuso Automatica 94, 125-137, 2018 | 50 | 2018 |
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data G Prando, M Zorzi, A Bertoldo, M Corbetta, M Zorzi, A Chiuso NeuroImage 208, 116367, 2020 | 49 | 2020 |
Rational approximations of spectral densities based on the Alpha divergence M Zorzi Mathematics of Control, Signals, and Systems 26, 259-278, 2014 | 46 | 2014 |
Derivative-free online learning of inverse dynamics models D Romeres, M Zorzi, R Camoriano, S Traversaro, A Chiuso IEEE Transactions on Control Systems Technology 28 (3), 816-830, 2019 | 44 | 2019 |
A contraction analysis of the convergence of risk-sensitive filters BC Levy, M Zorzi SIAM Journal on Control and Optimization 54 (4), 2154-2173, 2016 | 42 | 2016 |
Robust kalman filtering under model uncertainty: The case of degenerate densities S Yi, M Zorzi IEEE Transactions on Automatic Control 67 (7), 3458-3471, 2021 | 39 | 2021 |
An Interpretation of the Dual Problem of the THREE-like Approaches M Zorzi Automatica 62 (12), 87-92, 2015 | 37 | 2015 |
On the estimation of structured covariance matrices M Zorzi, A Ferrante Automatica 48 (9), 2145-2151, 2012 | 36 | 2012 |
Identification of sparse reciprocal graphical models D Alpago, M Zorzi, A Ferrante IEEE control systems letters 2 (4), 659-664, 2018 | 35 | 2018 |
Convergence analysis of a family of robust Kalman filters based on the contraction principle M Zorzi SIAM J. Optimization Control, to appear, 2017 | 34 | 2017 |
Factor Models with Real Data: a Robust Estimation of the Number of Factors V Ciccone, A Ferrante, M Zorzi Transactions on Automatic Control 64, 2019 | 30 | 2019 |
Sparse plus low-rank autoregressive identification in neuroimaging time series R Liegeois, B Mishra, M Zorzi, R Sepulchre 2015 54th IEEE Conference on Decision and Control (CDC), 3965 - 3970, 2015 | 30 | 2015 |