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 | 45 | 2020 |
Maximum entropy vector kernels for MIMO system identification G Prando, A Chiuso, G Pillonetto Automatica 79, 326-339, 2017 | 22 | 2017 |
On-line bayesian system identification D Romeres, G Prando, G Pillonetto, A Chiuso 2016 European Control Conference (ECC), 1359-1364, 2016 | 19 | 2016 |
Online identification of time-varying systems: A Bayesian approach G Prando, D Romeres, A Chiuso 2016 IEEE 55th Conference on Decision and Control (CDC), 3775-3780, 2016 | 18 | 2016 |
Model reduction for linear bayesian system identification G Prando, A Chiuso 2015 54th IEEE Conference on Decision and Control (CDC), 2121-2126, 2015 | 16 | 2015 |
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets G Prando, D Romeres, G Pillonetto, A Chiuso 2016 European Control Conference (ECC), 1365-1370, 2016 | 15 | 2016 |
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties G Prando, A Chiuso, G Pillonetto 53rd IEEE conference on decision and control, 1482-1487, 2014 | 13 | 2014 |
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage A Bellot, A Dhir, G Prando arXiv preprint arXiv:2205.14692, 2022 | 11 | 2022 |
Estimating effective connectivity in linear brain network models G Prando, M Zorzi, A Bertoldo, A Chiuso 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5931-5936, 2017 | 10 | 2017 |
The role of rank penalties in linear system identification G Prando, G Pillonetto, A Chiuso IFAC-PapersOnLine 48 (28), 1293-1300, 2015 | 10 | 2015 |
Learning medical triage from clinicians using deep q-learning A Buchard, B Bouvier, G Prando, R Beard, M Livieratos, D Busbridge, ... arXiv preprint arXiv:2003.12828, 2020 | 6 | 2020 |
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. NeuroImage, 208, Article 116367 G Prando, M Zorzi, A Bertoldo, M Corbetta, M Zorzi, A Chiuso | 5 | 2019 |
Non-Parametric Bayesian Methods for Linear System Identification G Prando Università degli studi di Padova, 2017 | 5 | 2017 |
The role of noise modeling in the estimation of resting-state brain effective connectivity G Prando, M Zorzi, A Bertoldo, A Chiuso IFAC-PapersOnLine 51 (15), 527-532, 2018 | 3 | 2018 |
Model Order Selection in System Identification: New and Old Techniques G Prando | 2 | 2013 |
System and Method for Medical Triage Through Deep Q-Learning AJT Buchard, B Bouvier, M Livieratos, R Beard, K Gourgoulias, S Johri, ... US Patent App. 16/849,162, 2021 | 1 | 2021 |
Classical vs. Bayesian methods for linear system identification: point estimators and confidence sets D Romeres, G Prando, G Pillonetto, A Chiuso arXiv preprint arXiv:1507.00543, 2015 | 1 | 2015 |
Generalization bounds and algorithms for estimating the effect of multiple treatments and dosage A Bellot, A Dhir, G Prando | 1 | |
Stabilizzazione in retroazione del moto di una bicicletta G Prando | | 2010 |