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Giulia Prando
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2020 – today
- 2022
- [i7]Alexis Bellot, Anish Dhir, Giulia Prando:
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage. CoRR abs/2205.14692 (2022) - 2020
- [j2]Giulia Prando, Mattia Zorzi
, Alessandra Bertoldo, Maurizio Corbetta
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. NeuroImage 208: 116367 (2020) - [i6]Albert Buchard, Baptiste Bouvier, Giulia Prando, Rory Beard, Michail Livieratos, Dan Busbridge
Learning medical triage from clinicians using Deep Q-Learning. CoRR abs/2003.12828 (2020)
2010 – 2019
- 2018
- [i5]Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso:
The role of noise modeling in the estimation of resting-state brain effective connectivity. CoRR abs/1802.05533 (2018) - 2017
- [j1]Giulia Prando, Alessandro Chiuso
Maximum Entropy vector kernels for MIMO system identification. Autom. 79: 326-339 (2017) - [c6]Giulia Prando, Mattia Zorzi
Estimating effective connectivity in linear brain network models. CDC 2017: 5931-5936 - 2016
- [c5]Giulia Prando, Diego Romeres, Alessandro Chiuso:
Online identification of time-varying systems: A Bayesian approach. CDC 2016: 3775-3780 - [c4]Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso:
On-line Bayesian system identification. ECC 2016: 1359-1364 - [c3]Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso:
Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. ECC 2016: 1365-1370 - [i4]Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso:
On-line Bayesian System Identification. CoRR abs/1601.04251 (2016) - [i3]Giulia Prando, Diego Romeres, Alessandro Chiuso:
Online Identification of Time-Varying Systems: a Bayesian approach. CoRR abs/1609.07393 (2016) - 2015
- [c2]Giulia Prando, Alessandro Chiuso
Model reduction for linear bayesian system identification. CDC 2015: 2121-2126 - [i2]Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso:
Maximum Entropy Vector Kernels for MIMO system identification. CoRR abs/1508.02865 (2015) - 2014
- [c1]Giulia Prando, Alessandro Chiuso
Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties. CDC 2014: 1482-1487 - [i1]Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto:
Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties. CoRR abs/1409.8327 (2014)
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