Riccardo Sven Risuleo
Riccardo Sven Risuleo
Postdoctoral researcher in machine learning, Uppsala University
Verified email at kth.se
Title
Cited by
Cited by
Year
A nonparametric kernel-based approach to Hammerstein system identification
RS Risuleo, G Bottegal, H Hjalmarsson
Automatica 85, 234-247, 2017
152017
A kernel-based approach to Hammerstein system identification
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 48 (28), 1011-1016, 2015
152015
Blind system identification using kernel-based methods
G Bottegal, RS Risuleo, H Hjalmarsson
IFAC-PapersOnLine 48 (28), 466-471, 2015
132015
System identification with input uncertainties: an EM kernel-based approach
RS Risuleo
KTH Royal Institute of Technology, 2016
102016
A benchmark for data-based office modeling: challenges related to CO2 dynamics
RS Risuleo, M Molinari, G Bottegal, H Hjalmarsson, KH Johansson
IFAC-PapersOnLine 48 (28), 1256-1261, 2015
102015
Optimal power control for D2D communications under Rician fading: A risk theoretical approach
D Della Penda, RS Risuleo, PE Valenzuela, M Johansson
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
92017
Kernel-based system identification from noisy and incomplete input-output data
RS Risuleo, G Bottegal, H Hjalmarsson
2016 IEEE 55th Conference on Decision and Control (CDC), 2061-2066, 2016
82016
A new kernel-based approach to overparameterized Hammerstein system identification
RS Risuleo, G Bottegal, H Hjalmarsson
2015 54th IEEE Conference on Decision and Control (CDC), 115-120, 2015
82015
Modeling and identification of uncertain-input systems
RS Risuleo, G Bottegal, H Hjalmarsson
Automatica 105, 130-141, 2019
42019
Parameter elimination in particle Gibbs sampling
A Wigren, RS Risuleo, L Murray, F Lindsten
Advances in Neural Information Processing Systems, 8918-8929, 2019
42019
Approximate inference of nonparametric Hammerstein models
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 50 (1), 8333-8338, 2017
42017
Variational Bayes identification of acyclic dynamic networks
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 50 (1), 10556-10561, 2017
42017
Bayesian nonparametric identification of Wiener systems
RS Risuleo, F Lindsten, H Hjalmarsson
Automatica 108, 108480, 2019
32019
On maximum likelihood identification of errors-in-variables models
G Bottegal, RS Risuleo, M Zamani, B Ninness, H Hjalmarsson
IFAC-PapersOnLine 50 (1), 2824-2829, 2017
32017
Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes
M Wang, RS Risuleo, EW Jacobsen, V Chotteau, H Hjalmarsson
Computers & Chemical Engineering 133, 106671, 2020
12020
Identification of linear models from quantized data: a midpoint-projection approach
RS Risuleo, G Bottegal, H Hjalmarsson
IEEE Transactions on Automatic Control, 2019
12019
Semi-parametric kernel-based identification of Wiener systems
RS Risuleo, F Lindsten, H Hjalmarsson
2018 IEEE Conference on Decision and Control (CDC), 3874-3879, 2018
12018
Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models
RS Risuleo, H Hjalmarsson
IEEE control systems letters 2 (4), 647-652, 2018
12018
Approximate maximum-likelihood identification of linear systems from quantized measurements
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 51 (15), 724-729, 2018
12018
On the estimation of initial conditions in kernel-based system identification
RS Risuleo, G Bottegal, H Hjalmarsson
2015 54th IEEE Conference on Decision and Control (CDC), 1120-1125, 2015
12015
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