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Riccardo Sven Risuleo
Riccardo Sven Risuleo
Senior Quantitative Analyst
Verified email at abios.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
462017
Bayesian nonparametric identification of Wiener systems
RS Risuleo, F Lindsten, H Hjalmarsson
Automatica 108, 108480, 2019
252019
Identification of linear models from quantized data: a midpoint-projection approach
RS Risuleo, G Bottegal, H Hjalmarsson
IEEE Transactions on Automatic Control 65 (7), 2801-2813, 2019
252019
A kernel-based approach to Hammerstein system identification
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 48 (28), 1011-1016, 2015
232015
Parameter elimination in particle Gibbs sampling
A Wigren, RS Risuleo, L Murray, F Lindsten
Advances in Neural Information Processing Systems 32, 2019
202019
Blind system identification using kernel-based methods
G Bottegal, RS Risuleo, H Hjalmarsson
IFAC-PapersOnLine 48 (28), 466-471, 2015
192015
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
172020
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
152017
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
152015
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
132015
The klarna product page dataset: A realistic benchmark for web representation learning
A Hotti, RS Risuleo, S Magureanu, A Moradi, J Lagergren
arXiv preprint arXiv:2111.02168, 2021
122021
System identification with input uncertainties: an EM kernel-based approach
RS Risuleo
KTH Royal Institute of Technology, 2016
122016
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
112016
Modeling and identification of uncertain-input systems
RS Risuleo, G Bottegal, H Hjalmarsson
Automatica 105, 130-141, 2019
102019
Variational Bayes identification of acyclic dynamic networks
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 50 (1), 10556-10561, 2017
72017
Approximate maximum-likelihood identification of linear systems from quantized measurements
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 51 (15), 724-729, 2018
62018
Approximate inference of nonparametric Hammerstein models
RS Risuleo, G Bottegal, H Hjalmarsson
IFAC-PapersOnLine 50 (1), 8333-8338, 2017
52017
Graph neural networks for nomination and representation learning of web elements
A Hotti, RS Risuleo, S Magureanu, A Moradi, J Lagergren
arXiv preprint arXiv:2111.02168, 2021
42021
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
42018
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
42015
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