Riccardo Sven Risuleo
机构: Data and Analytics Specialist, H&M Business Tech
每年引用次数
引用次数
引用: 278
H-指数: 11
I10-指数 : 14
出版物: 33
Approximate inference of nonparametric Hammerstein models
Riccardo S Risuleo , Giulio Bottegal , Håkan Hjalmarsson
IFAC-PapersOnLine 50 ( 1) 8333 -8338
5
2017
Parameter elimination in particle Gibbs sampling
Fredrik Lindsten , Riccardo Sven Risuleo , Lawrence Murray , Anna Wigren
neural information processing systems 32 8918 -8929
3
2019
A benchmark for data-based office modeling: challenges related to CO2 dynamics
Giulio Bottegal , Riccardo Sven Risuleo , Marco Molinari , Håkan Hjalmarsson
IFAC-PapersOnLine 48 ( 28) 1256 -1261
5
2015
Blind system identification using kernel-based methods*
Giulio Bottegal , Riccardo Sven Risuleo , Håkan Hjalmarsson
IFAC-PapersOnLine 48 ( 28) 466 -471
9
2015
A kernel-based approach to Hammerstein system identification
Giulio Bottegal , Riccardo Sven Risuleo , Håkan Hjalmarsson
IFAC-PapersOnLine 48 ( 28) 1011 -1016
21
2015
Approximate Maximum-likelihood Identification of Linear Systems from Quantized Measurements
Riccardo Sven Risuleo , Giulio Bottegal , Håkan Hjalmarsson
IFAC-PapersOnLine 51 ( 15) 724 -729
2
2018
Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models
Riccardo Sven Risuleo , Hakan Hjalmarsson
ieee control systems letters 2 ( 4) 647 -652
2
2018
Modeling and identification of uncertain-input systems
Riccardo Sven Risuleo , Giulio Bottegal , Håkan Hjalmarsson
Automatica 105 ( 105) 130 -141
3
2019
A nonparametric kernel-based approach to Hammerstein system identification
Riccardo Sven Risuleo , Giulio Bottegal , Håkan Hjalmarsson
Automatica 85 ( 85) 234 -247
38
2017
Semi-Parametric Kernel-Based Identification of Wiener Systems
Riccardo Sven Risuleo , Fredrik Lindsten , Hakan Hjalmarsson
2018 IEEE Conference on Decision and Control (CDC) 3874 -3879
1
2018
Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes
Mingliang Wang , Riccardo Sven Risuleo , Elling W. Jacobsen , Véronique Chotteau
Computers & Chemical Engineering 133 106671
5
2020
Optimal Power Control for D2D Communications under Rician Fading: A Risk Theoretical Approach
Demia Della Penda , Riccardo Sven Risuleo , Patricio E. Valenzuela , Mikael Johansson
GLOBECOM 2017 - 2017 IEEE Global Communications Conference 1 -6
7
2017
Bayesian nonparametric identification of Wiener systems
Riccardo Sven Risuleo , Fredrik Lindsten , Håkan Hjalmarsson
Automatica 108 ( 108) 108480
5
2019
Identification of linear models from quantized data: a midpoint-projection approach
Riccardo Sven Risuleo , Giulio Bottegal , Håkan Hjalmarsson
IEEE Transactions on Automatic Control 65 ( 7) 2801 -2813
21
2019
The klarna product page dataset: A realistic benchmark for web representation learning
Alexandra Hotti , Riccardo Sven Risuleo , Stefan Magureanu , Aref Moradi
arXiv preprint arXiv:2111.02168
9
2021
Graph Neural Networks for Nomination and Representation Learning of Web Elements
Alexandra Hotti , Riccardo Sven Risuleo , Stefan Magureanu , Aref Moradi
arXiv preprint arXiv:2111.02168
3
2021
Dynamic labeling of functionally equivalent neighboring nodes in an object model tree
Alexandra Hotti , Riccardo Sven Risuleo , Aref Moradi , Stefan Magureanu
2023
System identification with input uncertainties: an EM kernel-based approach
Riccardo Sven Risuleo
KTH Royal Institute of Technology
12
2016
Efficient computation of maximum probability label assignments for sequences of web elements
Riccardo Sven Risuleo , David Buezas
2
2023
Procedurally generating realistic interfaces using machine learning techniques
Aref Moradi , Alexandra Hotti , Riccardo Sven Risuleo , Stefan Magureanu
2
2022