Georgios Birpoutsoukis
Georgios Birpoutsoukis
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Title
Cited by
Cited by
Year
Regularized nonparametric Volterra kernel estimation
G Birpoutsoukis, A Marconato, J Lataire, J Schoukens
Automatica 82, 324-327, 2017
292017
Nonparametric Volterra kernel estimation using regularization
G Birpoutsoukis, J Schoukens
2015 IEEE International Instrumentation and Measurement Technology …, 2015
152015
Efficient multidimensional regularization for Volterra series estimation
G Birpoutsoukis, PZ Csurcsia, J Schoukens
Mechanical Systems and Signal Processing 104, 896-914, 2018
122018
Batch-to-batch model improvement for cooling crystallization
M Forgione, G Birpoutsoukis, X Bombois, A Mesbah, PJ Daudey, ...
Control Engineering Practice 41, 72-82, 2015
122015
Modeling the nonlinear cortical response in EEG evoked by wrist joint manipulation
MP Vlaar, G Birpoutsoukis, J Lataire, M Schoukens, AC Schouten, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (1 …, 2017
102017
Non‐linear system modelling based on constrained Volterra series estimates
P Śliwiński, A Marconato, P Wachel, G Birpoutsoukis
IET Control Theory & Applications 11 (15), 2623-2629, 2017
82017
Gaussian process regression for the estimation of generalized frequency response functions
JG Stoddard, G Birpoutsoukis, J Schoukens, JS Welsh
Automatica 106, 161-167, 2019
32019
Nonparametric Volterra series estimate of the cascaded water tanks using multidimensional regularization
G Birpoutsoukis, PZ Csurcsia, J Schoukens
IFAC-PapersOnLine 50 (1), 476-481, 2017
32017
The effect of prior knowledge on the least costly identification experiment
G Birpoutsoukis, X Bombois
IFAC-PapersOnLine 51 (15), 209-214, 2018
12018
Frequency domain response under arbitrary excitation for fading memory nonlinear systems
JG Stoddard, G Birpoutsoukis, J Lataire, JS Welsh
Automatica 107, 327-332, 2019
2019
Gaussian Process Regression for Generalized Frequency Response Function Estimation
J Stoddard, G Birpoutsoukis
arXiv preprint arXiv:1710.09828, 2017
2017
Gaussian process regression for the estimation of stable univariate time-series processes
G Birpoutsoukis, JM Hendrickx
Gaussian process regression for the estimation of generalized frequency response functions
J Schoukens, J Stoddard, G Birpoutsoukis, J Welsh
" Data-driven modeling to predict the consumption of energy in one or multiple sites
G Dacier, J Hendrickx, G Birpoutsoukis
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Articles 1–14