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Steven Van Vaerenbergh
Steven Van Vaerenbergh
Associate professor, University of Cantabria
Verified email at unican.es - Homepage
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Cited by
Year
Kernel recursive least-squares tracker for time-varying regression
S Van Vaerenbergh, M Lázaro-Gredilla, I Santamaría
IEEE transactions on neural networks and learning systems 23 (8), 1313-1326, 2012
2102012
A sliding-window kernel RLS algorithm and its application to nonlinear channel identification
S Van Vaerenbergh, J Via, I Santamaría
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
1962006
Gaussian processes for nonlinear signal processing: An overview of recent advances
F Pérez-Cruz, S Van Vaerenbergh, JJ Murillo-Fuentes, M Lázaro-Gredilla, ...
IEEE Signal Processing Magazine 30 (4), 40-50, 2013
1842013
Overlapping mixtures of Gaussian processes for the data association problem
M Lázaro-Gredilla, S Van Vaerenbergh, ND Lawrence
Pattern recognition 45 (4), 1386-1395, 2012
1222012
Fixed-budget kernel recursive least-squares
S Van Vaerenbergh, I Santamaría, W Liu, JC Príncipe
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
1212010
Complex-valued neural networks with nonparametric activation functions
S Scardapane, S Van Vaerenbergh, A Hussain, A Uncini
IEEE Transactions on Emerging Topics in Computational Intelligence 4 (2 …, 2018
1052018
Kafnets: Kernel-based non-parametric activation functions for neural networks
S Scardapane, S Van Vaerenbergh, S Totaro, A Uncini
Neural Networks 110, 19-32, 2019
922019
Nonlinear System Identification using a New Sliding-Window Kernel RLS Algorithm
S Van Vaerenbergh, J Via, I Santamaria
JCM 2 (3), 1-8, 2007
682007
A comparative study of kernel adaptive filtering algorithms
S Van Vaerenbergh, I Santamaría
2013 IEEE Digital Signal Processing and Signal Processing Education Meeting …, 2013
662013
Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals
S Van Vaerenbergh
Universidad de Cantabria, 2010
642010
Blind identification of SIMO Wiener systems based on kernel canonical correlation analysis
S Van Vaerenbergh, J Via, I Santamaria
IEEE Transactions on Signal Processing 61 (9), 2219-2230, 2013
462013
Estimation of the forgetting factor in kernel recursive least squares
S Van Vaerenbergh, I Santamaría, M Lázaro-Gredilla
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
422012
A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sources
S Van Vaerenbergh, I Santamaría
IEEE Transactions on Neural Networks 17 (3), 811-814, 2006
382006
A probabilistic least-mean-squares filter
J Fernandez-Bes, V Elvira, S Van Vaerenbergh
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
362015
Power prediction for electric vehicles using online machine learning
S Rhode, S Van Vaerenbergh, M Pfriem
Engineering Applications of Artificial Intelligence 87, 103278, 2020
352020
A classification of artificial intelligence systems for mathematics education
S Van Vaerenbergh, A Pérez-Suay
Mathematics education in the age of artificial intelligence: How artificial …, 2022
262022
Online regression with kernels
S Van Vaerenbergh, I Santamaría
Regularization, Optimization, Kernels, and Support Vector Machines, 477-501, 2014
242014
A Bayesian approach to tracking with kernel recursive least-squares
M Lázaro-Gredilla, S Van Vaerenbergh, I Santamaría
2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011
242011
Towards an ecosystem for computer-supported geometric reasoning
Z Kovács, T Recio, PR Richard, S Van Vaerenbergh, MP Vélez
International Journal of Mathematical Education in Science and Technology 53 …, 2022
232022
Kernel-based identification of Hammerstein systems for nonlinear acoustic echo-cancellation
S Van Vaerenbergh, LA Azpicueta-Ruiz
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
222014
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