Felipe Tobar
Felipe Tobar
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Cited by
Cited by
Multikernel Least Mean Square Algorithm
FA Tobar, SY Kung, DP Mandic
IEEE Transactions on Neural Networks and Learning Systems 25 (2), 265 - 277, 2014
Outer feedback correction loops in particle filtering-based prognostic algorithms: Statistical performance comparison
M Orchard, F Tobar, G Vachtsevanos
Studies in Informatics and Control 18 (4), 295-304, 2009
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
F Tobar, T Bui, R Turner
Neural Information Processing Systems 28, 2015
Spectral Mixture Kernels for Multi-Output Gaussian Processes
G Parra, F Tobar
Advances in Neural Information Processing Systems, 2017
Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions
FA Tobar, DP Mandic
IEEE Transactions on Information Theory, 2014
Robust Detection of Extreme Events Using Twitter: Worldwide Earthquake Monitoring
B Poblete, J Guzmán, J Maldonado, F Tobar
IEEE Transactions on Multimedia 20 (10), 2551-2561, 2018
A novel augmented complex valued kernel LMS
FA Tobar, A Kuh, DP Mandic
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2012
Compositionally-warped Gaussian processes
G Rios, F Tobar
Neural Networks 118, 235-246, 2019
Anomaly detection in power generation plants using similarity-based modeling and multivariate analysis
FA Tobar, L Yacher, R Paredes, ME Orchard
Proceedings of the 2011 American Control Conference, 1940-1945, 2011
Bayesian nonparametric spectral estimation
F Tobar
Advances in Neural Information Processing Systems 31, 10127-10137, 2018
The quaternion kernel least squares.
FA Tobar, DP Mandic
ICASSP, 6128-6132, 2013
Predicting nationwide obesity from food sales using machine learning
J Dunstan, M Aguirre, M Bastías, C Nau, TA Glass, F Tobar
Health Informatics Journal 26 (1), 652-663, 2020
Echo state network and variational autoencoder for efficient one-class learning on dynamical systems
D Cabrera, F Sancho, M Cerrada, RV Sánchez, F Tobar
Journal of Intelligent & Fuzzy Systems, 1-11, 2018
Bayesian learning with wasserstein barycenters
J Backhoff-Veraguas, J Fontbona, G Rios, F Tobar
arXiv preprint arXiv:1805.10833, 2018
MOGPTK: The multi-output Gaussian process toolkit
T de Wolff, A Cuevas, F Tobar
Neurocomputing 424, 49-53, 2021
Unsupervised State-Space Modelling Using Reproducing Kernels
F Tobar, PM Djuric, DP Mandic
IEEE Transactions on Signal Processing, In print, 2015
Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters
F Tobar, I Castro, J Silva, M Orchard
Pattern Recognition Letters 105, 200-206, 2018
Design of Covariance Functions using Inter-Domain Inducing Variables
F Tobar, T Bui, R Turner
Time Series Workshop - NIPS 28, 2015
Band-limited Gaussian processes: The sinc kernel
F Tobar
Advances in Neural Information Processing Systems 32, 12749-12759, 2019
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process
G Rios, F Tobar
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
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