Felipe Tobar
Felipe Tobar
Verified email at dim.uchile.cl - Homepage
Title
Cited by
Cited by
Year
Multikernel Least Mean Square Algorithm
FA Tobar, SY Kung, DP Mandic
IEEE Transactions on Neural Networks and Learning Systems 25 (2), 265 - 277, 2014
762014
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
682009
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
F Tobar, T Bui, R Turner
Neural Information Processing Systems 28, 2015
522015
Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions
FA Tobar, DP Mandic
IEEE Transactions on Information Theory, 2014
482014
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
362012
Spectral Mixture Kernels for Multi-Output Gaussian Processes
G Parra, F Tobar
Advances in Neural Information Processing Systems, 2017
302017
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
242018
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
242011
The quaternion kernel least squares.
FA Tobar, DP Mandic
ICASSP, 6128-6132, 2013
192013
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
152018
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
112018
Bayesian Nonparametric Spectral Estimation
F Tobar
Advances in Neural Information Processing Systems, 10127-10137, 2018
112018
Unsupervised State-Space Modelling Using Reproducing Kernels
F Tobar, PM Djuric, DP Mandic
IEEE Transactions on Signal Processing, In print, 2015
112015
Multikernel Least Squares Estimation
FA Tobar, DP Mandic
Sensor Signal Processing for Defence, 2012
112012
Design of Covariance Functions using Inter-Domain Inducing Variables
F Tobar, T Bui, R Turner
Time Series Workshop - NIPS 28, 2015
102015
Modelling of Complex Signals Using Gaussian Processes
F Tobar, RE Turner
IEEE ICASSP, 2015
102015
Estimation of financial indices volatility using a model with time-varying parameters
FA Tobar, ME Orchard, DP Mandic, AG Constantinides
Computational Intelligence for Financial Engineering and Economics, 2014
92014
Compositionally-warped Gaussian processes
G Rios, F Tobar
Neural Networks 118, 235-246, 2019
62019
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
62018
Bayesian learning with wasserstein barycenters
J Backhoff-Veraguas, J Fontbona, G Rios, F Tobar
arXiv preprint arXiv:1805.10833, 2018
6*2018
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