Seuraa
Felipe Tobar
Felipe Tobar
Imperial College London
Vahvistettu sähköpostiosoite verkkotunnuksessa dim.uchile.cl - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
F Tobar, T Bui, R Turner
Neural Information Processing Systems 28, 2015
1072015
Spectral Mixture Kernels for Multi-Output Gaussian Processes
G Parra, F Tobar
Advances in Neural Information Processing Systems, 2017
1062017
Multikernel Least Mean Square Algorithm
FA Tobar, SY Kung, DP Mandic
IEEE Transactions on Neural Networks and Learning Systems 25 (2), 265 - 277, 2014
1042014
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
792018
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
762009
Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions
FA Tobar, DP Mandic
IEEE Transactions on Information Theory, 2014
692014
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
642020
Compositionally-warped Gaussian processes
G Rios, F Tobar
Neural Networks 118, 235-246, 2019
572019
MOGPTK: The multi-output Gaussian process toolkit
T de Wolff, A Cuevas, F Tobar
Neurocomputing 424, 49-53, 2021
562021
The Wasserstein-Fourier distance for stationary time series
E Cazelles, A Robert, F Tobar
IEEE Transactions on Signal Processing, 2020
482020
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
462012
Bayesian nonparametric spectral estimation
F Tobar
Advances in Neural Information Processing Systems 31, 10127-10137, 2018
442018
Bayesian learning with Wasserstein barycenters
J Backhoff, J Fontbona, G Rios, F Tobar
ESAIM: Probability and Statistics 26, 436–472, 2022
342022
Unsupervised State-Space Modelling Using Reproducing Kernels
F Tobar, PM Djuric, DP Mandic
IEEE Transactions on Signal Processing, In print, 2015
312015
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
302011
The quaternion kernel least squares.
FA Tobar, DP Mandic
ICASSP, 6128-6132, 2013
242013
Band-limited Gaussian processes: The sinc kernel
F Tobar
Advances in Neural Information Processing Systems 32, 12749-12759, 2019
232019
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
222018
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
212018
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
202018
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Artikkelit 1–20