Mauricio A. Álvarez
Mauricio A. Álvarez
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Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
arXiv preprint arXiv:1106.6251, 2011
Computationally efficient convolved multiple output Gaussian processes
MA Álvarez, ND Lawrence
The Journal of Machine Learning Research 12, 1459-1500, 2011
Sparse convolved Gaussian processes for multi-output regression
M Alvarez, N Lawrence
Latent force models
M Alvarez, D Luengo, ND Lawrence
Artificial Intelligence and Statistics, 9-16, 2009
Efficient multioutput Gaussian processes through variational inducing kernels
M Álvarez, D Luengo, M Titsias, ND Lawrence
Proceedings of the Thirteenth International Conference on Artificial …, 2010
Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison
CD Zuluaga, MA Alvarez, E Giraldo
Applied Energy 156, 321-330, 2015
Linear latent force models using Gaussian processes
MA Alvarez, D Luengo, ND Lawrence
IEEE transactions on pattern analysis and machine intelligence 35 (11), 2693 …, 2013
Switched latent force models for movement segmentation
M Alvarez, JR Peters, ND Lawrence, B Schölkopf
Advances in neural information processing systems, 55-63, 2010
Comparative analysis of physiological signals and electroencephalogram (EEG) for multimodal emotion recognition using generative models
CA Torres-Valencia, HF Garcia-Arias, MAA Lopez, AA Orozco-Gutiérrez
2014 XIX Symposium on Image, Signal Processing and Artificial Vision, 1-5, 2014
Feature selection for multimodal emotion recognition in the arousal-valence space
CA Torres, ÁA Orozco, MA Álvarez
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Heterogeneous multi-output gaussian process prediction
P Moreno-Muńoz, A Artés, M Alvarez
Advances in neural information processing systems, 6711-6720, 2018
SVM-based feature selection methods for emotion recognition from multimodal data
C Torres-Valencia, M Álvarez-López, Á Orozco-Gutiérrez
Journal on Multimodal User Interfaces 11 (1), 9-23, 2017
Efficient modeling of latent information in supervised learning using gaussian processes
Z Dai, M Alvarez, N Lawrence
Advances in Neural Information Processing Systems, 5131-5139, 2017
Gaussian process latent force models for learning and stochastic control of physical systems
S Särkkä, MA Álvarez, ND Lawrence
IEEE Transactions on Automatic Control 64 (7), 2953-2960, 2018
Differentially private regression with Gaussian processes
M Smith, M Álvarez, M Zwiessele, ND Lawrence
International Conference on Artificial Intelligence and Statistics, 1195-1203, 2018
Convolved Gaussian process priors for multivariate regression with applications to dynamical systems
MA Alvarez
PQDT-UK & Ireland, 2011
Non-linear process convolutions for multi-output Gaussian processes
MA Álvarez, W Ward, C Guarnizo
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
A probabilistic framework based on SLIC-Superpixel and Gaussian processes for segmenting nerves in ultrasound images
JG González, MA Álvarez, ÁA Orozco
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Gaussian process dynamical models for multimodal affect recognition
HF García, MA Álvarez, ÁA Orozco
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
A Gaussian process emulator for estimating the volume of tissue activated during deep brain stimulation
I De La Pava, V Gómez, MA Álvarez, ÓA Henao, G Daza-Santacoloma, ...
Iberian Conference on Pattern Recognition and Image Analysis, 691-699, 2015
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