Mauricio A. Álvarez
Mauricio A. Álvarez
Adresse e-mail validée de sheffield.ac.uk - Page d'accueil
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Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
arXiv preprint arXiv:1106.6251, 2011
5482011
Computationally efficient convolved multiple output Gaussian processes
MA Alvarez, ND Lawrence
The Journal of Machine Learning Research 12, 1459-1500, 2011
2522011
Sparse convolved Gaussian processes for multi-output regression
M Alvarez, N Lawrence
2102008
Latent force models
M Alvarez, D Luengo, ND Lawrence
Artificial Intelligence and Statistics, 9-16, 2009
1482009
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
1132010
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
1032015
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
792013
Switched latent force models for movement segmentation
M Alvarez, J Peters, N Lawrence, B Schölkopf
Advances in neural information processing systems 23, 55-63, 2010
362010
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
322014
Heterogeneous multi-output gaussian process prediction
P Moreno-Muñoz, A Artés-Rodríguez, MA Álvarez
arXiv preprint arXiv:1805.07633, 2018
302018
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
292017
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
282013
Efficient modeling of latent information in supervised learning using gaussian processes
Z Dai, MA Álvarez, ND Lawrence
arXiv preprint arXiv:1705.09862, 2017
262017
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
232018
Differentially private regression with Gaussian processes
M Smith, M Álvarez, M Zwiessele, ND Lawrence
International Conference on Artificial Intelligence and Statistics, 1195-1203, 2018
142018
Gaussian process dynamical models for multimodal affect recognition
HF García, MA Álvarez, ÁÁ Orozco
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
122016
Convolved Gaussian process priors for multivariate regression with applications to dynamical systems
MA Alvarez
PQDT-UK & Ireland, 2011
112011
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
102019
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
92016
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
92015
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