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Mauricio A. Álvarez
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Year
Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
Foundations and Trends® in Machine Learning 4 (3), 195-266, 2012
9672012
Computationally efficient convolved multiple output Gaussian processes
MA Alvarez, ND Lawrence
The Journal of Machine Learning Research 12, 1459-1500, 2011
3872011
Sparse convolved Gaussian processes for multi-output regression
M Alvarez, N Lawrence
2822008
Latent force models
M Alvarez, D Luengo, ND Lawrence
Artificial Intelligence and Statistics, 9-16, 2009
2212009
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
1632015
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
1542010
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
1292013
Heterogeneous multi-output Gaussian process prediction
P Moreno-Muńoz, A Artés, M Alvarez
Advances in neural information processing systems 31, 2018
952018
Gaussian process latent force models for learning and stochastic control of physical systems
S Särkkä, MA Alvarez, ND Lawrence
IEEE Transactions on Automatic Control 64 (7), 2953-2960, 2018
592018
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
582014
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, 9-23, 2017
572017
Switched latent force models for movement segmentation
M Alvarez, J Peters, N Lawrence, B Schölkopf
Advances in neural information processing systems 23, 2010
402010
Differentially private regression with Gaussian processes
MT Smith, MA Álvarez, M Zwiessele, ND Lawrence
International Conference on Artificial Intelligence and Statistics, 1195-1203, 2018
392018
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
392013
Multi-task learning for aggregated data using Gaussian processes
F Yousefi, MT Smith, M Alvarez
Advances in Neural Information Processing Systems 32, 2019
312019
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
282016
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
262019
Efficient modeling of latent information in supervised learning using gaussian processes
Z Dai, M Álvarez, N Lawrence
Advances in Neural Information Processing Systems 30, 2017
242017
Multi-task causal learning with Gaussian processes
V Aglietti, T Damoulas, M Álvarez, J González
Advances in neural information processing systems 33, 6293-6304, 2020
202020
Bayesian probabilistic power flow analysis using Jacobian approximate Bayesian computation
CD Zuluaga, MA Alvarez
IEEE Transactions on Power Systems 33 (5), 5217-5225, 2018
172018
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