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Vargas-Cardona, H.D., Orozco, A.A., Alvarez, A.M. et al. (1 more author) (2018) Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. Expert Systems with Applications. ISSN 0957-4174

Guarnizo, C. and Alvarez Lopez, M.A. (2018) Fast kernel approximations for latent force models and convolved multiple-output Gaussian processes. In: Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference (2018). Uncertainty in Artificial Intelligence 2018, 06-10 Aug 2018, Monterey, California, USA. AUAI Press . ISBN 978-0-9966431-3-9

Smith, M., Alvarez Lopez, M.A., Zwiessele, M. et al. (1 more author) (2018) Differentially Private Regression using Gaussian Processes. In: Proceedings of Machine Learning Research. International Conference on Artificial Intelligence and Statistics (AISTATS), 09-11 Apr 2018, Lanzarote, Canary Islands. PMLR .

Zuluaga, C. and Alvarez Lopez, M.A. (2018) Bayesian Probabilistic Power Flow Analysis Using Jacobian Approximate Bayesian Computation. IEEE Transactions on Power Systems. ISSN 0885-8950

Garcia, H.F., Alvarez Lopez, M.A. and Orozco, A.A. (2017) Dynamic Facial Landmarking Selection for Emotion Recognition using Gaussian Processes. Journal on Multimodal User Interfaces, 11 (4). pp. 327-340. ISSN 1783-8738

Alvarez Lopez, M.A., Dai, Z. and Lawrence, N.D. (2017) Efficient modeling of latent information in supervised learning using Gaussian processes. In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. and Garnett, R., (eds.) Advances in Neural Information Processing Systems 30 (NIPS 2017) pre-proceedings. Advances in Neural Information Processing Systems (NIPS) 2017, 04-09 Dec 2017, Long Beach, CA. Massachusetts Institute of Technology Press .

This list was generated on Sun Sep 13 21:45:32 2020 BST.