Journals
B.J. Restrepo, M. Alvarez, R. Henao. Comparison between generative and discriminative approaches for classification of seismic events (in Spanish). Scientia et Technica 37, p. 109-114, December 2007. ISSN 0122-1701.
M. Alvarez, G. Castellanos, A. Orozco. (2006): Proximity Analysis of Hidden Markov Models for the Identification of Spike Sources (in spanish), Scientia et Technica , No. 31, August, 2006 (Online). ISSN 0122-1701
M. Alvarez, C. Guarnizo, D. Giraldo (2006): Adaptive Control using Pole Placement (in spanish) . Scientia et Technica, No. 30, May, 2006, (Online). ISSN 0122-1701
M. Alvarez, G. Castellanos (2005): Feature Selection using Hidden Markov Models for Pathology Speech Assessment (in Spanish), Scientia et Technica, No. 28, October, 2005, pp 65-68. ISSN 0122-1701
Conferences and Workshops
M. Alvarez, D. Luengo, M. Titsias and N. Lawrence (2010): Efficient Multioutput Gaussian Processes through Variational Inducing Kernels, in Y. Whye Teh and M. Titterington (Eds.), Proceedings of The Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS) 2010, JMLR: W&CP 9, pp. 25-32, Chia Laguna Resort, Sardinia, Italy, May 13-15, 2010. [pdf]
M. Alvarez, D. Luengo and N. Lawrence (2009): Latent Force Models, in D. van Dyk and M. Welling (Eds.), Proceedings of The Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS) 2009, JMLR: W&CP 5, pp. 9-16, Clearwater Beach, Florida, April 16-18, 2009. [pdf]
M. Alvarez and N. Lawrence (2008): Sparse Convolved Gaussian Processes for Multi-output Regression, in D. Koller and D. Schuurmans and Y. Bengio and L. Bottou (Eds), Advances in Neural Information Processing Systems 21, pp 57-64, 2009. [pdf]
M. Alvarez and N. Lawrence (2008): Sparse Multi-Output Gaussian Processes, PASCAL 2008 Workshop on Approximate Inference in Stochastic Processes and Dynamical Systems, Cumberland Lodge, May 27th-29th, 2008. There is a video of this talk at videolectures.net
M. Alvarez and R. Henao (2007): Hidden Markov Bayesian Principal Component Analysis. Proceedings of the 14th International Conference on Neural Information Processing (ICONIP2007). 13-16 November, 2007, Kitakyushu, Japan.
M. Alvarez and R. Henao (2007): Maximum Likelihood for Training Hidden Markov Principal Component Analyzers. Proceedings of the XII Symposium of Signal Processing, Images and Artificial Vision. IEEE Signal Processing Society, Colombian Chapter, September 26th-28th, 2007, Barranquilla, Colombia.
M. Alvarez, R. Henao and A. Orozco (2007): Myocardial Ischemia Detection using Hidden Markov Principal Component Analysis. Proceedings of the IV Latin American Congress on Biomedical Engineering, CLAIB2007. September 24th-28th, 2007, Margarita Island, Venezuela.
M. Alvarez and R. Henao (2006): Probabilistic Kernel Principal Component Analysis through Time, in I. King et al. (Eds.), The 13th International Conference on Neural Information Processing, Lecture Notes in Computer Science, vol. 4232, pp. 747-754, Springer-Verlag. Hong Kong, China, October 3-6, 2006.
M. Alvarez, R. Henao and G. Castellanos (2006): Dimensionality Reduction of Dynamic Features using HMM and Latent Variable Observation Models (in spanish) , XI Symposium of Signal Processing, Images and Artificial Vision. IEEE Signal Processing Society, Colombian Chapter , Bogotá, Colombia, September 13-15, 2006 (Best Research Paper Award).
M. Alvarez, R. Henao, G. Castellanos, J.I. Godino-Llorente and A. Orozco (2006): Kernel Principal Component Analysis through Time for Voice Disorder Classification, Proceedings of The 28th International Conference of the IEEE Engineering in Medicine and Biology Society. New York, USA, August 30 - September 3, 2006.
A. Orozco, M. Alvarez, E. Guijarro and G. Castellanos (2006): Identification of Spike Sources Using Proximity Analysis through Hidden Markov Models, Proceedings of The 28th International Conference of the IEEE Engineering in Medicine and Biology Society. New York, USA, August 30 - September 3, 2006.
A. Orozco, C. Guarnizo, M. Alvarez, G. Castellanos and E. Guijarro (2005): Spike Source Identification Using Artificial Intelligence Techniques, The 3rd IEE International Seminar on Medical Applications of Signal Processing. IEE Signal Processing. London, UK, November 3-4, 2005
Technical Reports and Technical notes
M. A. Álvarez, D. Luengo, M. K. Titsias, N. D. Lawrence (2009): Variational inducing kernels for sparse convolved multiple output Gaussian processes [arXiv]
M. Alvarez, R. Henao (2007): Hidden Markov Bayesian Principal Component Analysis. Universidad Tecnológica de Pereira [pdf]