6 citations · 13 across the 8 of their papers we have counts for
8 papers
A Three Spatial Dimension Wave Latent Force Model for Describing Excitation Sources and Electric Potentials Produced by Deep Brain Stimulation
Pablo A. Alvarado, Mauricio A. Álvarez, Álvaro A. Orozco
Deep brain stimulation (DBS) is a surgical treatment for Parkinson's Disease. Static models based on quasi-static approximation are common approaches for DBS modeling. While this s…
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging
Hernan Dario Vargas Cardona, Mauricio A. Alvarez, Alvaro A. Orozco
Diffusion magnetic resonance imaging (dMRI) is an emerging medical technique used for describing water diffusion in an organic tissue. Typically, rank-2 tensors quantify this diffu…
Generalized Wishart processes for interpolation over diffusion tensor fields
Hernan Dario Vargas Cardona, Mauricio A. Alvarez, Alvaro A. Orozco
Diffusion Magnetic Resonance Imaging (dMRI) is a non-invasive tool for watching the microstructure of fibrous nerve and muscle tissue. From dMRI, it is possible to estimate 2-rank…
Sparse Linear Models applied to Power Quality Disturbance Classification
Andrés F. López-Lopera, Mauricio A. Álvarez, Ávaro A. Orozco
Power quality (PQ) analysis describes the non-pure electric signals that are usually present in electric power systems. The automatic recognition of PQ disturbances can be seen as…
A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation
Carlos D. Zuluaga, Edgar A. Valencia, Mauricio A. Álvarez
Approximate Bayesian Computation (ABC) are likelihood-free Monte Carlo methods. ABC methods use a comparison between simulated data, using different parameters drew from a prior di…
Discriminative training for Convolved Multiple-Output Gaussian processes
Sebastián Gómez-González, Mauricio A. Álvarez, Hernán Felipe García
Multi-output Gaussian processes (MOGP) are probability distributions over vector-valued functions, and have been previously used for multi-output regression and for multi-class cla…