List of works - Mauricio A. Álvarez

A latent force model for describing electric propagation in deep brain stimulation: a simulation study

scientific article published in January 2014

Automatic assessment of voice quality in the context of multiple annotations.

scientific article published in August 2015

Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes.

scientific article published in August 2015

Correlated Chained Gaussian Processes for Modelling Citizens Mobility Using a Zero-Inflated Poisson Likelihood

scientific article published in 2022

Dynamic physiological signal analysis based on Fisher kernels for emotion recognition

scientific article published in January 2013

Feature selection for multimodal emotion recognition in the arousal-valence space

scientific article published in January 2013

Identification of spike sources using proximity analysis through hidden Markov models

scientific article published in January 2006

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation

scientific article published in 2015

Kernel Principal Component analysis through time for voice disorder classification

scientific article published in January 2006

Kernels for Vector-Valued Functions: A Review

article

Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster

scientific article published on January 2014

Linear latent force models using Gaussian processes.

scientific article published in November 2013

Multi-patient learning increases accuracy for Subthalamic Nucleus identification in deep brain stimulation

scientific article published on January 2012

Multiple-output support vector machine regression with feature selection for arousal/valence space emotion assessment

scientific article published in August 2014

NEUROZONE: on-line recognition of brain structures in stereotactic surgery--application to Parkinson's disease

scientific article published in January 2012

Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization.

scientific article published in January 2013

Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering

scientific article

Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila

scientific article published on 27 May 2019

Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery

scientific article published in August 2014

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation

scientific article published in 2015

Switched Latent Force Models for Reverse-Engineering Transcriptional Regulation in Gene Expression Data

scientific article published on 23 October 2017

Tensor-product kernel-based representation encoding joint MRI view similarity.

scientific article published in January 2014

Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference

scientific article published in January 2013

List of works by Mauricio A. Álvarez

A latent force model for describing electric propagation in deep brain stimulation: a simulation study

Automatic assessment of voice quality in the context of multiple annotations.

Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes.

Correlated Chained Gaussian Processes for Modelling Citizens Mobility Using a Zero-Inflated Poisson Likelihood

Dynamic physiological signal analysis based on Fisher kernels for emotion recognition

Feature selection for multimodal emotion recognition in the arousal-valence space

Identification of spike sources using proximity analysis through hidden Markov models

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation

Kernel Principal Component analysis through time for voice disorder classification

Kernels for Vector-Valued Functions: A Review

Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster

Linear latent force models using Gaussian processes.

Multi-patient learning increases accuracy for Subthalamic Nucleus identification in deep brain stimulation

Multiple-output support vector machine regression with feature selection for arousal/valence space emotion assessment

NEUROZONE: on-line recognition of brain structures in stereotactic surgery--application to Parkinson's disease

Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization.

Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering

Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila

Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation

Switched Latent Force Models for Reverse-Engineering Transcriptional Regulation in Gene Expression Data

Tensor-product kernel-based representation encoding joint MRI view similarity.

Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference