Mauricio A. Álvarez

发表

Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain

Dan Stowell, Pablo A. Alvarado, Mauricio A. Álvarez, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gaussian process dynamical models for multimodal affect recognition

Mauricio A. Álvarez, Hernán García, Álvaro Orozco, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures

Mauricio A. Álvarez, Hernán García, Álvaro Orozco, 2016, CIARP.

Bayesian Shape Models with Shape Priors for MRI Brain Segmentation

Mauricio A. Álvarez, Hernán García, Álvaro Orozco, 2014, ISVC.

Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models

Mauricio A. Álvarez, Diego Agudelo-España, Álvaro Orozco, 2016, CIARP.

A Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate Bayesian Computation

Mauricio A. Álvarez, Álvaro Orozco, Carlos D. Zuluaga, 2015, ICIAP.

NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2015, ISVC.

Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes pdf

Neil D. Lawrence, Zhenwen Dai, Mauricio A. Álvarez, 2017, NIPS.

Approximate Probabilistic Power Flow

Mauricio A. Álvarez, Carlos D. Zuluaga, 2016, DARE@PKDD/ECML.

Spike source identification using artificial intelligence techniques

Mauricio A. Álvarez, Enrique Guijarro, Álvaro A. Orozco, 2005 .

Sparse Linear Models Applied to Power Quality Disturbance Classification

Mauricio A. Álvarez, Álvaro Orozco, Andrés F. López-Lopera, 2016, CIARP.

Non-linear process convolutions for multi-output Gaussian processes pdf

Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo, 2018, AISTATS.

Efficient Multioutput Gaussian Processes through Variational Inducing Kernels

Neil D. Lawrence, David Luengo, Mauricio A. Álvarez, 2010, AISTATS.

Impulse Response Estimation of Linear Time-Invariant Systems Using Convolved Gaussian Processes and Laguerre Functions

Mauricio A. Álvarez, Cristian Guarnizo, Cristian Guarnizo Lemus, 2017, CIARP.

Kernel temporal enhancement approach for LORETA source reconstruction using EEG data

Mauricio A. Álvarez, Cristian A. Torres-Valencia, M. Claudia Joana Santamaria, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Germán Castellanos-Domínguez, Pablo A. Alvarado, Mauricio A. Álvarez, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Indian Buffet Process for Model Selection in Latent Force Models

Mauricio A. Álvarez, Álvaro Orozco, Cristian Guarnizo, 2015, CIARP.

Switched Latent Force Models for Movement Segmentation

Bernhard Schölkopf, Neil D. Lawrence, Jan Peters, 2010, NIPS.

Multi-task Learning for Aggregated Data using Gaussian Processes pdf

Mauricio A. Álvarez, Fariba Yousefi, Michael Thomas Smith, 2019, NeurIPS.

Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio A. Álvarez, 2015, CIARP.

Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data

Mauricio A. Álvarez, Alvaro Angel Orozco Gutierrez, Cristian A. Torres-Valencia, 2016, CIARP.

Bayesian Probabilistic Power Flow Analysis Using Jacobian Approximate Bayesian Computation

Mauricio A. Álvarez, Carlos David Zuluaga, C. Zuluaga, 2018, IEEE Transactions on Power Systems.

A Discriminative Multi-Output Gaussian Processes Scheme for Brain Electrical Activity Analysis

Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Mauricio A. Álvarez, 2020, Applied Sciences.

Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes pdf

Mauricio A. Álvarez, Wil O. C. Ward, Tom Ryder, 2019, ArXiv.

A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation

Mauricio A. Álvarez, Alvaro Angel Orozco Gutierrez, Óscar A. Henao, 2016, CIARP.

Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes pdf

Mauricio A. Álvarez, Cristian Guarnizo, 2018, UAI.

SVM-based feature selection methods for emotion recognition from multimodal data

Mauricio A. Álvarez, Alvaro Angel Orozco Gutierrez, Cristian A. Torres-Valencia, 2016, Journal on Multimodal User Interfaces.

Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging

Mauricio A. Álvarez, Andrés M. Álvarez, Álvaro Orozco, 2019, Expert Syst. Appl..

Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes

Mauricio A. Álvarez, Álvaro Orozco, Julián Gil González, 2015, IbPRIA.

Sparse Convolved Gaussian Processes for Multi-output Regression

Neil D. Lawrence, Mauricio A. Álvarez, Neil D. Lawrence, 2008, NIPS.

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

Mauricio A. Álvarez, Alvaro Angel Orozco Gutierrez, Cristian A. Torres-Valencia, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2016, CIARP.

Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures

Mauricio A. Álvarez, Hernán García, Álvaro Orozco, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Dynamic facial landmarking selection for emotion recognition using Gaussian processes

Mauricio A. Álvarez, Hernán García, Álvaro Orozco, 2017, Journal on Multimodal User Interfaces.

A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images

Mauricio A. Álvarez, Álvaro Orozco, Julián Gil González, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Heterogeneous Multi-output Gaussian Process Prediction pdf

Antonio Artés-Rodríguez, Mauricio A. Álvarez, Pablo Moreno-Muñoz, 2018, NeurIPS.

Gaussian Process Regression for Binned Data pdf

Neil D. Lawrence, Mauricio A. Álvarez, Michael Thomas Smith, 2018, ArXiv.

Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields pdf

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2015, ISVC.

Gaussian Processes for Slice-Based Super-Resolution MR Images

Mauricio A. Álvarez, Juan Antonio Hernández Tamames, Norberto Malpica, 2015, ISVC.

Representación óptima de señales MER aplicada a la identificación de estructuras cerebrales durante la estimulación cerebral profunda

Mauricio A. Álvarez, Hernán Darío Vargas Cardona, Álvaro Orozco Gutiérrez, 2015 .

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

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge

Mauricio A. Álvarez, Álvaro Orozco, Julián Gil González, 2016, CIARP.

Convolved Multi-output Gaussian Processes for Semi-Supervised Learning

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2015, ICIAP.

Fall Detection Algorithm Based on Thresholds and Residual Events

Jesús Francisco Vargas-Bonilla, Germán Castellanos-Domínguez, Mauricio A. Álvarez, 2015, CIARP.

Global and Local Gaussian Process for Multioutput and Treed Data

Mauricio A. Álvarez, Álvaro Orozco, Jhouben J. Cuesta, 2015, ICIAP.

Variational bridge constructs for approximate Gaussian process regression pdf

Mauricio A. Álvarez, Wil O. C. Ward, 2019, ArXiv.

Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison

Mauricio A. Álvarez, Eduardo Giraldo, Carlos D. Zuluaga, 2015 .

Differentially Private Regression with Gaussian Processes

Neil D. Lawrence, Mauricio A. Álvarez, Max Zwiessele, 2018, AISTATS.

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

Mauricio A. Álvarez, Álvaro Orozco, Juan David Vasquez Jaramillo, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis

Mauricio A. Álvarez, Hernán Darío Vargas Cardona, Álvaro A. Orozco, 2014, ISVC.

Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering

Mauricio A. Álvarez, Álvaro Orozco, Juan J. Giraldo, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Dynamic Hand Gesture Recognition Using Generalized Time Warping and Deep Belief Networks

Mauricio A. Álvarez, Álvaro Orozco, Hernán García, 2015, ISVC.

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

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Latent Force Models

Neil D. Lawrence, David Luengo, Mauricio A. Álvarez, 2009, AISTATS.

Computationally Efficient Convolved Multiple Output Gaussian Processes

Neil D. Lawrence, Mauricio A. Álvarez, Neil D. Lawrence, 2011, J. Mach. Learn. Res..

Gaussian Process Dynamical Models for Emotion Recognition

Mauricio A. Álvarez, Hernán García, Álvaro Orozco, 2014, ISVC.

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio A. Álvarez, 2015, IbPRIA.

Dynamic physiological signal analysis based on Fisher kernels for emotion recognition

Mauricio A. Álvarez, Hernán García, Álvaro Orozco, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Information Potential Variability for Hyperparameter Selection in the MMD Distance

Mauricio A. Álvarez, Andrés M. Álvarez, Álvaro Orozco, 2018, CIARP.

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

Mauricio A. Álvarez, Álvaro Orozco, Cristian A. Torres-Valencia, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic assessment of voice quality in the context of multiple annotations

Mauricio A. Álvarez, Álvaro Orozco, Julián Gil González, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Mauricio A. Álvarez, Álvaro Orozco, Cristian Guarnizo, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Mauricio A. Álvarez, Álvaro Orozco, Hernán Darío Vargas Cardona, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation

Germán Castellanos-Domínguez, David Cárdenas-Peña, Mauricio A. Álvarez, 2015, ICIAP.

Probabilistic Kernel Principal Component Analysis Through Time

Mauricio A. Álvarez, Ricardo Henao, Ricardo Henao, 2006, ICONIP.

Kernels for Vector-Valued Functions: a Review

Neil D. Lawrence, Lorenzo Rosasco, Mauricio A. Álvarez, 2011, Found. Trends Mach. Learn..

Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models

Mauricio A. Álvarez, Hernán García, Álvaro Orozco, 2015, IbPRIA.

Convolved Gaussian process priors for multivariate regression with applications to dynamical systems

Mauricio A. Álvarez, 2011 .

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

Mauricio A. Álvarez, Álvaro Orozco, Julián Gil González, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multi-task learning for subthalamic nucleus identification in deep brain stimulation

Mauricio A. Álvarez, Hernán Darío Vargas Cardona, Álvaro A. Orozco, 2018, Int. J. Mach. Learn. Cybern..

Linear Latent Force Models Using Gaussian Processes

Neil D. Lawrence, David Luengo, Mauricio A. Álvarez, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields

Mauricio A. Álvarez, Andrés M. Álvarez, Hernán Darío Vargas Cardona, 2018, ISVC.

Discriminative Training for Convolved Multiple-Output Gaussian Processes

Mauricio A. Álvarez, Álvaro Orozco, Sebastián Gómez-González, 2015, CIARP.

Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster pdf

Mauricio A. Álvarez, Andrés F. López-Lopera, Nicolas Durrande, 2018, ArXiv.

A Kernel-Based Approach for DBS Parameter Estimation

Mauricio A. Álvarez, Álvaro Orozco, Hernán García, 2016, CIARP.