Mauricio A. Álvarez

According to our database, Mauricio A. Álvarez authored at least 113 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference.

Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A. Álvarez

CoRR, 2024

Adaptive RKHS Fourier Features for Compositional Gaussian Process Models.

Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A. Álvarez

CoRR, 2024

Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model.

Andrés Bueno-Crespo, Raquel Martínez-España, Juan Morales-García, Ana Ortiz-González, Baldomero Imbernón, José Martínez-Más, Daniel Rosique-Egea, Mauricio A. Álvarez

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

2023

Correlated Chained Gaussian Processes for Datasets With Multiple Annotators.

Julián Gil González, Juan-José Giraldo, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Mauricio A. Álvarez

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Large scale multi-output multi-class classification using Gaussian processes.

Chunchao Ma, Mauricio A. Álvarez

Mach. Learn., April, 2023

Adversarial vulnerability bounds for Gaussian process classification.

Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez

Mach. Learn., March, 2023

Longitudinal prediction of DNA methylation to forecast epigenetic outcomes.

Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Álvarez, Dennis Wang

CoRR, 2023

Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning.

Thomas Baldwin-McDonald, Mauricio A. Álvarez

CoRR, 2023

Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets.

Chunchao Ma, Arthur Leroy, Mauricio A. Álvarez

CoRR, 2023

Thin and deep Gaussian processes.

Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César Lincoln C. Mattos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI.

Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nonparametric Gaussian Process Covariances via Multidimensional Convolutions.

Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model.

Juan-José Giraldo, Mauricio A. Álvarez

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Juan-José Giraldo, Jie Zhang, Mauricio A. Álvarez

IEEE Trans. Intell. Transp. Syst., 2022

Shallow and Deep Nonparametric Convolutions for Gaussian Processes.

Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez

CoRR, 2022

Modelling calibration uncertainty in networks of environmental sensors.

Michael Thomas Smith, Magnus Ross, Joel Ssematimba, Pablo A. Alvarado, Mauricio A. Álvarez, Engineer Bainomugisha, Richard Wilkinson

CoRR, 2022

Adjoint-aided inference of Gaussian process driven differential equations.

Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard Wilkinson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder.

Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

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

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

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Differentially Private Regression and Classification with Sparse Gaussian Processes.

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

J. Mach. Learn. Res., 2021

Learning Nonparametric Volterra Kernels with Gaussian Processes.

Magnus Ross, Michael T. Smith, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modular Gaussian Processes for Transfer Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features.

Thomas M. McDonald, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Recyclable Gaussian Processes.

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

CoRR, 2020

Multi-task Causal Learning with Gaussian Processes.

Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Black-Box Inference for Non-Linear Latent Force Models.

Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

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

Andrés F. López-Lopera, Mauricio A. Álvarez

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems.

Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence

IEEE Trans. Autom. Control., 2019

Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging.

Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Andrés M. Álvarez, Mauricio A. Álvarez

Expert Syst. Appl., 2019

Machine Learning for a Low-cost Air Pollution Network.

Michael T. Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha

CoRR, 2019

A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model.

Juan-José Giraldo, Mauricio A. Álvarez

CoRR, 2019

Continual Multi-task Gaussian Processes.

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

CoRR, 2019

Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes.

Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez

CoRR, 2019

Variational bridge constructs for approximate Gaussian process regression.

Wil O. C. Ward, Mauricio A. Álvarez

CoRR, 2019

Multi-task Learning for Aggregated Data using Gaussian Processes.

Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell

Proceedings of the IEEE International Conference on Acoustics, 2019

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

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

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

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

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

Int. J. Mach. Learn. Cybern., 2018

Gaussian Process Regression for Binned Data.

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

CoRR, 2018

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

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

CoRR, 2018

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

Cristian Guarnizo, Mauricio A. Álvarez

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Heterogeneous Multi-output Gaussian Process Prediction.

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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Hernán F. García, Álvaro Ángel Orozco, Mauricio A. Álvarez

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

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

Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Mauricio A. Álvarez

Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering.

J. S. Blandon, Cristhian K. Valencia, Andrés M. Álvarez, Julián David Echeverry, Mauricio A. Álvarez, Álvaro Orozco

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Information Potential Variability for Hyperparameter Selection in the MMD Distance.

Cristhian K. Valencia, Andrés M. Álvarez, Edgar A. Valencia, Mauricio A. Álvarez, Álvaro Orozco

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Differentially Private Regression with Gaussian Processes.

Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

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

Cristian A. Torres-Valencia, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez

J. Multimodal User Interfaces, 2017

Dynamic facial landmarking selection for emotion recognition using Gaussian processes.

Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco

J. Multimodal User Interfaces, 2017

Short-term time series prediction using Hilbert space embeddings of autoregressive processes.

Edgar A. Valencia, Mauricio A. Álvarez

Neurocomputing, 2017

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

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Cristian Guarnizo, Mauricio A. Álvarez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields.

Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Andrés M. Álvarez, Álvaro Á. Orozco

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging.

Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco

CoRR, 2016

Approximate Probabilistic Power Flow.

Carlos D. Zuluaga, Mauricio A. Álvarez

Proceedings of the Data Analytics for Renewable Energy Integration, 2016

Kernel temporal enhancement approach for LORETA source reconstruction using EEG data.

Cristian A. Torres-Valencia, M. Claudia Joana Santamaria, Mauricio A. Álvarez

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Gaussian process dynamical models for multimodal affect recognition.

Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

Cristian A. Torres-Valencia, J. A. Hernández-Muriel, Wilson González-Vanegas, Andrés Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez, Mauricio A. Álvarez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

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

Iván De La Pava, Juan Mejía, Andrés Álvarez-Meza, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez, Óscar Alberto Henao

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Sparse Linear Models Applied to Power Quality Disturbance Classification.

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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge.

Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

A Kernel-Based Approach for DBS Parameter Estimation.

Viviana Gómez-Orozco, Jhon F. Cuellar-Fierro, Hernán F. García, Andrés Álvarez, Mauricio A. Álvarez, Álvaro Orozco, Óscar Alberto Henao

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures.

Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

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

Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

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

Diego Agudelo-España, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015

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

Cristian A. Torres-Valencia, Hernán F. García, Germán A. Holguín, Mauricio A. Álvarez, Álvaro Orozco

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

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

José Bestier Padilla, Ramiro Arango, Hernán F. García, Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez, Enrique Guijarro-Estellés

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models.

Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Gaussian Processes for Slice-Based Super-Resolution MR Images.

Hernán Darío Vargas Cardona, Andrés F. López-Lopera, Álvaro Á. Orozco, Mauricio A. Álvarez, Juan Antonio Hernández Tamames, Norberto Malpica

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields.

Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

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, Álvaro Á. Orozco

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation.

Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Global and Local Gaussian Process for Multioutput and Treed Data.

Jhouben J. Cuesta, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Convolved Multi-output Gaussian Processes for Semi-Supervised Learning.

Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation.

Iván De La Pava, Viviana Gómez-Orozco, Mauricio A. Álvarez, Óscar Alberto Henao, Genaro Daza-Santacoloma, Álvaro Á. Orozco

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation.

Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity.

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

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

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

Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models.

Hernán F. García, Juan J. Giraldo, Mauricio A. Álvarez, Álvaro Á. Orozco, Diego Salazar

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

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

Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering.

Juan J. Giraldo, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

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

Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Indian Buffet Process for Model Selection in Latent Force Models.

Cristian Guarnizo, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Fall Detection Algorithm Based on Thresholds and Residual Events.

Fily Mateos Grisales-Franco, Jesús Francisco Vargas-Bonilla, Álvaro Ángel Orozco, Mauricio A. Álvarez, Germán Castellanos-Domínguez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

Discriminative Training for Convolved Multiple-Output Gaussian Processes.

Sebastián Gómez-González, Mauricio A. Álvarez, Hernán F. García, Jorge I. Ríos, Álvaro Á. Orozco

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

Bayesian Shape Models with Shape Priors for MRI Brain Segmentation.

Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Gaussian Process Dynamical Models for Emotion Recognition.

Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis.

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

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

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

Cristian A. Torres-Valencia, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Juan David Vasquez Jaramillo, Mauricio A. Álvarez, Álvaro Á. Orozco

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Ángel Orozco

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Andrés Eduardo Castro-Ospina, Mauricio A. Álvarez, Germán Castellanos-Domínguez

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Pablo A. Alvarado, Mauricio A. Álvarez, Genaro Daza-Santacoloma, Álvaro Orozco, Germán Castellanos-Domínguez

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Linear Latent Force Models Using Gaussian Processes.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2013

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

Cristian A. Torres-Valencia, Álvaro Á. Orozco, Mauricio A. Álvarez

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

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

Cristian Guarnizo, Álvaro Á. Orozco, Mauricio A. Álvarez

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Dynamic physiological signal analysis based on Fisher kernels for emotion recognition.

Hernán F. García, Álvaro Á. Orozco, Mauricio A. Álvarez

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

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

Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Kernels for Vector-Valued Functions: A Review.

Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence

Found. Trends Mach. Learn., 2012

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

Hernán Darío Vargas Cardona, José Bestier Padilla, Ramiro Arango, Hans Carmona, Mauricio A. Álvarez, Enrique Guijarro-Estellés, Álvaro Ángel Orozco

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

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

Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

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

Mauricio A. Álvarez

PhD thesis, 2011

Computationally Efficient Convolved Multiple Output Gaussian Processes.

Mauricio A. Álvarez, Neil D. Lawrence

J. Mach. Learn. Res., 2011

2010

Efficient Multioutput Gaussian Processes through Variational Inducing Kernels.

Mauricio A. Álvarez, David Luengo, Michalis K. Titsias, Neil D. Lawrence

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Switched Latent Force Models for Movement Segmentation.

Mauricio A. Álvarez, Jan Peters, Bernhard Schölkopf, Neil D. Lawrence

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Latent Force Models.

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

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008

Sparse Convolved Gaussian Processes for Multi-output Regression.

Mauricio A. Álvarez, Neil D. Lawrence

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2006

Probabilistic Kernel Principal Component Analysis Through Time.

Mauricio A. Álvarez, Ricardo Henao

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Identification of Spike Sources using Proximity Analysis through Hidden Markov Models.

Álvaro Ángel Orozco, Mauricio A. Álvarez, Enrique Guijarro-Estellés, Germán Castellanos-Domínguez

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Kernel Principal Component Analysis through Time for Voice Disorder Classification.

Mauricio A. Álvarez, Ricardo Henao, Germán Castellanos-Domínguez, Juan Ignacio Godino-Llorente, Álvaro Ángel Orozco

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006