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ORCIDMauricio A. Álvarez
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- affiliation: School of Computer Science, University of Manchester
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2020 – today
- 2024
[c80]Hernán F. García, Gloria Liliana Porras-Hurtado, Augusto E. Salazar-Jimenez, Eliana Vasquez-Osorio, Mauricio A. Álvarez:
Probabilistic Correspondence Analysis in Pediatric Health by Using Variational Mixture Models. EMBC 2024: 1-4- [c79]Andrés Bueno-Crespo
, Raquel Martínez-España, Juan Morales-García, Ana Ortiz-González, Baldomero Imbernón, José Martínez-Más, Daniel Rosique-Egea, Mauricio A. Álvarez:
Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. IWINAC (2) 2024: 451-460 - [i36]Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A. Álvarez:
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models. CoRR abs/2407.01856 (2024) - [i35]Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A. Álvarez:
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference. CoRR abs/2407.02476 (2024) - 2023
- [j17]Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez:
Adversarial vulnerability bounds for Gaussian process classification. Mach. Learn. 112(3): 971-1009 (2023) - [j16]Chunchao Ma, Mauricio A. Álvarez:
Large scale multi-output multi-class classification using Gaussian processes. Mach. Learn. 112(4): 1077-1106 (2023) - [j15]Julián Gil González, Juan-José Giraldo, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutiérrez, Mauricio A. Álvarez:
Correlated Chained Gaussian Processes for Datasets With Multiple Annotators. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4514-4528 (2023) - [c78]Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions. AISTATS 2023: 8279-8293 - [c77]Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez:
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. NeurIPS 2023 - [c76]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:
Thin and deep Gaussian processes. NeurIPS 2023 - [i34]Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez:
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. CoRR abs/2306.00854 (2023) - [i33]Chunchao Ma, Arthur Leroy, Mauricio A. Álvarez:
Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets. CoRR abs/2308.16822 (2023) - [i32]Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João P. P. Gomes, Diego Mesquita, César Lincoln C. Mattos:
Thin and Deep Gaussian Processes. CoRR abs/2310.11527 (2023) - [i31]Thomas Baldwin-McDonald, Mauricio A. Álvarez:
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning. CoRR abs/2311.14828 (2023) - [i30]Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Álvarez, Dennis Wang:
Longitudinal prediction of DNA methylation to forecast epigenetic outcomes. CoRR abs/2312.13302 (2023) - 2022
- [j14]Juan-José Giraldo, Jie Zhang, Mauricio A. Álvarez:
Correlated Chained Gaussian Processes for Modelling Citizens Mobility Using a Zero-Inflated Poisson Likelihood. IEEE Trans. Intell. Transp. Syst. 23(11): 20337-20351 (2022) - [j13]Juan-José Giraldo, Mauricio A. Álvarez:
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6429-6442 (2022) - [c75]Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez:
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. MIDL 2022: 834-846 - [c74]Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard Wilkinson:
Adjoint-aided inference of Gaussian process driven differential equations. NeurIPS 2022 - [i29]Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard D. Wilkinson:
Adjoint-aided inference of Gaussian process driven differential equations. CoRR abs/2202.04589 (2022) - [i28]Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez:
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. CoRR abs/2203.15598 (2022) - [i27]Michael Thomas Smith, Magnus Ross, Joel Ssematimba, Pablo A. Alvarado, Mauricio A. Álvarez, Engineer Bainomugisha, Richard Wilkinson:
Modelling calibration uncertainty in networks of environmental sensors. CoRR abs/2205.01988 (2022) - [i26]Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Shallow and Deep Nonparametric Convolutions for Gaussian Processes. CoRR abs/2206.08972 (2022) - 2021
- [j12]Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence:
Differentially Private Regression and Classification with Sparse Gaussian Processes. J. Mach. Learn. Res. 22: 188:1-188:41 (2021) - [j11]Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez:
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 656-666 (2021) - [c73]Thomas M. McDonald, Mauricio A. Álvarez:
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features. NeurIPS 2021: 13809-13819 - [c72]Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Learning Nonparametric Volterra Kernels with Gaussian Processes. NeurIPS 2021: 24099-24110 - [c71]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Modular Gaussian Processes for Transfer Learning. NeurIPS 2021: 24730-24740 - [i25]Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Learning Nonparametric Volterra Kernels with Gaussian Processes. CoRR abs/2106.05582 (2021) - [i24]Thomas M. McDonald, Mauricio A. Álvarez:
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features. CoRR abs/2106.05960 (2021) - [i23]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Modular Gaussian Processes for Transfer Learning. CoRR abs/2110.13515 (2021) - 2020
- [c70]Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez:
Black-Box Inference for Non-Linear Latent Force Models. AISTATS 2020: 3088-3098 - [c69]Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González:
Multi-task Causal Learning with Gaussian Processes. NeurIPS 2020 - [i22]Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González:
Multi-task Causal Learning with Gaussian Processes. CoRR abs/2009.12821 (2020) - [i21]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Recyclable Gaussian Processes. CoRR abs/2010.02554 (2020)
2010 – 2019
- 2019
- [j10]Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Andrés M. Álvarez, Mauricio A. Álvarez:
Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. Expert Syst. Appl. 118: 92-108 (2019) - [j9]Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence:
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. IEEE Trans. Autom. Control. 64(7): 2953-2960 (2019) - [j8]Andrés F. López-Lopera, Mauricio A. Álvarez:
Switched Latent Force Models for Reverse-Engineering Transcriptional Regulation in Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 322-335 (2019) - [c68]Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo:
Non-linear process convolutions for multi-output Gaussian processes. AISTATS 2019: 1969-1977 - [c67]Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell:
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. ICASSP 2019: 995-999 - [c66]Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez:
Multi-task Learning for Aggregated Data using Gaussian Processes. NeurIPS 2019: 15050-15060 - [i20]Wil O. C. Ward, Mauricio A. Álvarez:
Variational bridge constructs for approximate Gaussian process regression. CoRR abs/1901.01727 (2019) - [i19]Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez:
Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes. CoRR abs/1906.09199 (2019) - [i18]Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez:
Multi-task Learning for Aggregated Data using Gaussian Processes. CoRR abs/1906.09412 (2019) - [i17]Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez:
Adversarial Vulnerability Bounds for Gaussian Process Classification. CoRR abs/1909.08864 (2019) - [i16]Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence:
Differentially Private Regression and Classification with Sparse Gaussian Processes. CoRR abs/1909.09147 (2019) - [i15]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Continual Multi-task Gaussian Processes. CoRR abs/1911.00002 (2019) - [i14]Juan-José Giraldo, Mauricio A. Álvarez:
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model. CoRR abs/1911.10225 (2019) - [i13]Michael T. Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha:
Machine Learning for a Low-cost Air Pollution Network. CoRR abs/1911.12868 (2019) - 2018
- [j7]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Orozco:
Multi-task learning for subthalamic nucleus identification in deep brain stimulation. Int. J. Mach. Learn. Cybern. 9(7): 1181-1192 (2018) - [c65]Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence:
Differentially Private Regression with Gaussian Processes. AISTATS 2018: 1195-1203 - [c64]Cristhian K. Valencia, Andrés M. Álvarez, Edgar A. Valencia, Mauricio A. Álvarez, Álvaro Orozco:
Information Potential Variability for Hyperparameter Selection in the MMD Distance. CIARP 2018: 279-286 - [c63]J. S. Blandon, Cristhian K. Valencia, Andrés M. Álvarez, Julián David Echeverry, Mauricio A. Álvarez, Álvaro Orozco:
Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering. ICIAR 2018: 245-251 - [c62]Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Mauricio A. Álvarez:
Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields. ISVC 2018: 371-381 - [c61]Hernán F. García, Álvaro Ángel Orozco, Mauricio A. Álvarez:
Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures. MLSP 2018: 1-6 - [c60]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Heterogeneous Multi-output Gaussian Process Prediction. NeurIPS 2018: 6712-6721 - [c59]Cristian Guarnizo, Mauricio A. Álvarez:
Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes. UAI 2018: 835-844 - [i12]Cristian Guarnizo, Mauricio A. Álvarez:
Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes. CoRR abs/1805.07460 (2018) - [i11]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Heterogeneous Multi-output Gaussian Process Prediction. CoRR abs/1805.07633 (2018) - [i10]Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez:
Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster. CoRR abs/1808.10026 (2018) - [i9]Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence:
Gaussian Process Regression for Binned Data. CoRR abs/1809.02010 (2018) - [i8]Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo:
Non-linear process convolutions for multi-output Gaussian processes. CoRR abs/1810.04632 (2018) - [i7]Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell:
Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain. CoRR abs/1810.12679 (2018) - 2017
- [j6]Edgar A. Valencia, Mauricio A. Álvarez:
Short-term time series prediction using Hilbert space embeddings of autoregressive processes. Neurocomputing 266: 595-605 (2017) - [j5]Cristian A. Torres-Valencia, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez:
SVM-based feature selection methods for emotion recognition from multimodal data. J. Multimodal User Interfaces 11(1): 9-23 (2017) - [j4]Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco:
Dynamic facial landmarking selection for emotion recognition using Gaussian processes. J. Multimodal User Interfaces 11(4): 327-340 (2017) - [c58]Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Andrés M. Álvarez, Álvaro Á. Orozco:
Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields. CIARP 2017: 168-176 - [c57]Cristian Guarnizo, Mauricio A. Álvarez:
Impulse Response Estimation of Linear Time-Invariant Systems Using Convolved Gaussian Processes and Laguerre Functions. CIARP 2017: 281-288 - [c56]Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence:
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. NIPS 2017: 5131-5139 - [i6]Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence:
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. CoRR abs/1705.09862 (2017) - [i5]Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence:
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. CoRR abs/1709.05409 (2017) - 2016
- [c55]Iván De La Pava, Juan Mejía, Andrés Álvarez-Meza, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez, Óscar Alberto Henao:
A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation. CIARP 2016: 125-133 - [c54]Viviana Gómez-Orozco, Jhon F. Cuellar-Fierro, Hernán F. García, Andrés Álvarez, Mauricio A. Álvarez, Álvaro Orozco, Óscar Alberto Henao:
A Kernel-Based Approach for DBS Parameter Estimation. CIARP 2016: 158-166 - [c53]Diego Agudelo-España, Mauricio A. Álvarez, Álvaro Á. Orozco:
Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models. CIARP 2016: 249-256 - [c52]Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco:
Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures. CIARP 2016: 291-299 - [c51]Cristian A. Torres-Valencia, J. A. Hernández-Muriel, Wilson González-Vanegas, Andrés Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez, Mauricio A. Álvarez:
Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data. CIARP 2016: 443-450 - [c50]Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez:
Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation. CIARP 2016: 493-501 - [c49]Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco:
Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge. CIARP 2016: 502-510 - [c48]Andrés F. López-Lopera, Mauricio A. Álvarez, Álvaro Á. Orozco:
Sparse Linear Models Applied to Power Quality Disturbance Classification. CIARP 2016: 521-529 - [c47]Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco:
Gaussian process dynamical models for multimodal affect recognition. EMBC 2016: 850-853 - [c46]Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez:
Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields. EMBC 2016: 1111-1114 - [c45]Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco:
A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images. EMBC 2016: 4133-4136 - [c44]Cristian A. Torres-Valencia, M. Claudia Joana Santamaria, Mauricio A. Álvarez:
Kernel temporal enhancement approach for LORETA source reconstruction using EEG data. EMBC 2016: 4527-4530 - [c43]Carlos D. Zuluaga, Mauricio A. Álvarez:
Approximate Probabilistic Power Flow. DARE@PKDD/ECML 2016: 43-53 - [i4]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco:
Generalized Wishart processes for interpolation over diffusion tensor fields. CoRR abs/1606.07968 (2016) - [i3]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco:
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging. CoRR abs/1606.07970 (2016) - 2015
- [c42]Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez:
Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models. CIARP 2015: 391-399 - [c41]Fily Mateos Grisales-Franco, Jesús Francisco Vargas-Bonilla, Álvaro Ángel Orozco, Mauricio A. Álvarez, Germán Castellanos-Domínguez:
Fall Detection Algorithm Based on Thresholds and Residual Events. CIARP 2015: 575-583 - [c40]Sebastián Gómez-González, Mauricio A. Álvarez, Hernán F. García, Jorge I. Ríos, Álvaro Á. Orozco:
Discriminative Training for Convolved Multiple-Output Gaussian Processes. CIARP 2015: 595-602 - [c39]Cristian Guarnizo, Mauricio A. Álvarez, Álvaro Á. Orozco:
Indian Buffet Process for Model Selection in Latent Force Models. CIARP 2015: 635-642 - [c38]Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco:
Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes. EMBC 2015: 3089-3092 - [c37]Juan J. Giraldo, Mauricio A. Álvarez, Álvaro Á. Orozco:
Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering. EMBC 2015: 3101-3104 - [c36]Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco:
Automatic assessment of voice quality in the context of multiple annotations. EMBC 2015: 6236-6239 - [c35]Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez:
Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation. IbPRIA 2015: 300-308 - [c34]Hernán F. García, Juan J. Giraldo, Mauricio A. Álvarez, Álvaro Á. Orozco, Diego Salazar:
Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models. IbPRIA 2015: 387-394 - [c33]Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco:
Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes. IbPRIA 2015: 603-611 - [c32]Andrés F. López-Lopera, Mauricio A. Álvarez, Álvaro Á. Orozco:
Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity. IbPRIA 2015: 612-620 - [c31]Iván De La Pava, Viviana Gómez-Orozco, Mauricio A. Álvarez, Óscar Alberto Henao, Genaro Daza-Santacoloma, Álvaro Á. Orozco:
A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation. IbPRIA 2015: 691-699 - [c30]Carlos D. Zuluaga, Edgar A. Valencia, Mauricio A. Álvarez, Álvaro Á. Orozco:
A Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate Bayesian Computation. ICIAP (1) 2015: 50-61 - [c29]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco:
Convolved Multi-output Gaussian Processes for Semi-Supervised Learning. ICIAP (1) 2015: 109-118 - [c28]Jhouben J. Cuesta, Mauricio A. Álvarez, Álvaro Á. Orozco:
Global and Local Gaussian Process for Multioutput and Treed Data. ICIAP (1) 2015: 161-171 - [c27]Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez:
Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation. ICIAP (1) 2015: 658-667 - [c26]José Bestier Padilla, Ramiro Arango, Hernán F. García, Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez, Enrique Guijarro-Estellés:
NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease. ISVC (1) 2015: 349-358 - [c25]Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco:
Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models. ISVC (1) 2015: 491-500 - [c24]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco:
Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields. ISVC (2) 2015: 499-508 - [c23]Cristian A. Torres-Valencia, Hernán F. García, Germán A. Holguín, Mauricio A. Álvarez, Álvaro Orozco:
Dynamic Hand Gesture Recognition Using Generalized Time Warping and Deep Belief Networks. ISVC (2) 2015: 682-691 - [c22]Hernán Darío Vargas Cardona, Andrés F. López-Lopera, Álvaro Á. Orozco, Mauricio A. Álvarez, Juan Antonio Hernández Tamames, Norberto Malpica:
Gaussian Processes for Slice-Based Super-Resolution MR Images. ISVC (2) 2015: 692-701 - 2014
- [c21]Juan David Vasquez Jaramillo, Mauricio A. Álvarez, Álvaro Á. Orozco:
Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster. EMBC 2014: 338-341 - [c20]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Ángel Orozco:
Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery. EMBC 2014: 950-953 - [c19]Cristian A. Torres-Valencia, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez:
Multiple-output support vector machine regression with feature selection for arousal/valence space emotion assessment. EMBC 2014: 970-973 - [c18]Pablo A. Alvarado, Mauricio A. Álvarez, Genaro Daza-Santacoloma, Álvaro Orozco, Germán Castellanos-Domínguez:
A latent force model for describing electric propagation in deep brain stimulation: A simulation study. EMBC 2014: 2617-2620 - [c17]Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Andrés Eduardo Castro-Ospina, Mauricio A. Álvarez, Germán Castellanos-Domínguez:
Tensor-product kernel-based representation encoding joint MRI view similarity. EMBC 2014: 3897-3900 - [c16]Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco:
Gaussian Process Dynamical Models for Emotion Recognition. ISVC (2) 2014: 799-808 - [c15]Hernán Darío Vargas Cardona, Álvaro Orozco, Mauricio A. Álvarez:
Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis. ISVC (2) 2014: 841-850 - [c14]Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco:
Bayesian Shape Models with Shape Priors for MRI Brain Segmentation. ISVC (2) 2014: 851-860 - 2013
- [j3]Mauricio A. Álvarez, David Luengo, Neil D. Lawrence:
Linear Latent Force Models Using Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2693-2705 (2013) - [c13]Cristian Guarnizo, Álvaro Á. Orozco, Mauricio A. Álvarez:
Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization. EMBC 2013: 993-996 - [c12]Hernán F. García, Álvaro Á. Orozco, Mauricio A. Álvarez:
Dynamic physiological signal analysis based on Fisher kernels for emotion recognition. EMBC 2013: 4322-4325 - [c11]Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez:
Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference. EMBC 2013: 4326-4329 - [c10]Cristian A. Torres-Valencia, Álvaro Á. Orozco, Mauricio A. Álvarez:
Feature selection for multimodal emotion recognition in the arousal-valence space. EMBC 2013: 4330-4333 - 2012
- [j2]Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence:
Kernels for Vector-Valued Functions: A Review. Found. Trends Mach. Learn. 4(3): 195-266 (2012) - [c9]Hernán Darío Vargas Cardona, José Bestier Padilla, Ramiro Arango, Hans Carmona, Mauricio A. Álvarez, Enrique Guijarro-Estellés, Álvaro Ángel Orozco:
NEUROZONE: On-line recognition of brain structures in stereotactic surgery - application to Parkinson's disease. EMBC 2012: 2219-2222 - [c8]Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez:
Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation. EMBC 2012: 4341-4344 - 2011
- [b1]Mauricio A. Álvarez:
Convolved Gaussian process priors for multivariate regression with applications to dynamical systems. University of Manchester, UK, 2011 - [j1]Mauricio A. Álvarez, Neil D. Lawrence:
Computationally Efficient Convolved Multiple Output Gaussian Processes. J. Mach. Learn. Res. 12: 1459-1500 (2011) - [i2]Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence:
Kernels for Vector-Valued Functions: a Review. CoRR abs/1106.6251 (2011) - [i1]Mauricio A. Álvarez, David Luengo, Neil D. Lawrence:
Linear Latent Force Models using Gaussian Processes. CoRR abs/1107.2699 (2011) - 2010
- [c7]Mauricio A. Álvarez, Jan Peters, Bernhard Schölkopf, Neil D. Lawrence:
Switched Latent Force Models for Movement Segmentation. NIPS 2010: 55-63 - [c6]Mauricio A. Álvarez, David Luengo, Michalis K. Titsias, Neil D. Lawrence:
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. AISTATS 2010: 25-32
2000 – 2009
- 2009
- [c5]Mauricio A. Álvarez, David Luengo, Neil D. Lawrence:
Latent Force Models. AISTATS 2009: 9-16 - 2008
- [c4]Mauricio A. Álvarez, Neil D. Lawrence:
Sparse Convolved Gaussian Processes for Multi-output Regression. NIPS 2008: 57-64 - 2006
- [c3]Mauricio A. Álvarez, Ricardo Henao, Germán Castellanos-Domínguez, Juan Ignacio Godino-Llorente, Álvaro Ángel Orozco:
Kernel Principal Component Analysis through Time for Voice Disorder Classification. EMBC 2006: 5511-5514 - [c2]Álvaro Ángel Orozco, Mauricio A. Álvarez, Enrique Guijarro-Estellés, Germán Castellanos-Domínguez:
Identification of Spike Sources using Proximity Analysis through Hidden Markov Models. EMBC 2006: 5555-5558 - [c1]Mauricio A. Álvarez, Ricardo Henao:
Probabilistic Kernel Principal Component Analysis Through Time. ICONIP (1) 2006: 747-754
Coauthor Index
Hernán García
aka: Hernán F. García
aka: Hernán F. García
Álvaro-Ángel Orozco-Gutiérrez
aka: Álvaro Ángel Orozco-Guitiérrez
aka: Álvaro Ángel Orozco
aka: Álvaro Á. Orozco
aka: Álvaro Orozco
aka: Álvaro Ángel Orozco-Guitiérrez
aka: Álvaro Ángel Orozco
aka: Álvaro Á. Orozco
aka: Álvaro Orozco
[j15] [j10] [j7] [c64] [c63] [c62] [c61] [j5] [j4] [c58] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [i4] [i3] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c3] [c2]
Michael T. Smith 0003
aka: Michael Thomas Smith
aka: Michael Thomas Smith
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