Andrés Marino Álvarez-Meza

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 44

Top Topics

Compactly Supported

Adaptive Filtering

Kernel Learning

Top Venues

Publications

Jenniffer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, Julián Gil González, Tom De Swaef, Jose Armando Fernandez-Gallego
Crop Water Status Analysis from Complex Agricultural Data Using UMAP-Based Local Biplot. Remote. Sens. 16 (15) (2024)
Diego Armando Perez-Rosero, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
A Regularized Physics-Informed Neural Network to Support Data-Driven Nonlinear Constrained Optimization. Comput. 13 (7) (2024)
Mateo Tobón-Henao, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
Kernel-Based Regularized EEGNet Using Centered Alignment and Gaussian Connectivity for Motor Imagery Discrimination. Comput. 12 (7) (2023)
Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño Duque, César Germán Castellanos-Domínguez
Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity. Sensors 23 (5) (2023)
Juan Carlos Aguirre-Arango, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Feet Segmentation for Regional Analgesia Monitoring Using Convolutional RFF and Layer-Wise Weighted CAM Interpretability. Comput. 11 (6) (2023)
Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro Ángel Orozco-Guitiérrez
-SNE with multi-scale neighborhood preservation. Neurocomputing 550 (2023)
Julián Gil González, Juan-José Giraldo, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Mauricio A. Álvarez
Correlated Chained Gaussian Processes for Datasets With Multiple Annotators. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Andrés Marino Álvarez-Meza, Héctor Fabio Torres Cardona, Mauricio Orozco-Alzate, Hernan Dario Perez-Nastar, Germán Castellanos-Domínguez
Affective Neural Responses Sonified through Labeled Correlation Alignment. Sensors 23 (12) (2023)
Jenniffer Carolina Triana-Martinez, Julián Gil González, Jose Armando Fernandez-Gallego, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification. Sensors 23 (7) (2023)
Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño Duque, Germán Castellanos-Domínguez
A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. Sensors 23 (7) (2023)
Cristian Alfonso Jimenez Castaño, Andrés Marino Álvarez-Meza, Oscar David Aguirre-Ospina, David Augusto Cárdenas-Peña, Álvaro-Ángel Orozco-Gutierrez
Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation. Sensors 21 (22) (2021)
Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Spatial interpretability of time-frequency relevance optimized in motor imagery discrimination using Deep&Wide networks. Biomed. Signal Process. Control. 68 (2021)
Diego Fabian Collazos-Huertas, Luisa Fernanda Velásquez-Martínez, Hernan Dario Perez-Nastar, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires. Sensors 21 (15) (2021)
J. S. Blandon, Álvaro-Ángel Orozco-Gutierrez, Andrés Marino Álvarez-Meza
An enhanced and interpretable feature representation approach to support shape classification from binary images. Pattern Recognit. Lett. 151 (2021)
Andrés F. Valencia-Duque, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Héctor F. Quintero-Riaza
Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation. Sensors 21 (6) (2021)
Daniel Guillermo García-Murillo, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Single-Trial Kernel-Based Functional Connectivity for Enhanced Feature Extraction in Motor-Related Tasks. Sensors 21 (8) (2021)
Cristian Kaori Valencia-Marin, Juan Diego Pulgarin-Giraldo, Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability. Sensors 21 (13) (2021)
Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Carlos Daniel Acosta-Medina, Germán Castaño Duque, Germán Castellanos-Domínguez
CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification. Brain Informatics 7 (1) (2020)
Cristian Jimenez Castaño, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez
Enhanced automatic twin support vector machine for imbalanced data classification. Pattern Recognit. 107 (2020)
Wilson González-Vanegas, Andrés Marino Álvarez-Meza, J. A. Hernández-Muriel, Álvaro-Ángel Orozco-Gutierrez
AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning. Entropy 21 (10) (2019)
Jorge Fernández-Ramírez, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Julián David Echeverry Correa
Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition. ISVC (2) (2019)
Julián Gil González, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco
Gaussian Processes Regression with Multiple Annotators: When the Annotator Performance Is Not Homogeneous. CIARP (2018)
Juan Diego Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, Steven Van Vaerenbergh, Ignacio Santamaría, Germán Castellanos-Domínguez
Analysis and Classification of MoCap Data by Hilbert Space Embedding-Based Distance and Multikernel Learning. CIARP (2018)
Cristian Jimenez, Andrés Marino Álvarez-Meza, Álvaro Orozco
A Data Representation Approach to Support Imbalanced Data Classification Based on TWSVM. CIARP (2018)
Julián Gil González, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez
Learning from multiple annotators using kernel alignment. Pattern Recognit. Lett. 116 (2018)
C. Ramirez, Viviana Gómez-Orozco, Iván De La Pava, Andrés Marino Álvarez-Meza, Julián David Echeverry, Jorge I. Ríos, Álvaro Orozco
An Automatic Brain Tumor Segmentation Approach Based on Affinity Clustering. CIARP (2018)
Jorge Fernández-Ramírez, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez
Video-Based Human Action Recognition Using Kernel Relevance Analysis. ISVC (2018)
David Cárdenas-Peña, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Supervised kernel approach for automated learning using General Stochastic Networks. Eng. Appl. Artif. Intell. 68 (2018)
J. S. Blandon, Andrés Marino Álvarez-Meza, Álvaro Orozco
A DTW-Based Representation to Support Static Sign Language Recognition from Binary Images. CIARP (2018)
Juan D. Pulgarin-Giraldo, A. A. Ruales-Torres, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data. IWINAC (2) (2017)
Andrés Marino Álvarez-Meza, John Aldo Lee, Michel Verleysen, Germán Castellanos-Domínguez
Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. Neurocomputing 222 (2017)
Wilson González-Vanegas, Andrés Marino Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez
Sparse Hilbert Embedding-Based Statistical Inference of Stochastic Ecological Systems. CIARP (2017)
Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings. IWINAC (1) (2017)
Roger Gomez Nieto, Andrés Marino Álvarez-Meza, Julián David Echeverry Correa, Álvaro Ángel Orozco-Guitiérrez
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach. CoRR (2017)
Walter Serna-Serna, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez
Volume Rendering by Stochastic Neighbor Embedding-Based 2D Transfer Function Building. CIARP (2017)
Andrés Marino Álvarez-Meza, Andrés Eduardo Castro-Ospina, Germán Castellanos-Domínguez
Automatic graph pruning based on kernel alignment for spectral clustering. Pattern Recognit. Lett. 70 (2016)
Juan D. Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, David Insuasti-Ceballos, Thierry Bouwmans, Germán Castellanos-Domínguez
GMM Background Modeling Using Divergence-Based Weight Updating. CIARP (2016)
Andrés Marino Álvarez-Meza, Santiago Molina-Giraldo, Germán Castellanos-Domínguez
Background modeling using Object-based Selective Updating and Correntropy adaptation. Image Vis. Comput. 45 (2016)
Juan D. Pulgarin-Giraldo, Andrés Marino Álvarez-Meza, L. G. Melo-Betancourt, S. Ramos-Bermudez, Germán Castellanos-Domínguez
A Similarity Indicator for Differentiating Kinematic Performance Between Qualified Tennis Players. CIARP (2016)
Esther E. Bron, Marion Smits, Wiesje M. van der Flier, Hugo Vrenken, Frederik Barkhof, Philip Scheltens, Janne M. Papma, Rebecca M. E. Steketee, Carolina Méndez Orellana, Rozanna Meijboom, Madalena Pinto, Joana R. Meireles, Carolina Garrett, António J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, Roberto Bellotti, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, Katja Franke
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage 111 (2015)
Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks. IbPRIA (2015)
Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities. IWINAC (1) (2015)
Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, Natalia Gaviria-Gómez, Germán Castellanos-Domínguez
Kernel-Based Feature Relevance Analysis for ECG Beat Classification. IbPRIA (2015)
Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez
Time-series discrimination using feature relevance analysis in motor imagery classification. Neurocomputing 151 (2015)
Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering. CIARP (2014)
Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, José Carlos Príncipe
Functional relevant multichannel kernel adaptive filter for human activity analysis. ICASSP (2014)
Juan David Martínez-Vargas, Cristian Castro Hoyos, Andrés Marino Álvarez-Meza, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez
Recursive Separation of Stationary Components by Subspace Projection and Stochastic Constraints. ICPR (2014)
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)
Andrés Marino Álvarez-Meza, Santiago Molina-Giraldo, Germán Castellanos-Domínguez
Correntropy-Based Adaptive Learning to Support Video Surveillance Systems. ICPR (2014)
Andrés Marino Álvarez-Meza, Andrés Eduardo Castro-Ospina, Germán Castellanos-Domínguez
Spectral Clustering Using Compactly Supported Graph Building. CIARP (2014)
Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Germán Castellanos-Domínguez
Unsupervised Kernel Function Building Using Maximization of Information Potential Variability. CIARP (2014)
David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Kernel-Based Image Representation for Brain MRI Discrimination. CIARP (2014)
Sergio García-Vega, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings. CIARP (2014)
David Cárdenas-Peña, Mauricio Orbes-Arteaga, Andrés Eduardo Castro-Ospina, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering. ICPR (2014)
Andrés Marino Álvarez-Meza, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez
Automatic Singular Spectrum Analysis for Time-Series Decomposition. ESANN (2013)
Andrés Eduardo Castro-Ospina, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
Automatic Graph Building Approach for Spectral Clustering. CIARP (1) (2013)
Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
MoCap Data Segmentation and Classification Using Kernel Based Multi-channel Analysis. CIARP (2) (2013)
Andrés Marino Álvarez-Meza, Juliana Valencia-Aguirre, Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez
Video analysis based on Multi-Kernel Representation with automatic parameter choice. Neurocomputing 100 (2013)
Santiago Molina-Giraldo, Johanna Carvajal González, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Video Segmentation Framework Based on Multi-kernel Representations and Feature Relevance Analysis for Object Classification. ICPRAM (Selected Papers) (2013)
Andrés Marino Álvarez-Meza, Luisa Fernanda Velásquez-Martínez, Germán Castellanos-Domínguez
Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems. EMBC (2013)
Santiago Molina-Giraldo, Andrés Marino Álvarez-Meza, Julio C. García-Álvarez, César Germán Castellanos-Domínguez
Video Segmentation Framework by Dynamic Background Modelling. ICIAP (1) (2013)
Santiago Molina-Giraldo, Johanna Carvajal González, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Video Segmentation based on Multi-kernel Learning and Feature Relevance Analysis for Object Classification. ICPRAM (2013)
Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
Motor Imagery Classification for BCI Using Common Spatial Patterns and Feature Relevance Analysis. IWINAC (2) (2013)
Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
Kernel Spectral Clustering for Dynamic Data. CIARP (1) (2013)
Lina María Sepúlveda-Cano, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Training using short-time features for OSA discrimination. EMBC (2012)
Santiago Molina-Giraldo, Andrés Marino Álvarez-Meza, Diego Hernán Peluffo-Ordóñez, Germán Castellanos-Domínguez
Image Segmentation Based on Multi-Kernel Learning and Feature Relevance Analysis. IBERAMIA (2012)
Juliana Valencia-Aguirre, Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez
Human Activity Recognition by Class Label LLE. CIARP (2012)
Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, Germán Castellanos-Domínguez
Biomedical Data Analysis by Supervised Manifold Learning. EMBC (2012)
Johanna Carvajal González, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez
Feature Selection by Relevance Analysis for Abandoned Object Classification. CIARP (2012)
Juan Rafael Orozco-Arroyave, S. Murillo Rendón, Andrés Marino Álvarez-Meza, Julián D. Arias-Londoño, Edilson Delgado-Trejos, Jesús Francisco Vargas-Bonilla, César Germán Castellanos-Domínguez
Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection. INTERSPEECH (2011)
Andrés Marino Álvarez-Meza, Juliana Valencia-Aguirre, Genaro Daza-Santacoloma, Germán Castellanos-Domínguez
Global and local choice of the number of nearest neighbors in locally linear embedding. Pattern Recognit. Lett. 32 (16) (2011)
Juliana Valencia-Aguirre, Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, César Germán Castellanos-Domínguez
Multiple Manifold Learning by Nonlinear Dimensionality Reduction. CIARP (2011)
Andrés Marino Álvarez-Meza, Juliana Valencia-Aguirre, Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez
Image Synthesis Based on Manifold Learning. CAIP (2) (2011)
Juliana Valencia-Aguirre, Andrés Marino Álvarez-Meza, Genaro Daza-Santacoloma, Germán Castellanos-Domínguez
Automatic Choice of the Number of Nearest Neighbors in Locally Linear Embedding. CIARP (2009)