Automatic Choice of the Number of Nearest Neighbors in Locally Linear Embedding. - Juliana Valencia-Aguirre; Andrés Marino Álvarez-Meza; Genaro Daza-Santacoloma; Germán Castellanos-Domínguez (CIARP, 2009)

Image Synthesis Based on Manifold Learning. - Andrés Marino Álvarez-Meza; Juliana Valencia-Aguirre; Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CAIP (2), 2011)

Multiple Manifold Learning by Nonlinear Dimensionality Reduction. - Juliana Valencia-Aguirre; Andrés Marino Álvarez-Meza; Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; César Germán Castellanos-Domínguez (CIARP, 2011)

Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection. - 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 (INTERSPEECH, 2011)

Global and local choice of the number of nearest neighbors in locally linear embedding. - Andrés Marino Álvarez-Meza; Juliana Valencia-Aguirre; Genaro Daza-Santacoloma; Germán Castellanos-Domínguez (Pattern Recognit. Lett., 2011)

Feature Selection by Relevance Analysis for Abandoned Object Classification. - Johanna Carvajal González; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (CIARP, 2012)

Human Activity Recognition by Class Label LLE. - Juliana Valencia-Aguirre; Andrés Marino Álvarez-Meza; Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CIARP, 2012)

Biomedical Data Analysis by Supervised Manifold Learning. - Andrés Marino Álvarez-Meza; Genaro Daza-Santacoloma; Germán Castellanos-Domínguez (EMBC, 2012)

Training using short-time features for OSA discrimination. - Lina María Sepúlveda-Cano; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (EMBC, 2012)

Image Segmentation Based on Multi-Kernel Learning and Feature Relevance Analysis. - Santiago Molina-Giraldo; Andrés Marino Álvarez-Meza; Diego Hernán Peluffo-Ordóñez; Germán Castellanos-Domínguez (IBERAMIA, 2012)

Automatic Graph Building Approach for Spectral Clustering. - Andrés Eduardo Castro-Ospina; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (CIARP (1), 2013)

MoCap Data Segmentation and Classification Using Kernel Based Multi-channel Analysis. - Sergio García-Vega; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (CIARP (2), 2013)

Kernel Spectral Clustering for Dynamic Data. - Diego Hernán Peluffo-Ordóñez; Sergio García-Vega; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (CIARP (1), 2013)

Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems. - Andrés Marino Álvarez-Meza; Luisa Fernanda Velásquez-Martínez; Germán Castellanos-Domínguez (EMBC, 2013)

Automatic Singular Spectrum Analysis for Time-Series Decomposition. - Andrés Marino Álvarez-Meza; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (ESANN, 2013)

Video Segmentation Framework by Dynamic Background Modelling. - Santiago Molina-Giraldo; Andrés Marino Álvarez-Meza; Julio C. García-Álvarez; César Germán Castellanos-Domínguez (ICIAP (1), 2013)

Video Segmentation Framework Based on Multi-kernel Representations and Feature Relevance Analysis for Object Classification. - Santiago Molina-Giraldo; Johanna Carvajal González; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (ICPRAM (Selected Papers), 2013)

Video Segmentation based on Multi-kernel Learning and Feature Relevance Analysis for Object Classification. - Santiago Molina-Giraldo; Johanna Carvajal González; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (ICPRAM, 2013)

Motor Imagery Classification for BCI Using Common Spatial Patterns and Feature Relevance Analysis. - Luisa Fernanda Velásquez-Martínez; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (IWINAC (2), 2013)

Video analysis based on Multi-Kernel Representation with automatic parameter choice. - Andrés Marino Álvarez-Meza; Juliana Valencia-Aguirre; Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (Neurocomputing, 2013)

Spectral Clustering Using Compactly Supported Graph Building. - Andrés Marino Álvarez-Meza; Andrés Eduardo Castro-Ospina; Germán Castellanos-Domínguez (CIARP, 2014)

Unsupervised Kernel Function Building Using Maximization of Information Potential Variability. - Andrés Marino Álvarez-Meza; David Cárdenas-Peña; Germán Castellanos-Domínguez (CIARP, 2014)

Kernel-Based Image Representation for Brain MRI Discrimination. - David Cárdenas-Peña; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (CIARP, 2014)

Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings. - Sergio García-Vega; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (CIARP, 2014)

Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering. - Sergio García-Vega; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (CIARP, 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 (EMBC, 2014)

Functional relevant multichannel kernel adaptive filter for human activity analysis. - Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez; José Carlos Príncipe (ICASSP, 2014)

Correntropy-Based Adaptive Learning to Support Video Surveillance Systems. - Andrés Marino Álvarez-Meza; Santiago Molina-Giraldo; Germán Castellanos-Domínguez (ICPR, 2014)

A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering. - David Cárdenas-Peña; Mauricio Orbes-Arteaga; Andrés Eduardo Castro-Ospina; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (ICPR, 2014)

Recursive Separation of Stationary Components by Subspace Projection and Stochastic Constraints. - Juan David Martínez-Vargas; Cristian Castro Hoyos; Andrés Marino Álvarez-Meza; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (ICPR, 2014)

Kernel-Based Feature Relevance Analysis for ECG Beat Classification. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Natalia Gaviria Gómez; Germán Castellanos-Domínguez (IbPRIA, 2015)

Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks. - Sergio García-Vega; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (IbPRIA, 2015)

Single-Channel Separation Between Stationary and Non-stationary Signals Using Relevant Information. - Juan David Martínez-Vargas; Cristian Castro Hoyos; Jairo Jose Espinosa-Oviedo; A. M. Álvarez-Mesa; Germán Castellanos-Domínguez (IbPRIA, 2015)

Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities. - Luisa Fernanda Velásquez-Martínez; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (IWINAC (1), 2015)

Time-series discrimination using feature relevance analysis in motor imagery classification. - Andrés Marino Álvarez-Meza; Luisa Fernanda Velásquez-Martínez; Germán Castellanos-Domínguez (Neurocomputing, 2015)

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. - 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; et al. (NeuroImage, 2015)

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 (CIARP, 2016)

GMM Background Modeling Using Divergence-Based Weight Updating. - Juan D. Pulgarin-Giraldo; Andrés Marino Álvarez-Meza; David Insuasti-Ceballos; Thierry Bouwmans; Germán Castellanos-Domínguez (CIARP, 2016)

A Similarity Indicator for Differentiating Kinematic Performance Between Qualified Tennis Players. - Juan D. Pulgarin-Giraldo; Andrés Marino Álvarez-Meza; L. G. Melo-Betancourt; S. Ramos-Bermudez; Germán Castellanos-Domínguez (CIARP, 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 (CIARP, 2016)

Background modeling using Object-based Selective Updating and Correntropy adaptation. - Andrés Marino Álvarez-Meza; Santiago Molina-Giraldo; Germán Castellanos-Domínguez (Image Vis. Comput., 2016)

Automatic graph pruning based on kernel alignment for spectral clustering. - Andrés Marino Álvarez-Meza; Andrés Eduardo Castro-Ospina; Germán Castellanos-Domínguez (Pattern Recognit. Lett., 2016)

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 (CIARP, 2017)

Sparse Hilbert Embedding-Based Statistical Inference of Stochastic Ecological Systems. - Wilson González-Vanegas; Andrés Marino Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez (CIARP, 2017)

Automatic Peripheral Nerve Segmentation in Presence of Multiple Annotators. - Julián Gil González; Andrés M. Álvarez; Andrés F. Valencia; Álvaro Á. Orozco (CIARP, 2017)

Clustering-Based Undersampling to Support Automatic Detection of Focal Cortical Dysplasias. - Keider Hoyos-Osorio; Andrés M. Álvarez; Álvaro Á. Orozco; Jorge I. Ríos; Genaro Daza-Santacoloma (CIARP, 2017)

3D Probabilistic Morphable Models for Brain Tumor Segmentation. - David A. Jimenez; Hernán F. García; Andrés M. Álvarez; Álvaro Á. Orozco (CIARP, 2017)

Emotion Assessment by Variability-Based Ranking of Coherence Features from EEG. - Iván De La Pava; Andrés Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez (CIARP, 2017)

Volume Rendering by Stochastic Neighbor Embedding-Based 2D Transfer Function Building. - Walter Serna-Serna; Andrés Marino Álvarez-Meza; Álvaro-Ángel Orozco-Gutiérrez (CIARP, 2017)

Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap Data. - Juan D. Pulgarin-Giraldo; A. A. Ruales-Torres; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (IWINAC (2), 2017)

Emotion Assessment Based on Functional Connectivity Variability and Relevance Analysis. - Cristian A. Torres-Valencia; A. Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez (IWINAC (1), 2017)

Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings. - Luisa Fernanda Velásquez-Martínez; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (IWINAC (1), 2017)

Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach. - Roger Gomez Nieto; Andrés Marino Álvarez-Meza; Julián David Echeverry Correa; Álvaro Ángel Orozco-Guitiérrez (CoRR, 2017)

Kernel-based dimensionality reduction using Renyi's α-entropy measures of similarity. - Andrés Marino Álvarez-Meza; John Aldo Lee; Michel Verleysen; Germán Castellanos-Domínguez (Neurocomputing, 2017)

Automatic Identification of DBS Parameters from the Volume of Tissue Activated (VTA) Using Support Vector Machines. - Robinson Aguilar; Hernán Darío Vargas Cardona; Andrés M. Álvarez; Álvaro Á. Orozco; Piedad Navarro (CIARP, 2018)

A DTW-Based Representation to Support Static Sign Language Recognition from Binary Images. - J. S. Blandon; Andrés Marino Álvarez-Meza; Álvaro Orozco (CIARP, 2018)

An Enhanced Sequential Search Feature Selection Based on mRMR to Support FCD Localization. - J. Castañeda-Gonzalez; A. Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez (CIARP, 2018)

Short Time EEG Connectivity Features to Support Interpretability of MI Discrimination. - Viviana Gómez-Orozco; A. Álvarez-Meza; Paula Herrera; Germán Castellanos-Domínguez; Álvaro Orozco (CIARP, 2018)

An Automatic Approximate Bayesian Computation Approach Using Metric Learning. - Wilson González-Vanegas; A. Álvarez-Meza; Álvaro-Ángel Orozco-Gutiérrez (CIARP, 2018)

Gaussian Processes Regression with Multiple Annotators: When the Annotator Performance Is Not Homogeneous. - Julián Gil González; Andrés Marino Álvarez-Meza; Álvaro Ángel Orozco (CIARP, 2018)

A Data Representation Approach to Support Imbalanced Data Classification Based on TWSVM. - Cristian Jimenez 001; Andrés Marino Álvarez-Meza; Álvaro Orozco (CIARP, 2018)

Gender Effects on an EEG-Based Emotion Level Classification System. - Iván De La Pava; A. Álvarez-Meza; Paula Herrera; Germán Castellanos-Domínguez; Álvaro Orozco (CIARP, 2018)

Analysis and Classification of MoCap Data by Hilbert Space Embedding-Based Distance and Multikernel Learning. - Juan Diego Pulgarin-Giraldo; Andrés Marino Álvarez-Meza; Steven Van Vaerenbergh; Ignacio Santamaría; Germán Castellanos-Domínguez (CIARP, 2018)

An Automatic Brain Tumor Segmentation Approach Based on Affinity Clustering. - C. Ramirez; Viviana Gómez-Orozco; Iván De La Pava; Andrés Marino Álvarez-Meza; Julián David Echeverry; Jorge I. Ríos; Álvaro Orozco (CIARP, 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 (CIARP, 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 (ICIAR, 2018)

A Kernelized Morphable Model for 3D Brain Tumor Analysis. - David A. Jimenez; Hernán F. García; Andrés M. Álvarez; Álvaro Ángel Orozco; Germán Holguín (ICIAR, 2018)

Emotion Assessment Using Adaptive Learning-Based Relevance Analysis. - Cristian A. Torres-Valencia; Andrés Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez (ICIAR, 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 (ISVC, 2018)

Video-Based Human Action Recognition Using Kernel Relevance Analysis. - Jorge Fernández-Ramírez; Andrés Marino Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez (ISVC, 2018)

Multilayer-Based HMM Training to Support Bearing Fault Diagnosis. - Jorge Fernández 005; Andrés M. Álvarez; Héctor F. Quintero; Julián David Echeverry; Álvaro Orozco (IWAIPR, 2018)

Student Desertion Prediction Using Kernel Relevance Analysis. - Jorge Fernández 005; Angélica Rojas; Genaro Daza-Santacoloma; Diana Gómez; Andrés M. Álvarez; Álvaro Orozco (IWAIPR, 2018)

A Fast Reliability Analysis Approach for Colombian Natural Gas Subnetworks. - Wilson González-Vanegas; Andrés Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez (WEA (2), 2018)

Supervised kernel approach for automated learning using General Stochastic Networks. - David Cárdenas-Peña; Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Eng. Appl. Artif. Intell., 2018)

Learning from multiple annotators using kernel alignment. - Julián Gil González; Andrés Marino Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez (Pattern Recognit. Lett., 2018)

Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images. - Daniel Guillermo García-Murillo; Andrés M. Álvarez; David Cárdenas-Peña; William Hincapie-Restrepo; Germán Castellanos-Domínguez (CIARP, 2019)

Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition. - Jorge Fernández-Ramírez; Andrés Marino Álvarez-Meza; Álvaro-Ángel Orozco-Gutiérrez; Julián David Echeverry Correa (ISVC (2), 2019)

AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning. - Wilson González-Vanegas; Andrés Marino Álvarez-Meza; J. A. Hernández-Muriel; Álvaro-Ángel Orozco-Gutiérrez (Entropy, 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)

CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Carlos Daniel Acosta-Medina; Germán Castaño Duque; Germán Castellanos-Domínguez (Brain Informatics, 2020)

Enhanced automatic twin support vector machine for imbalanced data classification. - Cristian Jimenez Castaño; Andrés Marino Álvarez-Meza; Álvaro-Ángel Orozco-Gutierrez (Pattern Recognit., 2020)

Video-based social behavior recognition based on kernel relevance analysis. - Jorge Fernández-Ramírez; A. Álvarez-Meza; E. M. Pereira; Álvaro Ángel Orozco-Guitiérrez; Germán Castellanos-Domínguez (Vis. Comput., 2020)

Spatial interpretability of time-frequency relevance optimized in motor imagery discrimination using Deep&Wide networks. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Biomed. Signal Process. Control., 2021)

Learning from multiple inconsistent and dependent annotators to support classification tasks. - Julián Gil González; Álvaro-Ángel Orozco-Gutiérrez; Andrés Álvarez-Meza (Neurocomputing, 2021)

Relevant information undersampling to support imbalanced data classification. - J. Hoyos-Osorio; A. Álvarez-Meza; Genaro Daza-Santacoloma; Álvaro-Ángel Orozco-Gutierrez; Germán Castellanos-Domínguez (Neurocomputing, 2021)

An enhanced and interpretable feature representation approach to support shape classification from binary images. - J. S. Blandon; Álvaro-Ángel Orozco-Gutierrez; Andrés Marino Álvarez-Meza (Pattern Recognit. Lett., 2021)

Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators. - Julian Caicedo-Acosta; German A. Castaño; Carlos Daniel Acosta-Medina; Andrés Álvarez-Meza; Germán Castellanos-Domínguez (Sensors, 2021)

Random Fourier Features-Based Deep Learning Improvement with Class Activation Interpretability for Nerve Structure Segmentation. - Cristian Alfonso Jimenez Castaño; Andrés Marino Álvarez-Meza; Oscar David Aguirre-Ospina; David Augusto Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (Sensors, 2021)

Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires. - Diego Fabian Collazos-Huertas; Luisa Fernanda Velásquez-Martínez; Hernan Dario Perez-Nastar; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Sensors, 2021)

Single-Trial Kernel-Based Functional Connectivity for Enhanced Feature Extraction in Motor-Related Tasks. - Daniel Guillermo García-Murillo; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Sensors, 2021)

Tdnn-Based Engine In-Cylinder Pressure Estimation from Shaft Velocity Spectral Representation. - Andrés F. Valencia-Duque; David Cárdenas-Peña; Andrés Marino Álvarez-Meza; Álvaro-Ángel Orozco-Gutierrez; Héctor Fabio Quintero Riaza (Sensors, 2021)

An Enhanced Joint Hilbert Embedding-Based Metric to Support Mocap Data Classification with Preserved Interpretability. - Cristian Kaori Valencia-Marin; Juan Diego Pulgarin-Giraldo; Luisa Fernanda Velásquez-Martínez; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Sensors, 2021)

Deep Learning Semantic Segmentation of Feet Using Infrared Thermal Images. - Rafael Mejia-Zuluaga; Juan Carlos Aguirre-Arango; Diego Collazos-Huertas; Jessica Daza-Castillo; Néstor Valencia-Marulanda; Mauricio Calderón-Marulanda; Oscar David Aguirre-Ospina; Andrés Álvarez-Meza; Germán Castellanos-Domínguez (IBERAMIA, 2022)

Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills. - Mateo Tobón-Henao; Andrés Álvarez-Meza; Germán Castellanos-Domínguez (Sensors, 2022)

Semi-supervised t-SNE with multi-scale neighborhood preservation. - Walter Serna-Serna; Cyril de Bodt; Andrés Marino Álvarez-Meza; John A. Lee 001; Michel Verleysen; Álvaro-Ángel Orozco-Gutiérrez (Neurocomputing, 2023)

Affective Neural Responses Sonified through Labeled Correlation Alignment. - Andrés Marino Álvarez-Meza; Héctor Fabio Torres Cardona; Mauricio Orozco-Alzate; Hernan Dario Perez-Nastar; Germán Castellanos-Domínguez (Sensors, 2023)

Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity. - Diego Fabian Collazos-Huertas; Andrés Marino Álvarez-Meza; David Augusto Cárdenas-Peña; Germán Albeiro Castaño Duque; César Germán Castellanos-Domínguez (Sensors, 2023)

A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. - Yeison Nolberto Cardona-Álvarez; Andrés Marino Álvarez-Meza; David Augusto Cárdenas-Peña; Germán Albeiro Castaño Duque; Germán Castellanos-Domínguez (Sensors, 2023)

Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification. - Jenniffer Carolina Triana-Martinez; Julián Gil González; Jose Armando Fernandez-Gallego; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (Sensors, 2023)

Feet Segmentation for Regional Analgesia Monitoring Using Convolutional RFF and Layer-Wise Weighted CAM Interpretability. - Juan Carlos Aguirre-Arango; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Comput., 2023)

Kernel-Based Regularized EEGNet Using Centered Alignment and Gaussian Connectivity for Motor Imagery Discrimination. - Mateo Tobón-Henao; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (Comput., 2023)

Correlated Chained Gaussian Processes for Datasets With Multiple Annotators. - Julián Gil González; Juan-José Giraldo; Andrés Marino Álvarez-Meza; Álvaro-Ángel Orozco-Gutiérrez; Mauricio A. Álvarez (IEEE Trans. Neural Networks Learn. Syst., 2023)

Kreĭn twin support vector machines for imbalanced data classification. - Cristian Jimenez Castaño; A. Álvarez-Meza; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutiérrez; J. Guerrero-Erazo (Pattern Recognit. Lett., 2024)

A Regularized Physics-Informed Neural Network to Support Data-Driven Nonlinear Constrained Optimization. - Diego Armando Perez-Rosero; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (Comput., 2024)

Crop Water Status Analysis from Complex Agricultural Data Using UMAP-Based Local Biplot. - Jenniffer Carolina Triana-Martinez; Andrés Marino Álvarez-Meza; Julián Gil González; Tom De Swaef; Jose Armando Fernandez-Gallego (Remote. Sens., 2024)

Cross-Dataset Data Augmentation Using UMAP for Deep Learning-Based Wind Speed Prediction. - Eder Arley León-Gómez; Andrés Marino Álvarez-Meza; Germán Castellanos-Domínguez (Comput., 2025)