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 (EMBC, 2006)

Identification of Spike Sources using Proximity Analysis through Hidden Markov Models. - Álvaro Ángel Orozco; Mauricio A. Álvarez; Enrique Guijarro-Estellés; Germán Castellanos-Domínguez (EMBC, 2006)

Microelectrode Signals Segmentation Using Stationary Wavelet Transform. - Cristian Guarnizo; Álvaro Orozco; Germán Castellanos-Domínguez (BMEI (2), 2008)

Nonlinear Dynamics Techniques for the Detection of the Brain Areas Using MER Signals. - Andrea Rodríguez-Sánchez; Edilson Delgado-Trejos; Álvaro Ángel Orozco-Guitiérrez; Germán Castellanos-Domínguez; Enrique Guijarro-Estellés (BMEI (2), 2008)

Reducción de espacios de entrenamiento de HMMS empleando DPCA. - Johanna Carvajal González; Milton Orlando Sarria-Paja; Álvaro Ángel Orozco-Guitiérrez; Germán Castellanos-Domínguez (Rev. Avances en Sistemas Informática, 2008)

Feature selection using an ensemble of optimal wavelet packet and learning machine: Application to MER signals. - Ruben-Dario Pinzon-Morales; Álvaro Ángel Orozco-Guitiérrez; César Germán Castellanos-Domínguez (CSNDSP, 2010)

Model-based Feature Extraction for Assessment of Driver-related Fatigue. - Damián Alvarez; Álvaro Orozco; Augusto Salazar (ICINCO (1), 2010)

Driving Fatigue Detection Using Active Shape Models. - Hernán García; Augusto Salazar; Damián Alvarez; Álvaro Orozco (ISVC (3), 2010)

Testing for nonlinearity in non-stationary physiological time series. - Diego Luis Guarín; Edilson Delgado-Trejos; Álvaro Orozco (EMBC, 2011)

EEG seizure identification by using optimized wavelet decomposition. - Ruben-Dario Pinzon-Morales; Álvaro Ángel Orozco-Guitiérrez; Germán Castellanos-Domínguez (EMBC, 2011)

Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation. - Hernán Darío Vargas Cardona; Álvaro Ángel Orozco; Mauricio A. Álvarez (EMBC, 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 (EMBC, 2012)

Complex networks: Application to pathology detection in voice signals. - Juan Sebastian Hurtado Jaramillo; Diego Luis Guarín; Álvaro Orozco (EMBC, 2012)

Statistical Models for Emotion Recognition using Facial Expression Analisys. - Hernán García; Augusto Salazar; Álvaro Orozco (ICINCO (1), 2012)

Nonlinear statistics for bearing diagnosis. - Diego Luis Guarín; Álvaro Ángel Orozco; Edilson Delgado-Trejos (ISSPA, 2012)

Pseudo-periodic surrogate data method on voice signals. - Juan Sebastian Hurtado Jaramillo; Diego Luis Guarín; Álvaro Ángel Orozco (ISSPA, 2012)

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 (EMBC, 2013)

Dynamic physiological signal analysis based on Fisher kernels for emotion recognition. - Hernán F. García; Álvaro Á. Orozco; Mauricio A. Álvarez (EMBC, 2013)

Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization. - Cristian Guarnizo; Álvaro Á. Orozco; Mauricio A. Álvarez (EMBC, 2013)

Feature selection for multimodal emotion recognition in the arousal-valence space. - Cristian A. Torres-Valencia; Álvaro Á. Orozco; Mauricio A. Álvarez (EMBC, 2013)

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 (EMBC, 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 (EMBC, 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 (EMBC, 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 (EMBC, 2014)

Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis. - Hernán Darío Vargas Cardona; Álvaro Orozco; Mauricio A. Álvarez (ISVC (2), 2014)

Gaussian Process Dynamical Models for Emotion Recognition. - Hernán F. García; Mauricio A. Álvarez; Álvaro Orozco (ISVC (2), 2014)

Bayesian Shape Models with Shape Priors for MRI Brain Segmentation. - Hernán F. García; Mauricio A. Álvarez; Álvaro Orozco (ISVC (2), 2014)

Discriminative Training for Convolved Multiple-Output Gaussian Processes. - Sebastián Gómez-González; Mauricio A. Álvarez; Hernán F. García; Jorge I. Ríos; Álvaro Á. Orozco (CIARP, 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 (CIARP, 2015)

Indian Buffet Process for Model Selection in Latent Force Models. - Cristian Guarnizo; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 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 (CIARP, 2015)

Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering. - Juan J. Giraldo; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 2015)

Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 2015)

Automatic assessment of voice quality in the context of multiple annotations. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 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 (IbPRIA, 2015)

Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (IbPRIA, 2015)

Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity. - Andrés F. López-Lopera; Mauricio A. Álvarez; Álvaro Á. Orozco (IbPRIA, 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 (IbPRIA, 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 (IbPRIA, 2015)

Information-Based Cost Function for a Bayesian MRI Segmentation Framework. - David Cárdenas-Peña; Álvaro Á. Orozco; Germán Castellanos-Domínguez (ICIAP (1), 2015)

Convolved Multi-output Gaussian Processes for Semi-Supervised Learning. - Hernán Darío Vargas Cardona; Mauricio A. Álvarez; Álvaro Á. Orozco (ICIAP (1), 2015)

Global and Local Gaussian Process for Multioutput and Treed Data. - Jhouben J. Cuesta; Mauricio A. Álvarez; Álvaro Á. Orozco (ICIAP (1), 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 (ICIAP (1), 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 (ICIAP (1), 2015)

Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields. - Hernán Darío Vargas Cardona; Mauricio A. Álvarez; Álvaro Á. Orozco (ISVC (2), 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 (ISVC (2), 2015)

Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models. - Hernán F. García; Mauricio A. Álvarez; Álvaro Orozco (ISVC (1), 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 (ISVC (1), 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 (ISVC (2), 2015)

Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models. - Diego Agudelo-España; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 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 (CIARP, 2016)

Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures. - Hernán F. García; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 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 (CIARP, 2016)

Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 2016)

Sparse Linear Models Applied to Power Quality Disturbance Classification. - Andrés F. López-Lopera; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 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 (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)

Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields. - Hernán Darío Vargas Cardona; Álvaro Á. Orozco; Mauricio A. Álvarez (EMBC, 2016)

Gaussian process dynamical models for multimodal affect recognition. - Hernán F. García; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 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 (EMBC, 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)

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)

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

Dynamic facial landmarking selection for emotion recognition using Gaussian processes. - Hernán F. García; Mauricio A. Álvarez; Álvaro Á. Orozco (J. Multimodal User Interfaces, 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)

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)

Enhanced Graph Cuts for Brain Tumor Segmentation Using Bayesian Optimization. - Mauricio Castaño; Hernán F. García; Gloria L. Porras-Hurtado; Álvaro Á. Orozco; Jorge I. Marin-Hurtado (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)

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)

Emotion Recognition with Ensemble Using mRMR-Based Feature Selection. - A. Valencia-Alzate; J. Castañeda-Gonzalez; J. Hoyos-Osorio; Genaro Daza-Santacoloma; Álvaro Ángel Orozco-Guitiérrez (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)

Nerve Structure Segmentation from Ultrasound Images Using Random Under-Sampling and an SVM Classifier. - Cristian Jimenez 001; D. Diaz; D. Salazar; Andres Marino Alvarez; Álvaro-Ángel Orozco-Gutiérrez; Óscar Alberto Henao (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)

Imbalanced Data Classification Using a Relevant Information-Based Sampling Approach. - Keider Hoyos; Jorge Fernández 005; Beatriz Martinez; Óscar Alberto Henao; Álvaro Orozco; Genaro Daza (IWAIPR, 2018)

Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures. - Hernán F. García; Álvaro Ángel Orozco; Mauricio A. Álvarez (MLSP, 2018)

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

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

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)

HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves. - J. A. Hernández-Muriel; J. C. Mejía-Hernández; Julián D. Echeverry-Correa; Álvaro Á. Orozco; David Cárdenas-Peña (IWINAC (1), 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)

CSP-based discriminative capacity index from EEG supporting ADHD diagnosis. - S. Galindo-Noreña; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (EUSIPCO, 2020)

Diagnosis of attention deficit and hyperactivity disorder (ADHD) using Hidden Markov Models. - Maria Camila Maya-Piedrahita; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (EUSIPCO, 2020)

Classification of Categorical Data Based on the Chi-Square Dissimilarity and t-SNE. - Luis Ariosto Serna Cardona; Hernán Darío Vargas Cardona; Piedad Navarro González; David Augusto Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (Comput., 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)

EEG representation approach based on Kernel Canonical Correlation Analysis highlighting discriminative patterns for BCI applications. - Viviana Gómez-Orozco; Cristian Blanco Martínez; David Augusto Cárdenas-Peña; Paula Marcela Herrera-Gómez; Álvaro Ángel Orozco-Guitiérrez (EMBC, 2021)

Peripheral Nerve Segmentation in Ultrasound Images Using Conditioned U-Net. - Harold Mauricio Díaz-Vargas; Cristian Alfonso Jimenez Castaño; David Augusto Cárdenas-Peña; Oscar David Aguirre-Ospina; Álvaro-Ángel Orozco-Gutierrez (IWAIPR, 2021)

Interpretable Diagnosis of ADHD Based on Wavelet Features and Logistic Regression. - Julián D. Pastrana-Cortes; Maria Camila Maya-Piedrahita; Paula Marcela Herrera-Gómez; David Cárdenas-Peña; Álvaro-Ángel Orozco-Gutierrez (IWAIPR, 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)

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)

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)

Brain Shape Correspondence Analysis Using Functional Maps. - Jonnatan Arias-Garcia; Hernán F. García; Álvaro Á. Orozco; Gloria L. Porras-Hurtado; David Cárdenas-Peña; Jorge Iván Ríos Patiño (ISVC (2), 2022)

Brain Shape Correspondence Analysis Using Variational Mixtures for Gaussian Process Latent Variable Models. - Juan P. V. Minoli; Álvaro Ángel Orozco; Gloria L. Porras-Hurtado; Hernán F. García (IWINAC (1), 2022)

Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models. - Maria Camila Maya-Piedrahita; Paula Marcela Herrera-Gómez; Laura Berrío-Mesa; David Augusto Cárdenas-Peña; Álvaro-Ángel Orozco-Gutiérrez (Int. J. Neural Syst., 2022)

Bayesian Iterative Closest Point for Shape Analysis of Brain Structures. - Mauricio Castaño; Hernán F. García; Álvaro Á. Orozco; Gloria L. Porras-Hurtado; David Augusto Cárdenas-Peña (ICPRAM, 2023)

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)

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)

3D probe localization from 2D ultrasound images using an RFF-enhanced deep neural network. - W. Cárdenas-Bedoya; S. Gil-González; David Cárdenas-Peña; Julián Gil González; Álvaro-Ángel Orozco-Gutiérrez; Oscar David Aguirre-Ospina (EMBC, 2024)

Efficient Lung Segmentation from Chest Radiographs using Transfer Learning and Lightweight Deep Architecture. - J. C. Rendón-Atehortúa; David Cárdenas-Peña; Genaro Daza-Santacoloma; Álvaro-Ángel Orozco-Gutiérrez; O. Jaramillo-Robledo (EMBC, 2024)

Biogeographic Ancestry Analysis of Microtia Patients in Colombia using Nonlinear Probabilistic Clustering. - Javier A. Sierra-Pineda; Hernán F. García; Gloria Liliana Porras-Hurtado; Álvaro-Ángel Orozco-Gutiérrez; David Augusto Cárdenas-Peña; Daniela V. Luquetti (EMBC, 2024)

Breast Cancer Tissue Classification from Multiple Annotators using Chained Deep Learning Approaches. - Andrés Felipe Valencia-Duque; David Augusto Cárdenas-Peña; Julián Gil González; Álvaro-Ángel Orozco-Gutiérrez; Genaro Daza-Santacoloma (EMBC, 2024)

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)