Feature Selection in Pathology Detection using Hybrid Multidimensional Analysis. - Germán Castellanos-Domínguez; Edilson Delgado-Trejos; Genaro Daza; Luis G. Sanchez; Julio F. Suarez (EMBC, 2006)

Acoustic Speech Analysis for Hypernasality Detection in Children. - Germán Castellanos-Domínguez; Genaro Daza; Luis Sánchez; Omar Castrillon; Julio F. Suarez (EMBC, 2006)

Feature Extraction & Lips Posture Detection Oriented to the Treatment of CLP Children. - Augusto Salazar; Genaro Daza-Santacoloma; Luis Sánchez; Flavio Prieto; Germán Castellanos-Domínguez; Colombia Quintero (EMBC, 2006)

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)

Dynamic Feature Extraction: an Application to Voice Pathology Detection. - Genaro Daza-Santacoloma; Julián D. Arias-Londoño; Juan Ignacio Godino-Llorente; Nicolás Sáenz-Lechón; Víctor Osma-Ruiz; Germán Castellanos-Domínguez (Intell. Autom. Soft Comput., 2009)

Regularization parameter choice in locally linear embedding. - Genaro Daza-Santacoloma; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (Neurocomputing, 2010)

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)

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)

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)

Locally linear embedding based on correntropy measure for visualization and classification. - Genaro Daza-Santacoloma; Germán Castellanos-Domínguez; José C. Príncipe (Neurocomputing, 2012)

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)

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)

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)

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)

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)

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)

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)

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)

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)