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

Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering. - Andrés Eduardo Castro-Ospina; Cristian Castro Hoyos; Diego Hernán Peluffo-Ordóñez; Germán Castellanos-Domínguez (EMBC, 2013)

Normalized cuts clustering with prior knowledge and a pre-clustering stage. - Diego Hernán Peluffo-Ordóñez; Andrés Eduardo Castro-Ospina; Diego Chavez-Chamorro; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (ESANN, 2013)

Spectral Clustering Using Compactly Supported Graph Building. - Andrés Marino Álvarez-Meza; Andrés Eduardo Castro-Ospina; 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)

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)

Multiple Kernel Learning for Spectral Dimensionality Reduction. - Diego Hernán Peluffo-Ordóñez; Andrés Eduardo Castro-Ospina; Juan Carlos Alvarado-Pérez; Edgardo Javier Revelo-Fuelagán (CIARP, 2015)

On the Spectral Clustering for Dynamic Data. - Diego Hernán Peluffo-Ordóñez; Juan C. Alvarado-Pérez; Andrés Eduardo Castro-Ospina (IWINAC (2), 2015)

Multi-labeler Classification Using Kernel Representations and Mixture of Classifiers. - David Esteban Imbajoa-Ruiz; I. D. Gustin; M. Bolaños-Ledezma; Andrés F. Arciniegas-Mejía; F. A. Guasmayan-Guasmayan; M. J. Bravo-Montenegro; Andrés Eduardo Castro-Ospina; Diego Hernán Peluffo-Ordóñez (CIARP, 2016)

On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint. - Diego Hernán Peluffo-Ordóñez; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; X. P. Blanco-Valencia; Juan C. Alvarado-Pérez; Roberto Therón; Andres J. Anaya-Isaza (DCAI, 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)

Efficient Hyperparameter Optimization in Convolutional Neural Networks by Learning Curves Prediction. - Andrés F. Cardona-Escobar; Andrés Felipe Giraldo-Forero; Andrés Eduardo Castro-Ospina; Jorge Alberto Jaramillo-Garzón (CIARP, 2017)

Segment Clustering for Holter Recordings Analysis. - José Luis Rodríguez-Sotelo; Diego Hernán Peluffo-Ordóñez; D. López-Londoño; Andrés Eduardo Castro-Ospina (IWINAC (1), 2017)

Fingertips Segmentation of Thermal Images and Its Potential Use in Hand Thermoregulation Analysis. - Andrés Eduardo Castro-Ospina; A. M. Correa-Mira; Israel David Herrera-Granda; Diego Hernán Peluffo-Ordóñez; Hermes Alexander Fandiño Toro (HAIS, 2018)

Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance. - Andrés Felipe Giraldo-Forero; Andrés Felipe Cardona-Escobar; Andrés Eduardo Castro-Ospina (HAIS, 2018)

Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms. - Israel David Herrera-Granda; Leandro Leonardo Lorente-Leyva; Diego Hernán Peluffo-Ordóñez; Robert M. Valencia-Chapi; Yakcleem Montero-Santos; Jorge L. Chicaiza-Vaca; Andrés Eduardo Castro-Ospina (HAIS, 2018)

Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors. - Leandro Leonardo Lorente-Leyva; Israel David Herrera-Granda; Paul D. Rosero-Montalvo; Karina L. Ponce-Guevara; Andrés Eduardo Castro-Ospina; Miguel A. Becerra; Diego Hernán Peluffo-Ordóñez; José Luis Rodríguez-Sotelo (ISNN, 2018)

Electroencephalographic Signals and Emotional States for Tactile Pleasantness Classification. - Miguel A. Becerra; Edwin Londoño-Delgado; Sonia M. Pelaez-Becerra; Andrés Eduardo Castro-Ospina; Cristian Mejía-Arboleda; Julián Durango; Diego Hernán Peluffo-Ordóñez (IWAIPR, 2018)

Movement Identification in EMG Signals Using Machine Learning: A Comparative Study. - Laura Lasso-Arciniegas; Andres Viveros-Melo; Jose Alejandro Salazar-Castro; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; Edgardo Javier Revelo-Fuelagán; Diego Hernán Peluffo-Ordóñez (IWAIPR, 2018)

Individual Finger Movement Recognition Based on sEMG and Classification Techniques. - Laura Stella Vega-Escobar; Andrés Eduardo Castro-Ospina; Leonardo Duque-Muñoz (IWAIPR, 2018)

Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages. - X. P. Blanco-Valencia; D. Bastidas Torres; C. Piñeros Rodriguez; Diego Hernán Peluffo-Ordóñez; Miguel A. Becerra; Andrés Eduardo Castro-Ospina (IWBBIO (1), 2018)

Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms. - Fabián M. Lopez-Chamorro; Andrés F. Arciniegas-Mejía; David Esteban Imbajoa-Ruiz; Paul D. Rosero-Montalvo; Pedro García 002; Andrés Eduardo Castro-Ospina; Antonio Acosta; Diego Hernán Peluffo-Ordóñez (IWBBIO (1), 2018)

Voice Pathology Detection Using Artificial Neural Networks and Support Vector Machines Powered by a Multicriteria Optimization Algorithm. - Henry Jhoán Areiza-Laverde; Andrés Eduardo Castro-Ospina; Diego Hernán Peluffo-Ordóñez (WEA (1), 2018)

Feature Group Selection Using MKL Penalized with ell _1 ℓ 1 -norm and SVM as Base Learner. - Henry Jhoán Areiza-Laverde; Gloria M. Díaz; Andrés Eduardo Castro-Ospina (WEA (1), 2018)

Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study. - C. Duque-Mejía; Miguel A. Becerra; C. Zapata-Hernández; Cristian Mejía-Arboleda; Andrés Eduardo Castro-Ospina; Edilson Delgado-Trejos; Diego Hernán Peluffo-Ordóñez; Paul D. Rosero-Montalvo; Javier Revelo-Fuelagán (ACIIDS (1), 2019)

Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals. - J. F. Gómez-Lara; O. A. Ordóñez-Bolaños; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; Cristian Mejía-Arboleda; C. Duque-Mejía; J. Rodriguez; Javier Revelo-Fuelagán; Diego Hernán Peluffo-Ordóñez (ACIIDS (1), 2019)

Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors. - D. Bastidas Torres; C. Piñeros Rodriguez; Diego Hernán Peluffo-Ordóñez; X. P. Blanco-Valencia; Javier Revelo-Fuelagán; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; Leandro Leonardo Lorente-Leyva (ACIIDS (1), 2019)

Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification. - Henry Jhoán Areiza-Laverde; Carlos Andrés Duarte-Salazar; Liliana Hernández; Andrés Eduardo Castro-Ospina; Gloria M. Díaz (CIARP, 2019)

Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results. - Edwin Londoño-Delgado; Miguel Alberto Becerra; Carolina M. Duque-Mejía; Juan Camilo Zapata; Cristian Mejía-Arboleda; Andrés Eduardo Castro-Ospina; Diego Hernán Peluffo-Ordóñez (IWBBIO (2), 2019)

Speckle Noise Reduction in Ultrasound Images for Improving the Metrological Evaluation of Biomedical Applications: An Overview. - Carlos Andrés Duarte-Salazar; Andrés Eduardo Castro-Ospina; Miguel A. Becerra; Edilson Delgado-Trejos (IEEE Access, 2020)

A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling. - Henry Jhoán Areiza-Laverde; Andrés Eduardo Castro-Ospina; Liliana Hernández; Gloria M. Díaz (Sensors, 2020)

Characterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution. - Robert D. Urda-Benitez; Andrés Eduardo Castro-Ospina; Andrés Orozco-Duque (Commun. Nonlinear Sci. Numer. Simul., 2021)

Information Quality Assessment for Data Fusion Systems. - Miguel A. Becerra; Catalina Tobón; Andrés Eduardo Castro-Ospina; Diego Hernán Peluffo-Ordóñez (Data, 2021)

Automatic Detection of Focal Cortical Dysplasia Using MRI: A Systematic Review. - David Jiménez-Murillo; Andrés Eduardo Castro-Ospina; Leonardo Duque-Muñoz; Juan David Martínez-Vargas; Jazmín Ximena Suárez-Revelo; Jorge Mario Vélez-Arango; María de la Iglesia-Vayá (Sensors, 2023)

Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks. - Andrés Eduardo Castro-Ospina; Miguel Angel Solarte-Sanchez; Laura Stella Vega-Escobar; Claudia Isaza; Juan David Martínez-Vargas (Sensors, 2024)

Leveraging time-based acoustic patterns for ecosystem analysis. - Andrés Eduardo Castro-Ospina; Paula A. Rodríguez Marín; José David López; Juan David Martínez-Vargas (Neural Comput. Appl., 2024)