Andrés Eduardo Castro-Ospina

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Topics

Spectral Clustering

Learning Curves

Top Venues

Publications

Andrés Eduardo Castro-Ospina, Miguel Angel Solarte-Sanchez, Laura Stella Vega-Escobar, Claudia Isaza, Juan David Martínez-Vargas
Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks. Sensors 24 (7) (2024)
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
Automatic Detection of Focal Cortical Dysplasia Using MRI: A Systematic Review. Sensors 23 (16) (2023)
Miguel A. Becerra, Catalina Tobón, Andrés Eduardo Castro-Ospina, Diego Hernán Peluffo-Ordóñez
Information Quality Assessment for Data Fusion Systems. Data 6 (6) (2021)
Robert D. Urda-Benitez, Andrés Eduardo Castro-Ospina, Andrés Orozco-Duque
Characterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution. Commun. Nonlinear Sci. Numer. Simul. 96 (2021)
Henry Jhoán Areiza-Laverde, Andrés Eduardo Castro-Ospina, Liliana Hernández, Gloria M. Díaz
A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling. Sensors 20 (14) (2020)
Carlos Andrés Duarte-Salazar, Andrés Eduardo Castro-Ospina, Miguel A. Becerra, Edilson Delgado-Trejos
Speckle Noise Reduction in Ultrasound Images for Improving the Metrological Evaluation of Biomedical Applications: An Overview. IEEE Access 8 (2020)
Henry Jhoán Areiza-Laverde, Carlos Andrés Duarte-Salazar, Liliana Hernández, Andrés Eduardo Castro-Ospina, Gloria M. Díaz
Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification. CIARP (2019)
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
Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals. ACIIDS (1) (2019)
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
Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors. ACIIDS (1) (2019)
Edwin Londoño-Delgado, Miguel Alberto Becerra, Carolina M. Duque-Mejía, Juan Camilo Zapata, Cristian Mejía-Arboleda, Andrés Eduardo Castro-Ospina, Diego Hernán Peluffo-Ordóñez
Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results. IWBBIO (2) (2019)
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
Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study. ACIIDS (1) (2019)
Laura Stella Vega-Escobar, Andrés Eduardo Castro-Ospina, Leonardo Duque-Muñoz
Individual Finger Movement Recognition Based on sEMG and Classification Techniques. IWAIPR (2018)
Andrés Felipe Giraldo-Forero, Andrés Felipe Cardona-Escobar, Andrés Eduardo Castro-Ospina
Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance. HAIS (2018)
Henry Jhoán Areiza-Laverde, Gloria M. Díaz, Andrés Eduardo Castro-Ospina
Feature Group Selection Using MKL Penalized with \ell _1 ℓ 1 -norm and SVM as Base Learner. WEA (1) (2018)
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
Movement Identification in EMG Signals Using Machine Learning: A Comparative Study. IWAIPR (2018)
Henry Jhoán Areiza-Laverde, Andrés Eduardo Castro-Ospina, Diego Hernán Peluffo-Ordóñez
Voice Pathology Detection Using Artificial Neural Networks and Support Vector Machines Powered by a Multicriteria Optimization Algorithm. WEA (1) (2018)
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
Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors. ISNN (2018)
X. P. Blanco-Valencia, D. Bastidas Torres, C. Piñeros Rodriguez, Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Andrés Eduardo Castro-Ospina
Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages. IWBBIO (1) (2018)
Andrés Eduardo Castro-Ospina, A. M. Correa-Mira, Israel David Herrera-Granda, Diego Hernán Peluffo-Ordóñez, Hermes Alexander Fandiño Toro
Fingertips Segmentation of Thermal Images and Its Potential Use in Hand Thermoregulation Analysis. HAIS (2018)
Fabián M. Lopez-Chamorro, Andrés F. Arciniegas-Mejía, David Esteban Imbajoa-Ruiz, Paul D. Rosero-Montalvo, Pedro García, Andrés Eduardo Castro-Ospina, Antonio Acosta, Diego Hernán Peluffo-Ordóñez
Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms. IWBBIO (1) (2018)
Miguel A. Becerra, Edwin Londoño-Delgado, Sonia M. Pelaez-Becerra, Andrés Eduardo Castro-Ospina, Cristian Mejía-Arboleda, Julián Durango, Diego Hernán Peluffo-Ordóñez
Electroencephalographic Signals and Emotional States for Tactile Pleasantness Classification. IWAIPR (2018)
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
Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms. HAIS (2018)
José Luis Rodríguez-Sotelo, Diego Hernán Peluffo-Ordóñez, D. López-Londoño, Andrés Eduardo Castro-Ospina
Segment Clustering for Holter Recordings Analysis. IWINAC (1) (2017)
Andrés F. Cardona-Escobar, Andrés Felipe Giraldo-Forero, Andrés Eduardo Castro-Ospina, Jorge Alberto Jaramillo-Garzón
Efficient Hyperparameter Optimization in Convolutional Neural Networks by Learning Curves Prediction. 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)
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
Multi-labeler Classification Using Kernel Representations and Mixture of Classifiers. CIARP (2016)
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
On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint. DCAI (2016)
Diego Hernán Peluffo-Ordóñez, Juan C. Alvarado-Pérez, Andrés Eduardo Castro-Ospina
On the Spectral Clustering for Dynamic Data. IWINAC (2) (2015)
Diego Hernán Peluffo-Ordóñez, Andrés Eduardo Castro-Ospina, Juan Carlos Alvarado-Pérez, Edgardo Javier Revelo-Fuelagán
Multiple Kernel Learning for Spectral Dimensionality Reduction. CIARP (2015)
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, Andrés Eduardo Castro-Ospina, Germán Castellanos-Domínguez
Spectral Clustering Using Compactly Supported Graph Building. 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 Eduardo Castro-Ospina, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez
Automatic Graph Building Approach for Spectral Clustering. CIARP (1) (2013)
Diego Hernán Peluffo-Ordóñez, Andrés Eduardo Castro-Ospina, Diego Chavez-Chamorro, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez
Normalized cuts clustering with prior knowledge and a pre-clustering stage. ESANN (2013)
Andrés Eduardo Castro-Ospina, Cristian Castro Hoyos, Diego Hernán Peluffo-Ordóñez, Germán Castellanos-Domínguez
Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering. EMBC (2013)