Kernel-based framework for spectral dimensionality reduction and clustering formulation: A theoretical study X Blanco-Valencia, MA Becerra, AE Castro-Ospina, M Ortega-Adarme, ... | 24 | 2017 |
Feature extraction schemes for BCI systems L Vega-Escobar, AE Castro-Ospina, L Duque-Muñoz Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium …, 2015 | 17 | 2015 |
Multiple kernel learning for spectral dimensionality reduction DH Peluffo-Ordóñez, AE Castro-Ospina, JC Alvarado-Pérez, ... Iberoamerican Congress on Pattern Recognition, 626-634, 2015 | 9 | 2015 |
Odor Pleasantness Classification from Electroencephalographic Signals and Emotional States L Serna-Guarın, AE Castro-Ospina, D Marin-Castrillón, ... Advances in Computing 885, 128, 2018 | 8* | 2018 |
Voice Pathology Detection Using Artificial Neural Networks and Support Vector Machines Powered by a Multicriteria Optimization Algorithm HJ Areiza-Laverde, AE Castro-Ospina, DH Peluffo-Ordóñez Workshop on Engineering Applications, 148-159, 2018 | 7 | 2018 |
Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors LL Lorente-Leyva, ID Herrera-Granda, PD Rosero-Montalvo, ... International Symposium on Neural Networks, 318-328, 2018 | 7 | 2018 |
Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering AE Castro-Ospina, C Castro-Hoyos, D Peluffo-Ordonez, ... 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 7 | 2013 |
Feature Group Selection Using MKL Penalized with -norm and SVM as Base Learner HJ Areiza-Laverde, GM Díaz, AE Castro-Ospina Workshop on Engineering Applications, 136-147, 2018 | 6 | 2018 |
Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms ID Herrera-Granda, LL Lorente-Leyva, DH Peluffo-Ordóñez, ... International Conference on Hybrid Artificial Intelligence Systems, 95-107, 2018 | 6 | 2018 |
Clasificación automática de las vocales en el lenguaje de señas colombiano DJ Botina-Monsalve, MA Domínguez-Vásquez, CA Madrigal-González, ... TecnoLógicas 21 (41), 103-114, 2018 | 6* | 2018 |
A kernel-based representation to support 3d mri unsupervised clustering D Cardenas-Pena, M Orbes-Arteaga, A Castro-Ospina, A Alvarez-Meza, ... 2014 22nd International Conference on Pattern Recognition (ICPR), 3203-3208, 2014 | 6 | 2014 |
Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages XB Valencia, DB Torres, CP Rodriguez, DH Peluffo-Ordóñez, MA Becerra, ... International Conference on Bioinformatics and Biomedical Engineering, 26-38, 2018 | 5 | 2018 |
Speckle Noise Reduction in Ultrasound Images for Improving the Metrological Evaluation of Biomedical Applications: An Overview CA Duarte-Salazar, AE Castro-Ospina, MA Becerra, E Delgado-Trejos IEEE Access 8, 15983-15999, 2020 | 4 | 2020 |
Electroencephalographic Signals and Emotional States for Tactile Pleasantness Classification MA Becerra, E Londoño-Delgado, SM Pelaez-Becerra, AE Castro-Ospina, ... International Workshop on Artificial Intelligence and Pattern Recognition …, 2018 | 4 | 2018 |
On the spectral clustering for dynamic data DH Peluffo-Ordóñez, JC Alvarado-Pérez, AE Castro-Ospina International Work-Conference on the Interplay Between Natural and …, 2015 | 4 | 2015 |
Machine Learning Methods for Classifying Mammographic Regions Using the Wavelet Transform and Radiomic Texture Features JS Rincón, AE Castro-Ospina, FR Narváez, GM Díaz International Conference on Technology Trends, 617-629, 2018 | 3 | 2018 |
Feature extraction based on time-singularity multifractal spectrum distribution in intracardiac atrial fibrillation signals RD Urda-Benitez, AE Castro-Ospina, A Orozco-Duque TecnoLógicas 20 (40), 97-111, 2017 | 3 | 2017 |
Analysis of Motor Imaginary BCI Within Multi-environment Scenarios Using a Mixture of Classifiers M Ortega-Adarme, M Moreno-Revelo, DH Peluffo-Ordoñez, DM Castrillon, ... Colombian Conference on Computing, 511-523, 2017 | 3 | 2017 |
Automatic graph pruning based on kernel alignment for spectral clustering AM Álvarez-Meza, AE Castro-Ospina, G Castellanos-Dominguez Pattern Recognition Letters 70, 8-16, 2016 | 3 | 2016 |
On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint DH Peluffo-Ordóñez, MA Becerra, AE Castro-Ospina, X Blanco-Valencia, ... Distributed Computing and Artificial Intelligence, 13th International …, 2016 | 3 | 2016 |