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Andrés Eduardo Castro-Ospina
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2020 – today
- 2024
- [j8]Andrés Eduardo Castro-Ospina
, Paula A. Rodríguez Marín
Leveraging time-based acoustic patterns for ecosystem analysis. Neural Comput. Appl. 36(32): 20513-20526 (2024) - [j7]Andrés Eduardo Castro-Ospina
Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks. Sensors 24(7): 2106 (2024) - 2023
- [j6]David Jiménez-Murillo
Automatic Detection of Focal Cortical Dysplasia Using MRI: A Systematic Review. Sensors 23(16): 7072 (2023) - 2021
- [j5]Robert D. Urda-Benitez, Andrés Eduardo Castro-Ospina
Characterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution. Commun. Nonlinear Sci. Numer. Simul. 96: 105675 (2021) - [j4]Miguel A. Becerra
Information Quality Assessment for Data Fusion Systems. Data 6(6): 60 (2021) - 2020
- [j3]Carlos Andrés Duarte-Salazar
Speckle Noise Reduction in Ultrasound Images for Improving the Metrological Evaluation of Biomedical Applications: An Overview. IEEE Access 8: 15983-15999 (2020) - [j2]Henry Jhoán Areiza-Laverde
A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling. Sensors 20(14): 3919 (2020)
2010 – 2019
- 2019
- [c28]C. Duque-Mejía, Miguel A. Becerra
Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study. ACIIDS (1) 2019: 269-279 - [c27]D. Bastidas Torres, C. Piñeros Rodriguez, Diego Hernán Peluffo-Ordóñez
Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors. ACIIDS (1) 2019: 339-350 - [c26]J. F. Gómez-Lara, O. A. Ordóñez-Bolaños, Miguel A. Becerra
Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals. ACIIDS (1) 2019: 351-362 - [c25]Henry Jhoán Areiza-Laverde
Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification. CIARP 2019: 294-305 - [c24]Edwin Londoño-Delgado, Miguel Alberto Becerra
Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results. IWBBIO (2) 2019: 363-373 - 2018
- [c23]Israel David Herrera-Granda
Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms. HAIS 2018: 95-107 - [c22]Andrés Felipe Giraldo-Forero, Andrés Felipe Cardona-Escobar, Andrés Eduardo Castro-Ospina
Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance. HAIS 2018: 327-337 - [c21]Andrés Eduardo Castro-Ospina
Fingertips Segmentation of Thermal Images and Its Potential Use in Hand Thermoregulation Analysis. HAIS 2018: 455-463 - [c20]Leandro Leonardo Lorente-Leyva
Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors. ISNN 2018: 318-328 - [c19]Laura Stella Vega-Escobar, Andrés Eduardo Castro-Ospina, Leonardo Duque-Muñoz
Individual Finger Movement Recognition Based on sEMG and Classification Techniques. IWAIPR 2018: 113-121 - [c18]Miguel A. Becerra
Electroencephalographic Signals and Emotional States for Tactile Pleasantness Classification. IWAIPR 2018: 309-316 - [c17]Laura Lasso-Arciniegas, Andres Viveros-Melo, Jose Alejandro Salazar-Castro, Miguel A. Becerra
Movement Identification in EMG Signals Using Machine Learning: A Comparative Study. IWAIPR 2018: 368-375 - [c16]X. P. Blanco-Valencia
Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages. IWBBIO (1) 2018: 26-38 - [c15]Fabián M. Lopez-Chamorro, Andrés F. Arciniegas-Mejía, David Esteban Imbajoa-Ruiz, Paul D. Rosero-Montalvo
Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms. IWBBIO (1) 2018: 96-106 - [c14]Henry Jhoán Areiza-Laverde
Feature Group Selection Using MKL Penalized with \ell _1 ℓ 1 -norm and SVM as Base Learner. WEA (1) 2018: 136-147 - [c13]Henry Jhoán Areiza-Laverde
Voice Pathology Detection Using Artificial Neural Networks and Support Vector Machines Powered by a Multicriteria Optimization Algorithm. WEA (1) 2018: 148-159 - 2017
- [c12]Andrés F. Cardona-Escobar, Andrés Felipe Giraldo-Forero, Andrés Eduardo Castro-Ospina
Efficient Hyperparameter Optimization in Convolutional Neural Networks by Learning Curves Prediction. CIARP 2017: 143-151 - [c11]José Luis Rodríguez-Sotelo
Segment Clustering for Holter Recordings Analysis. IWINAC (1) 2017: 456-463 - 2016
- [j1]Andrés Marino Álvarez-Meza, Andrés Eduardo Castro-Ospina
Automatic graph pruning based on kernel alignment for spectral clustering. Pattern Recognit. Lett. 70: 8-16 (2016) - [c10]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
Multi-labeler Classification Using Kernel Representations and Mixture of Classifiers. CIARP 2016: 343-351 - [c9]Diego Hernán Peluffo-Ordóñez
On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint. DCAI 2016: 255-264 - 2015
- [c8]Diego Hernán Peluffo-Ordóñez
Multiple Kernel Learning for Spectral Dimensionality Reduction. CIARP 2015: 626-634 - [c7]Diego Hernán Peluffo-Ordóñez
On the Spectral Clustering for Dynamic Data. IWINAC (2) 2015: 148-155 - 2014
- [c6]Andrés Marino Álvarez-Meza, Andrés Eduardo Castro-Ospina
Spectral Clustering Using Compactly Supported Graph Building. CIARP 2014: 327-334 - [c5]Andrés Marino Álvarez-Meza, David Cárdenas-Peña
Tensor-product kernel-based representation encoding joint MRI view similarity. EMBC 2014: 3897-3900 - [c4]David Cárdenas-Peña
A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering. ICPR 2014: 3203-3208 - 2013
- [c3]Andrés Eduardo Castro-Ospina
Automatic Graph Building Approach for Spectral Clustering. CIARP (1) 2013: 190-197 - [c2]Andrés Eduardo Castro-Ospina
Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering. EMBC 2013: 7076-7079 - [c1]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
Coauthor Index
aka: Miguel Alberto Becerra
aka: César Germán Castellanos-Domínguez
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