Andrés Eduardo Castro-Ospina

Orcid: 0000-0003-3893-1137

According to our database1, Andrés Eduardo Castro-Ospina authored at least 36 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Leveraging time-based acoustic patterns for ecosystem analysis.
Neural Comput. Appl., November, 2024

Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks.
Sensors, April, 2024

2023
Automatic Detection of Focal Cortical Dysplasia Using MRI: A Systematic Review.
Sensors, August, 2023

2021
Information Quality Assessment for Data Fusion Systems.
Data, 2021

Characterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution.
Commun. Nonlinear Sci. Numer. Simul., 2021

2020
A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling.
Sensors, 2020

Speckle Noise Reduction in Ultrasound Images for Improving the Metrological Evaluation of Biomedical Applications: An Overview.
IEEE Access, 2020

2019
Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
Feature Group Selection Using MKL Penalized with \ell _1 ℓ 1 -norm and SVM as Base Learner.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Voice Pathology Detection Using Artificial Neural Networks and Support Vector Machines Powered by a Multicriteria Optimization Algorithm.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Individual Finger Movement Recognition Based on sEMG and Classification Techniques.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Movement Identification in EMG Signals Using Machine Learning: A Comparative Study.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Electroencephalographic Signals and Emotional States for Tactile Pleasantness Classification.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Fingertips Segmentation of Thermal Images and Its Potential Use in Hand Thermoregulation Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Segment Clustering for Holter Recordings Analysis.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Efficient Hyperparameter Optimization in Convolutional Neural Networks by Learning Curves Prediction.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
Automatic graph pruning based on kernel alignment for spectral clustering.
Pattern Recognit. Lett., 2016

On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016

Multi-labeler Classification Using Kernel Representations and Mixture of Classifiers.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015
On the Spectral Clustering for Dynamic Data.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Multiple Kernel Learning for Spectral Dimensionality Reduction.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Tensor-product kernel-based representation encoding joint MRI view similarity.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Spectral Clustering Using Compactly Supported Graph Building.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Normalized cuts clustering with prior knowledge and a pre-clustering stage.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Automatic Graph Building Approach for Spectral Clustering.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013


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