Documentos de A. E. Castro-Ospina | REDI

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Mostrando 10 resultados de: 15

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Área temáticas: "Ciencias de la computación"

Subtipo de publicación

Conference Object(15)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(7)

Communications in Computer and Information Science(2)

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014(1)

2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings(1)

2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016(1)

Área temáticas

Enfermedades(2)

Fisiología humana(1)

Funcionamiento de bibliotecas y archivos(1)

Medicina y salud(1)

Métodos informáticos especiales(1)

Área de conocimiento

Aprendizaje automático(11)

Ciencias de la computación(11)

Inteligencia artificial(2)

Optimización matemática(2)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(14)

ODS 3: Salud y bienestar(10)

ODS 17: Alianzas para lograr los objetivos(9)

ODS 4: Educación de calidad(5)

ODS 10: Reducción de las desigualdades(3)

Año de Publicación

Origen

Palabras Claves

Case-based reasoning(2)

Normalized cut clustering(2)

Spectral clustering(2)

classification(2)

A kernel-based representation to support 3D MRI unsupervised clustering

Conference Object

Abstract: A new kernel-based image representation is proposed on this paper aiming to support clustering tasks

Palabras claves:

A. E. Castro-Ospina, Álvarez-Meza A.M., Cardenas-Pena D., Castellanos-Dominguez G., Orbes-Arteaga M.

Automatic graph building approach for spectral clustering

Conference Object

Abstract: Spectral clustering techniques have shown their capability to identify the data relationships using

Palabras claves:

Graph analysis, kernel function, Spectral clustering

A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.

Case-based reasoning systems for medical applications with improved adaptation and recovery stages

Conference Object

Abstract: Case-Based Reasoning Systems (CBR) are in constant evolution, as a result, this article proposes imp

Palabras claves:

Cascade classification, Case-based reasoning, Preprocessing, probability

A. E. Castro-Ospina, D. Bastidas Torres, Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Piñeros Rodriguez C., Xiomara P. Blanco-Valencia

Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors

Conference Object

Abstract: When searching for better solutions that improve the medical diagnosis accuracy, Case-Based reasonin

Palabras claves:

Bayes, Case-based reasoning, classification, Parametric, probability

A. E. Castro-Ospina, D. Bastidas Torres, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Leandro L. Lorente-Leyva, Miguel A. Becerra, Piñeros Rodriguez C., Xiomara P. Blanco-Valencia

Developments on solutions of the normalized-cut-clustering problem without eigenvectors

Conference Object

Abstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.

Palabras claves:

Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic forms

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, K. L. Ponce-Guevara, Leandro L. Lorente-Leyva, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.

Efficient hyperparameter optimization in convolutional neural networks by learning curves prediction

Conference Object

Abstract: In this work, we present an automatic framework for hyperparameter selection in Convolutional Neural

Palabras claves:

deep learning, forecasting, Hyperparameter optimization, Learning curves, Singular spectrum analysis, SVR

A. E. Castro-Ospina, Cardona-Escobar A., Giraldo-Forero A., Jaramillo-Garzon J.A.

Feature extraction schemes for BCI systems

Conference Object

Abstract: Brain-computer Interfaces (BCIs) are control and communication systems based on acquisition and proc

Palabras claves:

A. E. Castro-Ospina, Duque-Munoz L., Vega-Escobar L.S.

Machine learning methods for classifying mammographic regions using the wavelet transform and radiomic texture features

Conference Object

Abstract: Automatic detection and classification of lesions in mammography remains one of the most important a

Palabras claves:

Breast Cancer, Machine learning methods, Radiomics, ROI classification

A. E. Castro-Ospina, Díaz G.M., Fabián R. Narváez, Rincón J.S.

Protein fold families prediction based on graph representations and machine learning methods

Conference Object

Abstract: Prediction of protein fold families remains an existing challenge in molecular biology and bioinform

Palabras claves:

A. E. Castro-Ospina, Areiza-Laverde H.J., Jaramillo-Garzon J.A., Mercado-Diaz L.R.

Movement identification in emg signals using machine learning: A comparative study

Conference Object

Abstract: The analysis of electromyographic (EMG) signals enables the development of important technologies fo

Palabras claves:

ANN, EMG signals, Feature Extraction, Knn, Parzen

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.