Mostrando 10 resultados de: 45
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(20)
Communications in Computer and Information Science(9)
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014(1)
2014 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2014 - Proceedings(1)
2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings(1)
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Ciencias de la computación(15)
Fisiología humana(12)
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Characterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution
ArticleAbstract: The analysis of intracardiac signals, or electrograms (EGM), is one of the most promising tools to gPalabras claves:Atrial Fibrillation, Multifractal spectrum, Nonlinear signal processing, Time-singularity multifractal spectrum distributionAutores:A. E. Castro-Ospina, Orozco-Duque A., Urda-Benitez R.D.Fuentes:scopusCharacterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences
Conference ObjectAbstract: Training of deep learning models requires large and properly labeled datasets, which make unfeasiblePalabras claves:Breast Cancer, Deep feature selection, multiple kernel learning, ResNet, Transfer learningAutores:A. E. Castro-Ospina, Díaz G.M., Hernández M.L., Marín-Castrillón D.M., Osorno-Castillo K.Fuentes:scopusCompactly supported graph building for spectral clustering
Conference ObjectAbstract: In spectral clustering approaches is of great importance how is built the graph representation overPalabras claves:Autores:A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.Fuentes:scopusAutomatic graph building approach for spectral clustering
Conference ObjectAbstract: Spectral clustering techniques have shown their capability to identify the data relationships usingPalabras claves:Graph analysis, kernel function, Spectral clusteringAutores:A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.Fuentes:scopusAutomatic graph pruning based on kernel alignment for spectral clustering
ArticleAbstract: Detection of data structures in spectral clustering approaches becomes a difficult task when dealingPalabras claves:Graph pruning, Kernel alignment, Spectral clusteringAutores:A. E. Castro-Ospina, Álvarez-Meza A.M., Castellanos-Dominguez G.Fuentes:scopusBreast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification
Conference ObjectAbstract: Breast MRI interpretation requires that radiologists examine several images, depending on the acquisPalabras claves:Breast MRI, GBVS, Machine learning, MKL, Visual saliencyAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Duarte-Salazar C.a., Hernández M.L.Fuentes:scopusAnalysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers
Conference ObjectAbstract: Brain-computer interface (BCI) is a system that provides communication between human beings and machPalabras claves:Brain-Computer Interface, ENVIRONMENTS, Mixture of classifiers, Signal processingAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Marín-Castrillón D.M., Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.Fuentes:scopusA kernel-based representation to support 3D MRI unsupervised clustering
Conference ObjectAbstract: A new kernel-based image representation is proposed on this paper aiming to support clustering tasksPalabras claves:Autores:A. E. Castro-Ospina, Álvarez-Meza A.M., Cardenas-Pena D., Castellanos-Dominguez G., Orbes-Arteaga M.Fuentes:scopusA novel method for objective selection of information sources using multi-kernel SVM and local scaling
ArticleAbstract: Advancement on computer and sensing technologies has generated exponential growth in the data availaPalabras claves:Machine learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINESAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.Fuentes:scopusDevelopments on solutions of the normalized-cut-clustering problem without eigenvectors
Conference ObjectAbstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.Palabras claves:Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic formsAutores: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.Fuentes:scopus