Anaya-Isaza A.J.
23
Coauthors
4
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2016 | 1 |
| 2017 | 1 |
| 2020 | 1 |
| 2021 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Ciencias de la computación | 4 |
| Análisis de datos | 2 |
| Aprendizaje automático | 2 |
| Ingeniería energética | 1 |
| Optimización matemática | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Ciencias de la computación | 2 |
| Métodos informáticos especiales | 2 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 4 |
| Google Scholar | 1 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Diego Hernán Peluffo-Ordóñez | 4 |
| Paul D. Rosero-Montalvo | 2 |
| Alvarado-PÉrez J.C. | 2 |
| Therón R. | 2 |
| Jorge Parraga-Alava | 1 |
| Javier E. Revelo-Fuelagán | 1 |
| Moncayo-Nacaza J.D. | 1 |
| Lorena Guachi-Guachi | 1 |
| Rios-Patino J.I. | 1 |
| Cabrera-Chavarro J.M. | 1 |
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Top Keywords
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Publicaciones del autor
Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms
ArticleAbstract: Breast cancer causes approximately 684,996 deaths worldwide, making it the leading cause of female cPalabras claves:Artificial Intelligence, biomedical imaging, Cáncer, image segmentation, Machine learning, Mammography, Medical diagnostic imagingAutores:Anaya-Isaza A.J., Cabrera-Chavarro J.M., Diego Hernán Peluffo-Ordóñez, Lorena Guachi-Guachi, Mera-Jimenez L., Rios-Patino J.I.Fuentes:scopusA data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia
OtherAbstract: In this article, we introduce a data set concerning electric-power consumption-related features regiPalabras claves:Electric power consumption, forecasting, Machine learning, smart Grid, Socio-demographic dataAutores:Anaya-Isaza A.J., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Jorge Parraga-Alava, Moncayo-Nacaza J.D., Paul D. Rosero-MontalvoFuentes:googlescopusOn the relationship between dimensionality reduction and spectral clustering from a kernel viewpoint
Conference ObjectAbstract: This paper presents the development of a unified view of spectral clustering and unsupervised dimensPalabras claves:Dimensionality reduction, Generalized kernel formulation, Kernel PCA, Spectral clustering, Support Vector MachineAutores:A. E. Castro-Ospina, Alvarado-PÉrez J.C., Anaya-Isaza A.J., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Therón R., Xiomara P. Blanco-ValenciaFuentes:scopusInteractive data visualization using dimensionality reduction and similarity-based representations
Conference ObjectAbstract: This work presents a new interactive data visualization approach based on mixture of the outcomes ofPalabras claves:data visualization, Dimensionality reduction, Pairwise similarityAutores:Alvarado-PÉrez J.C., Anaya-Isaza A.J., Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Paul D. Rosero-Montalvo, Paul Diaz, Salazar-Castro J.A., Therón R.Fuentes:scopus