Molina-Cabello M.A.
22
Coauthors
6
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2016 | 2 |
| 2017 | 1 |
| 2018 | 2 |
| 2022 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Simulación por computadora | 5 |
| Ciencias de la computación | 4 |
| Visión por computadora | 2 |
| Aprendizaje automático | 2 |
| Red neuronal artificial | 1 |
| Algoritmo | 1 |
| Ingeniería de software | 1 |
| Software | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Métodos informáticos especiales | 4 |
| Ciencias de la computación | 2 |
| Escuelas y sus actividades; educación especial | 1 |
| Ingeniería y operaciones afines | 1 |
| Probabilidades y matemática aplicada | 1 |
| Física aplicada | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 6 |
| Google Scholar | 0 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Esteban José Palomo | 6 |
| López-Rubio E. | 5 |
| Luque-Baena R.M. | 4 |
| Domínguez E. | 3 |
| Thurnhofer-Hemsi K. | 1 |
| Molina-Cabello D. | 1 |
| Francisco Ortega-Zamorano | 1 |
| López-Rubio F.J. | 1 |
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Top Keywords
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Publicaciones del autor
A New Self-Organizing Neural Gas Model based on Bregman Divergences
Conference ObjectAbstract: In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman NeurPalabras claves:Autores:Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopusAre learning styles useful? A new software to analyze correlations with grades and a case study in engineering
ArticleAbstract: Knowing student learning styles represents an effective way to design the most suitable methodologyPalabras claves:ACADEMIC PERFORMANCE, Evaluation, GRADE, Learning style, virtual campusAutores:Esteban José Palomo, Molina-Cabello D., Molina-Cabello M.A., Thurnhofer-Hemsi K.Fuentes:scopusSmart motion detection sensor based on video processing using self-organizing maps
ArticleAbstract: Most current approaches to computer vision are based on expensive, high performance hardware to meetPalabras claves:Arduino, Block processing, IMAGE PROCESSING, microcontroller, self-organizing mapAutores:Esteban José Palomo, Francisco Ortega-Zamorano, López-Rubio E., Molina-Cabello M.A.Fuentes:scopusFrame size reduction for foreground detection in video sequences
Conference ObjectAbstract: A frame resolution reduction framework to reduce the computational load and improve the foreground dPalabras claves:foreground detection, Interpolation techniques, Video size reductionAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopusPixel features for self-organizing map based detection of foreground objects in dynamic environments
Conference ObjectAbstract: Among current foreground detection algorithms for video sequences, methods based on self-organizingPalabras claves:background features, background modeling, foreground detection, Probabilistic self-organising mapsAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopus