Caicedo-Bravo E.F.
21
Coauthors
7
Documentos
Volumen de publicaciones por año
Cargando gráfico
| Año de publicación | Num. Publicaciones |
|---|---|
| 2021 | 5 |
| 2022 | 2 |
Publicaciones por áreas de conocimiento
Cargando gráfico
| Área de conocimiento | Num. Publicaciones |
|---|---|
| Ciencias de la computación | 3 |
| Inteligencia artificial | 2 |
| Tecnología educativa | 2 |
| Psicopatología | 1 |
| Visión por computadora | 1 |
| Aprendizaje automático | 1 |
| Algoritmo | 1 |
Publicaciones por áreas temáticas
Cargando gráfico
| Área temática | Num. Publicaciones |
|---|---|
| Física aplicada | 3 |
| Fisiología humana | 2 |
| Enfermedades | 2 |
| Escuelas y sus actividades; educación especial | 2 |
| Métodos informáticos especiales | 2 |
| Medicina y salud | 1 |
| Problemas sociales y servicios a grupos | 1 |
| Psicología diferencial y del desarrollo | 1 |
| Psicología aplicada | 1 |
| Procesos mentales conscientes e inteligencia | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 7 |
| Google Scholar | 3 |
| RRAAE | 0 |
Cargando gráfico
Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Bacca B. | 4 |
| Nancy Paredes | 3 |
| Alfonso-Morales W. | 2 |
| Johanna B. Tobar | 2 |
| JOHANNA BELEN TOBAR QUEVEDO | 2 |
| Danni de la Cruz | 1 |
| NELSON BOLIVAR BENAVIDES CIFUENTES | 1 |
| Bladimir B.C. | 1 |
| Brandon Muñoz | 1 |
| Joffre Delgado | 1 |
Cargando gráfico
Top Keywords
Cargando gráfico
Publicaciones del autor
Analysis of the Information Transfer Rate-ITR in Linear and Non-linear Feature Extraction Methods for SSVEP Signals
ArticleAbstract: The most popular paradigm in BCIs is the steady-state visually evoked potential (SSVEP) due to theirPalabras claves:brain-computer interfaces, Canonical correlation analysis, empirical mode decomposition, information transfer rate, Steady-state visually evoked potentialAutores:Alfonso-Morales W., Caicedo-Bravo E.F., Danni de la CruzFuentes:scopusExperimental Analysis Using Action Units as Feature Descriptor for Emotion in People with down Syndrome
Conference ObjectAbstract: This article presents an analysis based on Action Units of the facial expressions of four basic emotPalabras claves:AUs, Down syndrome, Facial units code system, FACS action units, KLDAutores:Bladimir B.C., Caicedo-Bravo E.F., Nancy ParedesFuentes:scopusReal-Time Emotion Recognition Through Video Conference and Streaming
Conference ObjectAbstract: The Covid-19 pandemic changed the course of activities, both work and education in the world, migratPalabras claves:deep learning, emotions, Flask, PYTHON, VideoconferencesAutores:Bacca B., Caicedo-Bravo E.F., Nancy ParedesFuentes:scopusSolving the ssvep paradigm using the nonlinear canonical correlation analysis approach
ArticleAbstract: This paper presents the implementation of nonlinear canonical correlation analysis (NL-CCA) approachPalabras claves:Canonical correlation analysis, deep learning, information transfer rate, Nonlinear canonical correlation analysis, Steady-state visual evoked potentialsAutores:Alfonso-Morales W., Caicedo-Bravo E.F., Danni R. de la CruzFuentes:scopusEmotion Recognition of Down Syndrome People Based on the Evaluation of Artificial Intelligence and Statistical Analysis Methods
ArticleAbstract: This article presents a study based on evaluating different techniques to automatically recognize thPalabras claves:action units, Down syndrome, probabilities, Transfer learningAutores:Bacca B., Caicedo-Bravo E.F., Nancy Paredes, NELSON BOLIVAR BENAVIDES CIFUENTESFuentes:googlescopus