Autor Nombre: Gutiérrez Martín, Laura
Autor Nombre: López Ongil, Celia
Palabra clave Término: Machine Learning
Autor Nombre: Miranda Calero, José Angel
Autor Nombre: Canabal Benito, Manuel Felipe
1 a 3 de 3 Resultados
4 ago. 2023
Rituerto González, Esther; Miranda Calero, José Angel; Luis Mingueza, Clara; Gutiérrez Martín, Laura; Canabal Benito, Manuel Felipe; Lanza Gutiérrez, José Manuel; Peláez Moreno, Carmen; López Ongil, Celia, 2022, "UC3M4Safety Database - WEMAC: Audio features", https://doi.org/10.21950/XKHCCW, e-cienciaDatos, V4
EMPATIA-CM (Comprehensive Protection of Gender-based Violence Victims through Multimodal Affective Computing) is a research project that aims to generally understand the reactions of Gender-based Violence Victims to situations of danger, generate mechanisms for automatic detectio... |
17 may. 2021
Blanco Ruiz, María Ángeles; Gutiérrez Martín, Laura; Miranda Calero, José Angel; Canabal Benito, Manuel Felipe; Romero Perales, Elena; Sainz de Baranda Andújar, Clara; San Segundo Manuel, Rosa; Larrabeiti López, David; Peláez Moreno, Carmen; López Ongil, Celia, 2021, "UC3M4Safety Database - List of Audiovisual Stimuli", https://doi.org/10.21950/CXAAHR, e-cienciaDatos, V1
EMPATIA-CM (Comprehensive Protection of Gender-based Violence Victims through Multimodal Affective Computing) is a research project that aims to generally understand the reactions of Gender-based Violence Victims to situations of danger, generate mechanisms for automatic detectio... |
17 may. 2021
Blanco Ruiz, María Ángeles; Gutiérrez Martín, Laura; Miranda Calero, José Angel; Canabal Benito, Manuel Felipe; Romero Perales, Elena; Sainz de Baranda Andújar, Clara; San Segundo Manuel, Rosa; Larrabeiti López, David; Peláez Moreno, Carmen; López Ongil, Celia, 2021, "UC3M4Safety Database - List of Audiovisual Stimuli (Video)", https://doi.org/10.21950/LUO1IZ, e-cienciaDatos, V1
EMPATIA-CM (Comprehensive Protection of Gender-based Violence Victims through Multimodal Affective Computing) is a research project that aims to generally understand the reactions of Gender-based Violence Victims to situations of danger, generate mechanisms for automatic detectio... |