Chained deep learning using generalized cross-entropy for multiple annotators classification
Supervised learning requires the accurate labeling of instances, usually provided by an expert. Crowdsourcing platforms offer a practical and cost-effective alternative for large datasets when individual annotation is impractical. In addition, these platforms gather labels from multiple labelers. St...
- Autores:
-
Triana-Martinez, Jenniffer Carolina
Gil-González, Julian
Fernandez-Gallego, Jose A.
Lugo González, Carlos Andrés
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2023
- Institución:
- Universidad de Ibagué
- Repositorio:
- Repositorio Universidad de Ibagué
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unibague.edu.co:20.500.12313/3837
- Acceso en línea:
- https://hdl.handle.net/20.500.12313/3837
- Palabra clave:
- Chained approach
Classification; deep learning
Generalized cross-entropy
Multiple annotators
- Rights
- openAccess
- License
- http://purl.org/coar/access_right/c_abf2