Chained Deep Learning Using Generalized Cross-Entropy for Multiple Annotators Classification

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...

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Bibliographic Details
Main Authors: Jenniffer Carolina Triana-Martinez, Julian Gil-González, Jose A. Fernandez-Gallego, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
deep learning
multiple annotators
chained approach
generalized cross-entropy
classification
Online Access:https://www.mdpi.com/1424-8220/23/7/3518

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https://www.mdpi.com/1424-8220/23/7/3518

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