Leveraging deep contrastive learning for semantic interaction

The semantic interaction process seeks to elicit a user’s mental model as they interact with and query visualizations during a sense-making activity. Semantic interaction enables the development of computational models that capture user intent and anticipate user actions. Deep learning is proving to...

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Detalles Bibliográficos
Autores principales: Belcaid, Mahdi, Gonzalez Martinez, Alberto, Leigh, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044347/
https://www.ncbi.nlm.nih.gov/pubmed/35494826
http://dx.doi.org/10.7717/peerj-cs.925

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044347/
https://www.ncbi.nlm.nih.gov/pubmed/35494826
http://dx.doi.org/10.7717/peerj-cs.925

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