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Learning to sense from events via semantic variational autoencoder

In this paper, we introduce the concept of learning to sense, which aims to emulate a complex characteristic of human reasoning: the ability to monitor and understand a set of interdependent events for decision-making processes. Event datasets are composed of textual data and spatio-temporal feature...

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Detalles Bibliográficos
Autores principales: Gôlo, Marcos Paulo Silva, Rossi, Rafael Geraldeli, Marcacini, Ricardo Marcondes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699685/
https://www.ncbi.nlm.nih.gov/pubmed/34941880
http://dx.doi.org/10.1371/journal.pone.0260701

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