Intent Recognition Using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach

dc.contributor.author	Mihirette, S.
dc.contributor.author	Tan, Q.
dc.contributor.author	Cal Marín, Enrique Antonio de la
dc.date.accessioned	2024-02-05T12:01:37Z
dc.date.available	2024-02-05T12:01:37Z
dc.date.issued	2023
dc.identifier.citation	Mihirette, S., Tan, Q., De la Cal Martin, E.A. (2023). Intent Recognition Using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach. En García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science, vol 14001. Cham : Springer
dc.identifier.isbn	978-3-031-40724-6
dc.identifier.uri	https://hdl.handle.net/10651/71159
dc.description	International Conference Hybrid Artificial Intelligent Systems (HAIS) (18th. 2023. Salamanca, Spain)	spa
dc.language.iso	eng	spa
dc.publisher	Springer	spa
dc.relation.ispartof	Hybrid Artificial Intelligent Systems 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings	spa
dc.rights	© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.title	Intent Recognition Using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach	spa
dc.type	book part	spa
dc.identifier.doi	10.1007/978-3-031-40725-3_65
dc.relation.publisherversion	https://doi.org/10.1007/978-3-031-40725-3_65	spa

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