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Emotion Recognition from Multimodal Data: a machine learning approach combining classical and hybrid deep architectures.

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Title: Emotion Recognition from Multimodal Data: a machine learning approach combining classical and hybrid deep architectures.
Authors: de Santana, Maíra Araújo1 (AUTHOR), Fonseca, Flávio Secco1 (AUTHOR), Torcate, Arianne Sarmento1 (AUTHOR), dos Santos, Wellington Pinheiro1,2 (AUTHOR) wellington.santos@ufpe.br
Source: Research on Biomedical Engineering. Sep2023, Vol. 39 Issue 3, p613-638. 26p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Research+on+Biomedical+Engineering%22">Research on Biomedical Engineering</searchLink>. Sep2023, Vol. 39 Issue 3, p613-638. 26p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=171951953
RecordInfo BibRecord:
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        Value: 10.1007/s42600-023-00293-9
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      – Code: eng
        Text: English
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        PageCount: 26
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      – TitleFull: Emotion Recognition from Multimodal Data: a machine learning approach combining classical and hybrid deep architectures.
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            NameFull: de Santana, Maíra Araújo
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            NameFull: Fonseca, Flávio Secco
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            NameFull: Torcate, Arianne Sarmento
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              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 39
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