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Comparing ensemble strategies for deep learning: An application to facial expression recognition.

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Title: Comparing ensemble strategies for deep learning: An application to facial expression recognition.
Authors: Renda, Alessandro1,2, alessandro.renda@unifi.it, Barsacchi, Marco1,2, marco.barsacchi@unifi.it, Bechini, Alessio1, alessio.bechini@unipi.it, Marcelloni, Francesco1, francesco.marcelloni@unipi.it
Source: Expert Systems with Applications; Dec2019, Vol. 136, p1-11, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 137972885
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=137972885
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.eswa.2019.06.025
    Languages:
      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1
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      – TitleFull: Comparing ensemble strategies for deep learning: An application to facial expression recognition.
        Type: main
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            NameFull: Renda, Alessandro
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            NameFull: Barsacchi, Marco
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            NameFull: Bechini, Alessio
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            NameFull: Marcelloni, Francesco
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            – D: 01
              M: 12
              Text: Dec2019
              Type: published
              Y: 2019
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              Value: 09574174
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              Value: 136
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            – TitleFull: Expert Systems with Applications
              Type: main
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