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Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment

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Title: Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment
Authors: Vetrab, Mercedes, Egas-Lopez, Jose Vicente, Balogh, Reka, Imre, Nora, Hoffmann, Ildiko, Toth, Laszlo, Pakaski, Magdolna, Kalman, Janos, Gosztolya, Gabor
Source: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2022 - 2022 IEEE International Conference on. :6467-6471 May, 2022
Relation: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Database: IEEE Xplore Digital Library
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  Data: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2022 - 2022 IEEE International Conference on. :6467-6471 May, 2022
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/ICASSP43922.2022.9746148
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      Pagination:
        PageCount: 5
        StartPage: 6467
    Titles:
      – TitleFull: Using Spectral Sequence-to-Sequence Autoencoders to Assess Mild Cognitive Impairment
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            NameFull: Vetrab, Mercedes
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            NameFull: Egas-Lopez, Jose Vicente
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            NameFull: Balogh, Reka
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            NameFull: Imre, Nora
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            NameFull: Hoffmann, Ildiko
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            NameFull: Toth, Laszlo
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            NameFull: Pakaski, Magdolna
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            NameFull: Kalman, Janos
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            NameFull: Gosztolya, Gabor
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          Dates:
            – D: 23
              M: 05
              Type: published
              Y: 2022
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