Search Results - "multitask autoencoder"

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  1. 1

    Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification by Jin, Changgyun, Song, Andrew H., Kim, Seong-Eun

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2024
    Published in IEEE access (2024)
    “… Although multitask autoencoder (MTAE) techniques have recently been used to mitigate this issue, these approaches encounter an imbalance problem between loss functions…”
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    Journal Article
  2. 2

    TWEN: EEG Emotion Recognition Model Based on Weakly Supervised Learning Framework with Two-Phase Multitask Autoencoder by Kim, Taewan, Jin, ChangGyun, Kim, Seong-Eun

    ISSN: 2162-1241
    Published: IEEE 16.10.2024
    “… TWEN incorporates a Two-phase Multitask Autoencoder to mitigate inter-subject variability and a Top-k Selection method to reduce label noise…”
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    Conference Proceeding
  3. 3

    Multitask Autoencoder-Based Two-Phase Framework Using Multilevel Feature Fusion for EEG Emotion Recognition by Jin, ChangGyun, Shin, ChanWoo, Kim, Hanul, Kim, Seong-Eun

    ISSN: 2767-7699
    Published: IEEE 28.01.2024
    “… recognition by proposing a novel architecture that employs multilevel feature fusion and a multitask autoencoder-based two-phase framework…”
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    Conference Proceeding
  4. 4

    MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification by Autthasan, Phairot, Chaisaen, Rattanaphon, Sudhawiyangkul, Thapanun, Rangpong, Phurin, Kiatthaveephong, Suktipol, Dilokthanakul, Nat, Bhakdisongkhram, Gun, Phan, Huy, Guan, Cuntai, Wilaiprasitporn, Theerawit

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Published: United States IEEE 01.06.2022
    “… We integrate deep metric learning into a multi-task autoencoder to learn a compact and discriminative latent representation from EEG and perform classification simultaneously. Results…”
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    Journal Article
  5. 5

    MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification by Autthasan, Phairot, Chaisaen, Rattanaphon, Sudhawiyangkul, Thapanun, Rangpong, Phurin, Kiatthaveephong, Suktipol, Dilokthanakul, Nat, Bhakdisongkhram, Gun, Phan, Huy, Guan, Cuntai, Wilaiprasitporn, Theerawit

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 07.01.2022
    Published in arXiv.org (07.01.2022)
    “… We integrate deep metric learning into a multi-task autoencoder to learn a compact and discriminative latent representation from EEG and perform classification simultaneously…”
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    Paper