Search Results - "multitask autoencoder"
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Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification
ISSN: 2169-3536, 2169-3536Published: Piscataway IEEE 2024Published 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 -
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TWEN: EEG Emotion Recognition Model Based on Weakly Supervised Learning Framework with Two-Phase Multitask Autoencoder
ISSN: 2162-1241Published: IEEE 16.10.2024Published in International Conference on Information and Communication Technology Convergence (Print) (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 -
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Multitask Autoencoder-Based Two-Phase Framework Using Multilevel Feature Fusion for EEG Emotion Recognition
ISSN: 2767-7699Published: IEEE 28.01.2024Published in International Conference on Electronics, Information and Communications (Online) (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 -
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MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
ISSN: 0018-9294, 1558-2531, 1558-2531Published: United States IEEE 01.06.2022Published in IEEE transactions on biomedical engineering (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 -
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MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 07.01.2022Published 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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