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Refinado por: Base de dados/Biblioteca: BACON - Mir@bel - GLOBAL_LIBRESACCES remover Nome da Publicação: Ieee Transactions On Neural Systems And Rehabilitation Engineering remover
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Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data
Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data
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Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data

Flores, Christian ; Contreras, Marcelo ; Macedo, Ichiro ; Andreu-Perez, Javier

IEEE transactions on neural systems and rehabilitation engineering, 2024-07, Vol.PP, p.1-1 [Periódico revisado por pares]

IEEE

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2
Double Stage Transfer Learning for Brain-Computer Interfaces
Double Stage Transfer Learning for Brain-Computer Interfaces
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Double Stage Transfer Learning for Brain-Computer Interfaces

Gao, Yunyuan ; Li, Mengting ; Peng, Yun ; Fang, Feng ; Zhang, Yingchun

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.PP, p.1-1 [Periódico revisado por pares]

United States: IEEE

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3
Multi-View Spatial-Temporal Graph Convolutional Networks With Domain Generalization for Sleep Stage Classification
Multi-View Spatial-Temporal Graph Convolutional Networks With Domain Generalization for Sleep Stage Classification
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Multi-View Spatial-Temporal Graph Convolutional Networks With Domain Generalization for Sleep Stage Classification

Jia, Ziyu ; Lin, Youfang ; Wang, Jing ; Ning, Xiaojun ; He, Yuanlai ; Zhou, Ronghao ; Zhou, Yuhan ; Lehman, Li-wei H.

IEEE transactions on neural systems and rehabilitation engineering, 2021, Vol.29, p.1977-1986 [Periódico revisado por pares]

IEEE

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4
A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series
A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series
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A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series

Chambon, Stanislas ; Galtier, Mathieu N. ; Arnal, Pierrick J. ; Wainrib, Gilles ; Gramfort, Alexandre

IEEE transactions on neural systems and rehabilitation engineering, 2018-04, Vol.26 (4), p.758-769 [Periódico revisado por pares]

United States: IEEE

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5
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
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Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Cote-Allard, Ulysse ; Fall, Cheikh Latyr ; Drouin, Alexandre ; Campeau-Lecours, Alexandre ; Gosselin, Clement ; Glette, Kyrre ; Laviolette, Francois ; Gosselin, Benoit

IEEE transactions on neural systems and rehabilitation engineering, 2019-04, Vol.27 (4), p.760-771 [Periódico revisado por pares]

United States: IEEE

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6
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization
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Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization

Wu, Dongrui ; Lawhern, Vernon J. ; Hairston, W. David ; Lance, Brent J.

IEEE transactions on neural systems and rehabilitation engineering, 2016-11, Vol.24 (11), p.1125-1137 [Periódico revisado por pares]

United States: IEEE

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7
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
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Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces

Zhang, Wen ; Wu, Dongrui

IEEE transactions on neural systems and rehabilitation engineering, 2020-05, Vol.28 (5), p.1117-1127 [Periódico revisado por pares]

United States: IEEE

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8
EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces
EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces
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EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces

Santamaria-Vazquez, Eduardo ; Martinez-Cagigal, Victor ; Vaquerizo-Villar, Fernando ; Hornero, Roberto

IEEE transactions on neural systems and rehabilitation engineering, 2020-12, Vol.28 (12), p.2773-2782 [Periódico revisado por pares]

United States: IEEE

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9
Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System
Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System
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Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

Jiang, Yizhang ; Wu, Dongrui ; Deng, Zhaohong ; Qian, Pengjiang ; Wang, Jun ; Wang, Guanjin ; Chung, Fu-Lai ; Choi, Kup-Sze ; Wang, Shitong

IEEE transactions on neural systems and rehabilitation engineering, 2017-12, Vol.25 (12), p.2270-2284 [Periódico revisado por pares]

United States: IEEE

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10
Weighted Transfer Learning for Improving Motor Imagery-Based Brain-Computer Interface
Weighted Transfer Learning for Improving Motor Imagery-Based Brain-Computer Interface
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Weighted Transfer Learning for Improving Motor Imagery-Based Brain-Computer Interface

Azab, Ahmed M. ; Mihaylova, Lyudmila ; Ang, Kai Keng ; Arvaneh, Mahnaz

IEEE transactions on neural systems and rehabilitation engineering, 2019-07, Vol.27 (7), p.1352-1359 [Periódico revisado por pares]

United States: IEEE

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