Few-Shot Relation Learning with Attention for EEG-based Motor Imagery
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Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification

3 March 2020

Philip Chikontwe

Papers citing "Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification"

9 / 9 papers shown

Title
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification Sion An Myeongkyun Kang Soopil Kim Philip Chikontwe Li Shen Sanghyun Park 24 0 0 17 May 2024
Calibration-free online test-time adaptation for electroencephalography motor imagery decoding Martin Wimpff Mario Döbler Bin Yang 17 7 0 30 Nov 2023
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface Jingcong Li Fei Wang Haiyun Huang Feifei Qi Jiahui Pan 30 31 0 07 Sep 2022
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces Omair Ali Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis Christian Klaes 15 4 0 21 Jun 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 32 32 0 25 Mar 2022
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey Xun Chen Chang Li Aiping Liu Martin J. McKeown Ruobing Qian Z. J. Wang 19 70 0 08 Dec 2021
Uncertainty-Aware Semi-Supervised Few Shot Segmentation Soopil Kim Philip Chikontwe Sang Hyun Park 19 14 0 18 Oct 2021
CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet Alberto Zancanaro Giulia Cisotto J. Paulo G. Pires U. J. Nunes 19 26 0 17 May 2021
A Meta-Learning Approach for Medical Image Registration Heejung Park Gyeong Min Lee Soopil Kim Gahyung Ryu Areum Jeong Sang Hyun Park Sa-Hee Min 21 11 0 21 Apr 2021