Matches in SemOpenAlex for { <https://semopenalex.org/work/W3001371310> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W3001371310 abstract "In the field of motor imagery (MI) classification, it is a great challenge to preserve temporal features and spatial ones of the electroencephalogram (EEG) data simultaneously for effective processing. In our former study, a novel framework for MI classification has been proposed, which represents the EEG data into a 3D form and handles it with a multi-branch 3D convolutional neural network (3D CNN). The 3D CNN is constructed with three different branches and already proved to be better than one branch network. In this paper, to study the mechanism of the multi-branch structure, we modify the framework of the multi-branch network with three same networks as the branch and compare different multi-branch networks with the corresponding one branch network to find whether multi-branch structure is better than one branch structure in MI classification tasks. Experiment results revealed that the modified multi-branch 3D CNN can also reach state-of-the-art classification kappa value level and performs better than other methods in terms of standard deviation including the original network with three different branches. The good performance of the modified network may reflect multi-branch structure is better than one branch structure and shows its application value in EEG classification." @default.
- W3001371310 created "2020-01-30" @default.
- W3001371310 creator A5029881830 @default.
- W3001371310 creator A5048857502 @default.
- W3001371310 creator A5071463104 @default.
- W3001371310 creator A5078637362 @default.
- W3001371310 date "2019-12-01" @default.
- W3001371310 modified "2023-09-24" @default.
- W3001371310 title "The Mechanism of a Multi-Branch Structure for EEG-Based Motor Imagery Classification" @default.
- W3001371310 cites W1596040508 @default.
- W3001371310 cites W1967131163 @default.
- W3001371310 cites W1969878365 @default.
- W3001371310 cites W1974945869 @default.
- W3001371310 cites W2012485898 @default.
- W3001371310 cites W2015592526 @default.
- W3001371310 cites W2090262261 @default.
- W3001371310 cites W2132015164 @default.
- W3001371310 cites W2136897104 @default.
- W3001371310 cites W2150590430 @default.
- W3001371310 cites W2249619324 @default.
- W3001371310 cites W2317796602 @default.
- W3001371310 cites W2619514794 @default.
- W3001371310 cites W2741907166 @default.
- W3001371310 cites W2762006829 @default.
- W3001371310 cites W2894424125 @default.
- W3001371310 cites W2899435621 @default.
- W3001371310 cites W2971075653 @default.
- W3001371310 doi "https://doi.org/10.1109/robio49542.2019.8961384" @default.
- W3001371310 hasPublicationYear "2019" @default.
- W3001371310 type Work @default.
- W3001371310 sameAs 3001371310 @default.
- W3001371310 citedByCount "3" @default.
- W3001371310 countsByYear W30013713102021 @default.
- W3001371310 countsByYear W30013713102022 @default.
- W3001371310 crossrefType "proceedings-article" @default.
- W3001371310 hasAuthorship W3001371310A5029881830 @default.
- W3001371310 hasAuthorship W3001371310A5048857502 @default.
- W3001371310 hasAuthorship W3001371310A5071463104 @default.
- W3001371310 hasAuthorship W3001371310A5078637362 @default.
- W3001371310 hasConcept C118552586 @default.
- W3001371310 hasConcept C153180895 @default.
- W3001371310 hasConcept C154945302 @default.
- W3001371310 hasConcept C15744967 @default.
- W3001371310 hasConcept C173201364 @default.
- W3001371310 hasConcept C41008148 @default.
- W3001371310 hasConcept C522805319 @default.
- W3001371310 hasConcept C54808283 @default.
- W3001371310 hasConcept C81363708 @default.
- W3001371310 hasConceptScore W3001371310C118552586 @default.
- W3001371310 hasConceptScore W3001371310C153180895 @default.
- W3001371310 hasConceptScore W3001371310C154945302 @default.
- W3001371310 hasConceptScore W3001371310C15744967 @default.
- W3001371310 hasConceptScore W3001371310C173201364 @default.
- W3001371310 hasConceptScore W3001371310C41008148 @default.
- W3001371310 hasConceptScore W3001371310C522805319 @default.
- W3001371310 hasConceptScore W3001371310C54808283 @default.
- W3001371310 hasConceptScore W3001371310C81363708 @default.
- W3001371310 hasLocation W30013713101 @default.
- W3001371310 hasOpenAccess W3001371310 @default.
- W3001371310 hasPrimaryLocation W30013713101 @default.
- W3001371310 hasRelatedWork W2175746458 @default.
- W3001371310 hasRelatedWork W2732542196 @default.
- W3001371310 hasRelatedWork W2738221750 @default.
- W3001371310 hasRelatedWork W2760085659 @default.
- W3001371310 hasRelatedWork W2883200793 @default.
- W3001371310 hasRelatedWork W2912288872 @default.
- W3001371310 hasRelatedWork W2940661641 @default.
- W3001371310 hasRelatedWork W2969456792 @default.
- W3001371310 hasRelatedWork W3012978760 @default.
- W3001371310 hasRelatedWork W3093612317 @default.
- W3001371310 isParatext "false" @default.
- W3001371310 isRetracted "false" @default.
- W3001371310 magId "3001371310" @default.
- W3001371310 workType "article" @default.