EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms ; volume:2024 ; number:1 ; day:30 ; month:10 ; year:2024 ; pages:1-23 ; date:12.2024
EURASIP journal on advances in signal processing / European Association for Speech, Signal and Image Processing ; 2024, Heft 1 (30.10.2024), 1-23, 12.2024
- Creator
-
Peng, Jianhui
Ran, Ao
Yu, Chenjin
Liu, Huafeng
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13634-024-01187-3
- URN
-
urn:nbn:de:101:1-2501192121209.712252625123
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Peng, Jianhui
- Ran, Ao
- Yu, Chenjin
- Liu, Huafeng
- SpringerLink (Online service)
Other Objects (12)
Hierarchical dynamic convolutional neural network for laryngeal disease classification
Single-cell classification using graph convolutional networks
Hierarchical graph learning with convolutional network for brain disease prediction
Transformer and Graph Convolutional Network for Text Classification
Evidential relational-graph convolutional networks for entity classification in knowledge graphs
Enhanced brain tumor classification using graph convolutional neural network architecture
Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks
Graph convolutional and attention models for entity classification in multilayer networks
Multi-label classification of fundus images based on graph convolutional network
Intelligent waste classification approach based on improved multi-layered convolutional neural network
Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks
An abstract model of hierarchical graphs and hierarchical graph transformation
Hierarchical dynamic convolutional neural network for laryngeal disease classification
Single-cell classification using graph convolutional networks
Hierarchical graph learning with convolutional network for brain disease prediction
Transformer and Graph Convolutional Network for Text Classification
Evidential relational-graph convolutional networks for entity classification in knowledge graphs
Enhanced brain tumor classification using graph convolutional neural network architecture
Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks
Graph convolutional and attention models for entity classification in multilayer networks
Multi-label classification of fundus images based on graph convolutional network
Intelligent waste classification approach based on improved multi-layered convolutional neural network
Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks
An abstract model of hierarchical graphs and hierarchical graph transformation
Hierarchical dynamic convolutional neural network for laryngeal disease classification
Single-cell classification using graph convolutional networks
Hierarchical graph learning with convolutional network for brain disease prediction
Transformer and Graph Convolutional Network for Text Classification
Evidential relational-graph convolutional networks for entity classification in knowledge graphs
Enhanced brain tumor classification using graph convolutional neural network architecture
Exploring semantic relationships for hierarchical land use classification based on convolutional neural networks
Graph convolutional and attention models for entity classification in multilayer networks
Multi-label classification of fundus images based on graph convolutional network
Intelligent waste classification approach based on improved multi-layered convolutional neural network
Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks