- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Addressing data limitations in seizure prediction through transfer learning ; volume:14 ; number:1 ; day:19 ; month:6 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (19.6.2024), 1-11, 12.2024
- Creator
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Lopes, Fabio
Pinto, Mauro F.
Dourado, António
Schulze-Bonhage, Andreas
Dümpelmann, Matthias
Teixeira, César
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-64802-1
- URN
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urn:nbn:de:101:1-2409102118358.610003706512
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:29 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lopes, Fabio
- Pinto, Mauro F.
- Dourado, António
- Schulze-Bonhage, Andreas
- Dümpelmann, Matthias
- Teixeira, César
- SpringerLink (Online service)
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Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic
Addressing the limitations of forecasting banknote demand
Addressing ethical challenges of disclosure in dementia prediction: limitations of current guidelines and suggestions to proceed
EEG seizure detection and prediction algorithms: a survey
Epilepsy seizure prediction with few-shot learning method
Addressing TCAM limitations in an SDN-based pub/sub system
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm
Addressing water quality in water footprinting: current status, methods and limitations
Addressing water quality in water footprinting: current status, methods and limitations
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Addressing data limitations in seizure prediction through transfer learning
Comparison of three nonlinear seizure prediction methods by means of the seizure prediction characteristic
Addressing the limitations of forecasting banknote demand
Addressing ethical challenges of disclosure in dementia prediction: limitations of current guidelines and suggestions to proceed
EEG seizure detection and prediction algorithms: a survey
Epilepsy seizure prediction with few-shot learning method
Addressing TCAM limitations in an SDN-based pub/sub system
Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm
Addressing water quality in water footprinting: current status, methods and limitations
Addressing water quality in water footprinting: current status, methods and limitations
Addressing materials’ microstructure diversity using transfer learning