Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning ; volume:36 ; number:30 ; day:1 ; month:8 ; year:2024 ; pages:18841-18862 ; date:10.2024
Neural computing & applications ; 36, Heft 30 (1.8.2024), 18841-18862, 10.2024
- Urheber
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Mamalakis, Michail
Banerjee, Abhirup
Ray, Surajit
Wilkie, Craig
Clayton, Richard H.
Swift, Andrew J.
Panoutsos, George
Vorselaars, Bart
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s00521-024-10182-6
- URN
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urn:nbn:de:101:1-2412022107387.896601916437
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:27 MESZ
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Beteiligte
- Mamalakis, Michail
- Banerjee, Abhirup
- Ray, Surajit
- Wilkie, Craig
- Clayton, Richard H.
- Swift, Andrew J.
- Panoutsos, George
- Vorselaars, Bart
- SpringerLink (Online service)
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