Dataset’s chemical diversity limits the generalizability of machine learning predictions
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1758-2946
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Dataset’s chemical diversity limits the generalizability of machine learning predictions ; volume:11 ; number:1 ; day:12 ; month:11 ; year:2019 ; pages:1-15 ; date:12.2019
Journal of cheminformatics ; 11, Heft 1 (12.11.2019), 1-15, 12.2019
- Urheber
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Glavatskikh, Marta
Leguy, Jules
Hunault, Gilles
Cauchy, Thomas
Da Mota, Benoit
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s13321-019-0391-2
- URN
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urn:nbn:de:101:1-2020031002345735986226
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:03 MESZ
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Beteiligte
- Glavatskikh, Marta
- Leguy, Jules
- Hunault, Gilles
- Cauchy, Thomas
- Da Mota, Benoit
- SpringerLink (Online service)
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