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Practical feature filter strategy to machine learning for small datasets in chemistry

; ;

In
Scientific reports 14(1), Seiten/Artikel-Nr.:20449

Impressum[London] : Springer Nature

Umfang1-10

ISSN2045-2322

Online
DOI: 10.18154/RWTH-2024-08824
DOI: 10.1038/s41598-024-71342-1

URL: https://publications.rwth-aachen.de/record/993557/files/993557.pdf

Einrichtungen

  1. Lehr- und Forschungsgebiet Thermochemie von Energiewerkstoffen (525820)
  2. Fachgruppe Materialwissenschaft und Werkstofftechnik (520000)
  3. JARA-ENERGY (080011)


Thematische Einordnung (Klassifikation)
DDC: 600

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85203377516
WOS Core Collection: WOS:001308221400001

Interne Identnummern
RWTH-2024-08824
Datensatz-ID: 993557

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

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Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record
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Faculty of Georesources and Materials Engineering (Fac.5) > Division of Materials Science and Engineering
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080011
525820
520000
 Record created 2024-09-23, last modified 2025-10-22
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