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Introduction to the special issue of the ECML PKDD 2020 journal track
Assent, I.
Domeniconi, C.
Gionis, Aristides
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.
ORCID iD:
0000-0002-5211-112X
Hüllermeier, E.
2020 (English)
In:
Machine Learning, ISSN 0885-6125, E-ISSN 1573-0565, Vol. 109, no 9-10, p. 1697-1698
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Springer , 2020. Vol. 109, no 9-10, p. 1697-1698
National Category
Business Administration
Identifiers
URN:
urn:nbn:se:kth:diva-302827
DOI:
10.1007/s10994-020-05907-2
ISI:
000567446900001
Scopus ID:
2-s2.0-85090473426
OAI: oai:DiVA.org:kth-302827
DiVA, id:
diva2:1599767
Note
QC 20211001
Available from:
2021-10-01
Created:
2021-10-01
Last updated:
2025-01-27
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ieee
modern-language-association-8th-edition
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apa
ieee
modern-language-association-8th-edition
vancouver
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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