Introduction to the special issue of the ECML PKDD 2021 journal track

Annalisa Appice; Sergio Escalera; Jose A. Gámez; Heike Trautmann

doi:10.1007/s10994-021-06062-y

Introduction to the special issue of the ECML PKDD 2021 journal track

Annalisa Appice^*, Sergio Escalera, Jose A. Gámez, Heike Trautmann

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Journal	Machine Learning
Volume	110
Issue number	10
Pages (from-to)	2991-2992
Number of pages	2
ISSN	0885-6125
DOIs	https://doi.org/10.1007/s10994-021-06062-y
Publication status	Published - 2021
Externally published	Yes

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title = "Introduction to the special issue of the ECML PKDD 2021 journal track",

author = "Annalisa Appice and Sergio Escalera and G{\'a}mez, {Jose A.} and Heike Trautmann",

year = "2021",

doi = "10.1007/s10994-021-06062-y",

language = "English",

volume = "110",

pages = "2991--2992",

journal = "Machine Learning",

issn = "0885-6125",

publisher = "Springer",

number = "10",

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TY - JOUR

T1 - Introduction to the special issue of the ECML PKDD 2021 journal track

AU - Appice, Annalisa

AU - Escalera, Sergio

AU - Gámez, Jose A.

AU - Trautmann, Heike

PY - 2021

Y1 - 2021

UR - http://www.scopus.com/inward/record.url?scp=85115800199&partnerID=8YFLogxK

U2 - 10.1007/s10994-021-06062-y

DO - 10.1007/s10994-021-06062-y

M3 - Editorial

AN - SCOPUS:85115800199

SN - 0885-6125

VL - 110

SP - 2991

EP - 2992

JO - Machine Learning

JF - Machine Learning

IS - 10

ER -

Introduction to the special issue of the ECML PKDD 2021 journal track

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