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  • SpecialIssueEditorial-1-1 (1)

    Rights statement: This is the author’s version of a work that was accepted for publication in Information Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Sciences, 595, 2022 DOI: 10.1016/j.ins.2022.02.052

    Accepted author manuscript, 134 KB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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Editorial: Special issue on recent progress in autonomous machine learning

Research output: Contribution to Journal/Magazine › Editorial › peer-review

Published

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Editorial: Special issue on recent progress in autonomous machine learning. / Pratama, M.; Lughofer, E.; Angelov, P.P.
In: Information Sciences, Vol. 595, 31.05.2022, p. 195-196.

Research output: Contribution to Journal/Magazine › Editorial › peer-review

Harvard

Pratama, M, Lughofer, E & Angelov, PP 2022, 'Editorial: Special issue on recent progress in autonomous machine learning', Information Sciences, vol. 595, pp. 195-196. https://doi.org/10.1016/j.ins.2022.02.052

APA

Pratama, M., Lughofer, E., & Angelov, P. P. (2022). Editorial: Special issue on recent progress in autonomous machine learning. Information Sciences, 595, 195-196. https://doi.org/10.1016/j.ins.2022.02.052

Vancouver

Pratama M, Lughofer E, Angelov PP. Editorial: Special issue on recent progress in autonomous machine learning. Information Sciences. 2022 May 31;595:195-196. Epub 2022 Mar 4. doi: 10.1016/j.ins.2022.02.052

Author

Pratama, M. ; Lughofer, E. ; Angelov, P.P. / Editorial: Special issue on recent progress in autonomous machine learning. In: Information Sciences. 2022 ; Vol. 595. pp. 195-196.

Bibtex

@article{1b7f07739cdd48f2a32f970024d9ec4c,
title = "Editorial: Special issue on recent progress in autonomous machine learning",
author = "M. Pratama and E. Lughofer and P.P. Angelov",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Information Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Sciences, 595, 2022 DOI: 10.1016/j.ins.2022.02.052",
year = "2022",
month = may,
day = "31",
doi = "10.1016/j.ins.2022.02.052",
language = "English",
volume = "595",
pages = "195--196",
journal = "Information Sciences",
issn = "0020-0255",
publisher = "Elsevier Inc.",

}

RIS

TY - JOUR

T1 - Editorial: Special issue on recent progress in autonomous machine learning

AU - Pratama, M.

AU - Lughofer, E.

AU - Angelov, P.P.

N1 - This is the author’s version of a work that was accepted for publication in Information Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Information Sciences, 595, 2022 DOI: 10.1016/j.ins.2022.02.052

PY - 2022/5/31

Y1 - 2022/5/31

U2 - 10.1016/j.ins.2022.02.052

DO - 10.1016/j.ins.2022.02.052

M3 - Editorial

VL - 595

SP - 195

EP - 196

JO - Information Sciences

JF - Information Sciences

SN - 0020-0255

ER -