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  MultiSegVA: Using visual analytics to segment biologging time series on multiple scales

Meschenmoser, P., Buchmuller, J. F., Seebacher, D., Wikelski, M., & Keim, D. A. (2021). MultiSegVA: Using visual analytics to segment biologging time series on multiple scales. IEEE Transactions on Visualization and Computer Graphics, 27(2), 1623-1633. doi:10.1109/tvcg.2020.3030386.

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Genre: Journal Article

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 Creators:
Meschenmoser, P., Author
Buchmuller, J. F., Author
Seebacher, D., Author
Wikelski, Martin1, Author              
Keim, D. A., Author
Affiliations:
1Department of Migration, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3054975              

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 Dates: 2021-02-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: WOS:000613746500125
DOI: 10.1109/tvcg.2020.3030386
ISSN: 1077-2626
 Degree: -

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Title: IEEE Transactions on Visualization and Computer Graphics
Source Genre: Journal
 Creator(s):
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Publ. Info: New York, NY : IEEE Computer Society
Pages: - Volume / Issue: 27 (2) Sequence Number: - Start / End Page: 1623 - 1633 Identifier: ISSN: 1077-2626
CoNE: https://pure.mpg.de/cone/journals/resource/954925605807