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RoCA: Robust Contrastive One-Class Time Series Anomaly Detection With Contaminated Data.

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Title: RoCA: Robust Contrastive One-Class Time Series Anomaly Detection With Contaminated Data.
Authors: Mou X, Wang R, Li B, Wo T, Sun J, Wang H, Liu X
Source: IEEE transactions on neural networks and learning systems [IEEE Trans Neural Netw Learn Syst] 2026 Jun 23; Vol. PP. Date of Electronic Publication: 2026 Jun 23.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineeers Country of Publication: United States NLM ID: 101616214 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2162-2388 (Electronic) Linking ISSN: 2162237X NLM ISO Abbreviation: IEEE Trans Neural Netw Learn Syst Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22101616214%22">IEEE transactions on neural networks and learning systems</searchLink> [IEEE Trans Neural Netw Learn Syst] 2026 Jun 23; Vol. PP. <i>Date of Electronic Publication: </i>2026 Jun 23.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TNNLS.2026.3702237
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      – Code: eng
        Text: English
    Titles:
      – TitleFull: RoCA: Robust Contrastive One-Class Time Series Anomaly Detection With Contaminated Data.
        Type: main
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      – PersonEntity:
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            NameFull: Mou X
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            NameFull: Wang R
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            NameFull: Wo T
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            NameFull: Sun J
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            NameFull: Wang H
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          Dates:
            – D: 23
              M: 06
              Text: 2026 Jun 23
              Type: published
              Y: 2026
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              Value: PP
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