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Reference changes · DOI

Anomaly detection in multivariate time series data using deep ensemble models,

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.

Retraction Crossref 2 open · 2 total · 0 disputed
DOI
10.1371/journal.pone.0303890
Notice DOI
10.1371/journal.pone.0326983
Event date
2025-07-01
Machine twin
JSON

01Notices on this DOI

02One-hop citing occurrences

Retraction Open
Uncertainty-Aware Ankle Exoskeleton Control

ref [26] · 2508.21221 · notice #8518 · dispute

Raw extraction · citation context

review on outlier/anomaly detection in time series data," Feb. 2020, arXiv:2002.04236 [cs]. [Online]. Available: http://arxiv.org/abs/2002. 04236 [26] A. Iqbal, R. Amin, F. S. Alsubaei, and A. Alzahrani, "Anomaly detection in multivariate time series data using deep ensemble models," PLOS ONE, vol. 19, no. 6, p. e0303890, Jun. 2024. [Online]. Available: https://dx.plos.org/10.1371/journal.pone.0303890 [27] G. Li and J. J. Jung, "Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges," Information Fusion, vol. 91, pp. 93-102, Mar. 2023. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S1566253522001774 [28] K. Choi, J. Yi, C. Park, and S. Yoon, "Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines,"
Retraction Open
Uncertainty-Aware Ankle Exoskeleton Control

ref [26] · 2508.21221 · notice #8516 · dispute

Raw extraction · citation context

review on outlier/anomaly detection in time series data," Feb. 2020, arXiv:2002.04236 [cs]. [Online]. Available: http://arxiv.org/abs/2002. 04236 [26] A. Iqbal, R. Amin, F. S. Alsubaei, and A. Alzahrani, "Anomaly detection in multivariate time series data using deep ensemble models," PLOS ONE, vol. 19, no. 6, p. e0303890, Jun. 2024. [Online]. Available: https://dx.plos.org/10.1371/journal.pone.0303890 [27] G. Li and J. J. Jung, "Deep learning for anomaly detection in multivariate time series: Approaches, applications, and challenges," Information Fusion, vol. 91, pp. 93-102, Mar. 2023. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S1566253522001774 [28] K. Choi, J. Yi, C. Park, and S. Yoon, "Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines,"

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