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Algorithms
Volume 17
Issue 9
10.3390/a17090392
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Correction to Algorithms 2024, 17(3), 114.
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Correction

Correction: Reshadi et al. Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. Algorithms 2024, 17, 114

by
MohammadHossein Reshadi
1,
Wen Li
1,
Wenjie Xu
1,
Precious Omashor
1,
Albert Dinh
1,
Jun Xiao
1,
Scott Dick
1,*,
Yuntong She
2 and
Michael Lipsett
3
1
Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
2
Department of Civil Engineering, University of Alberta Edmonton, Edmonton, AB T6G 1H9, Canada
3
Department of Mechanical Engineering, University of Alberta Edmonton, Edmonton, AB T6G 1H9, Canada
*
Author to whom correspondence should be addressed.
Algorithms 2024, 17(9), 392; https://doi.org/10.3390/a17090392
Submission received: 13 August 2024 / Accepted: 15 August 2024 / Published: 5 September 2024
Versions Notes
The authors wish to make the following correction to their paper [1]:
Jun Xiao was not included as an author in the original publication. The newly added author information is as follows:
 
Jun Xiao 1
1
Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada; [email protected] (J.X.)
The corrected Author Contributions statement appears here. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Author Contributions

M.R.: Investigation, Writing—Original Draft; W.L.: Investigation, Writing—Original Draft; W.X.: Investigation, Writing—Original Draft; P.O.: Investigation, Writing—Original Draft; A.D.: Investigation; J.X.: Investigation; S.D.: Conceptualization, Methodology, Supervision, Writing—Original Draft; Y.S.: Conceptualization, Methodology, Supervision, Writing—Review and Editing; M.L.: Conceptualization, Methodology, Supervision, Writing—Review and Editing. All authors have read and agreed to the published version of the manuscript.

Reference

  1. Reshadi, M.; Li, W.; Xu, W.; Omashor, P.; Dinh, A.; Xiao, J.; Dick, S.; She, Y.; Lipsett, M. Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. Algorithms 2024, 17, 114. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Reshadi, M.; Li, W.; Xu, W.; Omashor, P.; Dinh, A.; Xiao, J.; Dick, S.; She, Y.; Lipsett, M. Correction: Reshadi et al. Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. Algorithms 2024, 17, 114. Algorithms 2024, 17, 392. https://doi.org/10.3390/a17090392

AMA Style

Reshadi M, Li W, Xu W, Omashor P, Dinh A, Xiao J, Dick S, She Y, Lipsett M. Correction: Reshadi et al. Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. Algorithms 2024, 17, 114. Algorithms. 2024; 17(9):392. https://doi.org/10.3390/a17090392

Chicago/Turabian Style

Reshadi, MohammadHossein, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Jun Xiao, Scott Dick, Yuntong She, and Michael Lipsett. 2024. "Correction: Reshadi et al. Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series. Algorithms 2024, 17, 114" Algorithms 17, no. 9: 392. https://doi.org/10.3390/a17090392

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