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Pairwise statistical comparisons of multiple algorithms

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Acknowledgements

The authors wish to thank the associate editor and anonymous reviewers for their helpful comments and suggestions. This work was supported by the National Natural Science Foundation of China (62306131, 62225602), the Fundamental Research Funds for the Central Universities, and the Red Willow Outstanding Youth Talent Support Program of Lanzhou University of Technology.

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China

    Bin-Bin Jia & Jun-Ying Liu

  2. School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China

    Min-Ling Zhang

  3. Key Laboratory of New Generation Artificial Intelligence Technology & Its Interdisciplinary Applications (Ministry of Education), Southeast University, Nanjing, 210096, China

    Bin-Bin Jia

Authors
  1. Bin-Bin Jia
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  2. Jun-Ying Liu
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  3. Min-Ling Zhang
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Corresponding author

Correspondence to Jun-Ying Liu.

Ethics declarations

Competing interests Min-Ling ZHANG is an Action Editor of the journal and a co-author of this article. To minimize bias, he was excluded from all editorial decision-making related to the acceptance of this article for publication. The remaining authors declare no conflict of interest.

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Jia, BB., Liu, JY. & Zhang, ML. Pairwise statistical comparisons of multiple algorithms. Front. Comput. Sci. 19, 1912372 (2025). https://doi.org/10.1007/s11704-025-41325-0

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  • DOI: https://doi.org/10.1007/s11704-025-41325-0