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  1. 1
    SCADET algorithm parameter configuration (Python implementation).

    SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

    Published 2025
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  2. 2
    Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’), followed by a word frequency count (‘Counter’).

    Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’... by Enock Niyonkuru (21246879)

    Published 2025
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  3. 3
    Text Transformation Pipeline: An example of the multi-stage text transformation pipeline applied to a sample abstract (PMID: 30609739).

    Text Transformation Pipeline: An example of the multi-stage text transformation pipeline applied to a sample abstract (PMID: 30609739). by Enock Niyonkuru (21246879)

    Published 2025
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  4. 4
    Python code for estimating parameters of an ALAAM model.

    Python code for estimating parameters of an ALAAM model. by Alex Stivala (8356257)

    Published 2024
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  5. 5
    Example change statistic implementations.

    Example change statistic implementations. by Alex Stivala (8356257)

    Published 2024
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  6. 6
    Python sript.

    Python sript. by Kan Jia (6438599)

    Published 2025
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  7. 7
    Python file of the computational framework.

    Python file of the computational framework. by Benoit Haut (9753029)

    Published 2025
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  8. 8
    Segmentation module training details.

    Segmentation module training details. by Khelina Fedorchuk (19130089)

    Published 2025
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  9. 9
    Models estimated using ALAAMEE for the Deezer networks, with liking jazz as the outcome variable.

    Models estimated using ALAAMEE for the Deezer networks, with liking jazz as the outcome variable. by Alex Stivala (8356257)

    Published 2024
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  10. 10
    Configurations used in ALAAMs for undirected networks.

    Configurations used in ALAAMs for undirected networks. by Alex Stivala (8356257)

    Published 2024
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  11. 11
    Type II error rate from estimation of simulated outcomes using the EE algorithm.

    Type II error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

    Published 2024
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  12. 12
    Comparison of MPNet and ALAAMEE software for ALAAM estimation.

    Comparison of MPNet and ALAAMEE software for ALAAM estimation. by Alex Stivala (8356257)

    Published 2024
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  13. 13
    ALAAM models for the Deezer networks, with liking “alternative” music as the outcome variable.

    ALAAM models for the Deezer networks, with liking “alternative” music as the outcome variable. by Alex Stivala (8356257)

    Published 2024
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  14. 14
    Configurations used in ALAAMs for directed networks.

    Configurations used in ALAAMs for directed networks. by Alex Stivala (8356257)

    Published 2024
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  15. 15
    Type I error rate from estimation of simulated outcomes using the EE algorithm.

    Type I error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

    Published 2024
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  16. 16
    Example ALAAMEE output.

    Example ALAAMEE output. by Alex Stivala (8356257)

    Published 2024
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  17. 17
    Type II error rate as the number of runs used for each sample is varied.

    Type II error rate as the number of runs used for each sample is varied. by Alex Stivala (8356257)

    Published 2024
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  18. 18
    Parameter estimates and estimated standard errors from the EE algorithm.

    Parameter estimates and estimated standard errors from the EE algorithm. by Alex Stivala (8356257)

    Published 2024
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  19. 19
    Network descriptive statistics for the Deezer networks.

    Network descriptive statistics for the Deezer networks. by Alex Stivala (8356257)

    Published 2024
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  20. 20
    Example ALAAMEE goodness-of-fit output.

    Example ALAAMEE goodness-of-fit output. by Alex Stivala (8356257)

    Published 2024
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