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Showing 141 - 160 results of 697 for search '(((( element data algorithm ) OR ( alignment network algorithm ))) OR ( source code algorithm ))', query time: 0.45s Refine Results
  1. 141
    Sample data for <i>Lamprologus ocellatus</i>.

    Sample data for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  2. 142
    Comparison data 3 for <i>Lamprologus ocellatus</i>.

    Comparison data 3 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  3. 143
    Behavioral timelines for subject 9 from the sample data of <i>Neolamprologus multifasciatus</i> from the website (S1 Dataset).

    Behavioral timelines for subject 9 from the sample data of <i>Neolamprologus multifasciatus</i> from the website (S1 Dataset). by Nicolai Kraus (19949667)

    Published 2024
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  4. 144
    Sample data for <i>Telmatochromis temporalis</i>.

    Sample data for <i>Telmatochromis temporalis</i>. by Nicolai Kraus (19949667)

    Published 2024
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  5. 145
    Comparison data 4 for <i>Lamprologus ocellatus</i>.

    Comparison data 4 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  6. 146
    Comparison data 1 for <i>Lamprologus ocellatus</i>.

    Comparison data 1 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  7. 147
    Comparison data 1 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 1 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  8. 148
    Comparison data 7 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 7 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  9. 149
    Comparison data 3 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 3 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  10. 150
    Comparison data 2 for <i>Lamprologus ocellatus</i>.

    Comparison data 2 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  11. 151
    Comparison data 2 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 2 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  12. 152
    Comparison data 5 for <i>Lamprologus ocellatus</i>.

    Comparison data 5 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  13. 153
    Distance matrix from pairwise comparisons of behavior sequences of the two cichlid species <i>Neolamprologus multifasciatus</i> and <i>Lamprologus ocellatus</i> (S4–S17 Datasets), using the Network Portrait Divergence as distance measure.

    Distance matrix from pairwise comparisons of behavior sequences of the two cichlid species <i>Neolamprologus multifasciatus</i> and <i>Lamprologus ocellatus</i> (S4–S17 Datasets),... by Nicolai Kraus (19949667)

    Published 2024
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  14. 154
    Workflow visualization of the application, illustrating the required steps and exportable outputs.

    Workflow visualization of the application, illustrating the required steps and exportable outputs. by Nicolai Kraus (19949667)

    Published 2024
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  15. 155
    Comparison data 6 for <i>Lamprologus ocellatus</i>.

    Comparison data 6 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  16. 156
    Comparison data 5 for <i>Neolamprologus multifasciatus</i>.

    Comparison data 5 for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
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  17. 157
    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40).

    Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

    Published 2025
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  18. 158
    The relevant code used in this study.

    The relevant code used in this study. by Jiaxin Jiang (10656134)

    Published 2024
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  19. 159
    The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset.

    The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

    Published 2025
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  20. 160
    The run time for each algorithm in seconds.

    The run time for each algorithm in seconds. by Edward Antonian (21453161)

    Published 2025
    “…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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