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Showing 1 - 14 results of 14 for search '(("using evolutionary algorithm") OR ("clustering recognition algorithms"))', query time: 0.40s Refine Results
  1. 1
    Distributions of <i>PIN</i> nodes in the <i>Z-P</i> plane obtained when the <i>CNM</i> and <i>infomap</i> clusterization were considered are shown in left and right panels respectively.

    Distributions of <i>PIN</i> nodes in the <i>Z-P</i> plane obtained when the <i>CNM</i> and <i>infomap</i> clusterization were considered are shown in left and right panels respecti... by Ariel José Berenstein (719603)

    Published 2015
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  2. 2
    The Biological Homogeneity Index, <i>BHI</i>, estimated for each of the 8 CNM largest communities, is depicted as red points (CNM clusters are ordered according decreasing size).

    The Biological Homogeneity Index, <i>BHI</i>, estimated for each of the 8 CNM largest communities, is depicted as red points (CNM clusters are ordered according decreasing size). by Ariel José Berenstein (719603)

    Published 2015
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  3. 3
    Analysis of cluster partitions obtained with <i>CNM</i> (circles) and <i>infomap</i> (empty squares) methodologies.

    Analysis of cluster partitions obtained with <i>CNM</i> (circles) and <i>infomap</i> (empty squares) methodologies. by Ariel José Berenstein (719603)

    Published 2015
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  4. 4
    ROC curves for ARG genes based on node’s <i>infomap-</i>participation, <i>CNM-</i>participation, degree, bridge-centrality and betweenness feature levels are shown as solid black, orange dashed, blue dotted-dashed, dotted-dashed red and green dashed lines respectively.

    ROC curves for ARG genes based on node’s <i>infomap-</i>participation, <i>CNM-</i>participation, degree, bridge-centrality and betweenness feature levels are shown as solid black,... by Ariel José Berenstein (719603)

    Published 2015
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  5. 5
    Summary of Fisher statistical association test between the ARG set and cartographic role assignments.

    Summary of Fisher statistical association test between the ARG set and cartographic role assignments. by Ariel José Berenstein (719603)

    Published 2015
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  6. 6
    Mining the Modular Structure of Protein Interaction Networks

    Mining the Modular Structure of Protein Interaction Networks by Ariel José Berenstein (719603)

    Published 2015
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  7. 7
    Convergence plots for solving IM for p2p-Gnutella06_uni_1-1000_uni_0.75-1 via (1 + 1)-WEA.

    Convergence plots for solving IM for p2p-Gnutella06_uni_1-1000_uni_0.75-1 via (1 + 1)-WEA. by Alexander Andreev (16822333)

    Published 2025
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  8. 8
    Example of a Synchronous Boolean Network with 4 vertices and its State Transition Graph.

    Example of a Synchronous Boolean Network with 4 vertices and its State Transition Graph. by Alexander Andreev (16822333)

    Published 2025
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  9. 9
    Results on the comparison of evolutionary and greedy algorithms with exact solution.

    Results on the comparison of evolutionary and greedy algorithms with exact solution. by Alexander Andreev (16822333)

    Published 2025
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  10. 10
    Convergence plots for solving TSS for SNAP networks.

    Convergence plots for solving TSS for SNAP networks. by Alexander Andreev (16822333)

    Published 2025
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  11. 11
    Results on solving TSS using (1 + 1)-WEA_v3 with different values of <i>Q.</i>

    Results on solving TSS using (1 + 1)-WEA_v3 with different values of <i>Q.</i> by Alexander Andreev (16822333)

    Published 2025
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  12. 12
    Comparison of the set found when solving IM for <i>k</i> = 19 by the greedy algorithm (left) and the one found by (1 + 1)-WEA for a network with <i>n</i> = 50 vertices.

    Comparison of the set found when solving IM for <i>k</i> = 19 by the greedy algorithm (left) and the one found by (1 + 1)-WEA for a network with <i>n</i> = 50 vertices. by Alexander Andreev (16822333)

    Published 2025
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  13. 13
    Results on solving TSS using different evolutionary and greedy algorithms.

    Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

    Published 2025
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  14. 14
    Illustration of how (1 + 1)-WEA_v3 improves the target set when solving TSS.

    Illustration of how (1 + 1)-WEA_v3 improves the target set when solving TSS. by Alexander Andreev (16822333)

    Published 2025
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