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Showing 101 - 120 results of 6,728 for search '(( alignment network algorithm ) OR ((( data code algorithm ) OR ( data learning algorithm ))))', query time: 0.29s Refine Results
  1. 101
    Code for Most Likely Paths Calculation_ERP

    Code for Most Likely Paths Calculation_ERP by Mengqi Yang (21263402)

    Published 2025
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  2. 102
    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived from the 3-level wavelet transform (WT) at four resolutions. These features were used as inputs for traditional ML algorithms. The left map demonstrates the correlation matrix of 52 features crafted from 4 resolutions of the 3-level WT, which are used as inputs for traditional ML algorithms. The heat map (on the right) is the correlation matrix after feature selection, in which features whose Pearson’s correlation coefficient is higher than 0.8 are considered highly correlated. We keep only one representative feature and remove its highly correlated features.

    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... by Quang Dung Dinh (20995766)

    Published 2025
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  3. 103
    UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms.

    UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. by Fatemeh Keikha (20917848)

    Published 2025
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  4. 104
    pythonProject from Associative-memory network of Winfree-type oscillators and binary pattern retrieval: theory and algorithm

    pythonProject from Associative-memory network of Winfree-type oscillators and binary pattern retrieval: theory and algorithm by Zhuchun Li (22006717)

    Published 2025
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  5. 105
    Access control pseudo-code.

    Access control pseudo-code. by Yonggang Huang (223155)

    Published 2025
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  6. 106
    Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm.

    Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

    Published 2024
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  7. 107
    PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers.

    PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. by Gursimran Singh (575288)

    Published 2025
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  8. 108
    Data_File_1_Q_Learning in IsOWC system.csv

    Data_File_1_Q_Learning in IsOWC system.csv by Subhash Suman (20854010)

    Published 2025
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  9. 109
    Comparison of the EODA algorithm with existing algorithms in terms of recall.

    Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

    Published 2025
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  10. 110
    Comparison of the EODA algorithm with existing algorithms in terms of precision.

    Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

    Published 2025
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  11. 111
    On selecting robust approaches for learning predictive biomarkers in metabolomics datasets

    On selecting robust approaches for learning predictive biomarkers in metabolomics datasets by Thibaud Godon (22093274)

    Published 2025
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  12. 112
    source code of the PyMatterSim package

    source code of the PyMatterSim package by Y.-C. Hu (21440990)

    Published 2025
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  13. 113
    Classification results of deep learning algorithms on N-gram features.

    Classification results of deep learning algorithms on N-gram features. by Daowei Chen (9077770)

    Published 2025
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  14. 114
    Classification results of machine learning algorithms on N-gram features.

    Classification results of machine learning algorithms on N-gram features. by Daowei Chen (9077770)

    Published 2025
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  15. 115
    Hyperparameters of self-supervised learning algorithms used in Experiments 1–5.

    Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

    Published 2024
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  16. 116
    Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks.

    Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. by Agata Skorupka (20469080)

    Published 2024
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  17. 117
    Parameters corresponding to different algorithms.

    Parameters corresponding to different algorithms. by Renjie Li (1863280)

    Published 2025
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  18. 118
    Initialization Algorithm.

    Initialization Algorithm. by Ruizhi Yuan (16864629)

    Published 2025
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  19. 119
    Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback.

    Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

    Published 2025
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  20. 120
    PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity measures.

    PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... by Gursimran Singh (575288)

    Published 2025
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