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Showing 941 - 960 results of 6,748 for search '(( elements method algorithm ) OR ((( data code algorithm ) OR ( based learning algorithm ))))', query time: 0.42s Refine Results
  1. 941
    Data Sheet 3_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip

    Data Sheet 3_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip by Cong Peng (160287)

    Published 2025
    “…This study sought to create a robust, interpretable machine learning-based model that predicts 1-, 3-, and 5-year survival in patients with extremely aggressive prostate cancer. …”
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  2. 942
    Data Sheet 2_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip

    Data Sheet 2_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip by Cong Peng (160287)

    Published 2025
    “…This study sought to create a robust, interpretable machine learning-based model that predicts 1-, 3-, and 5-year survival in patients with extremely aggressive prostate cancer. …”
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  3. 943
    Data Sheet 4_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip

    Data Sheet 4_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip by Cong Peng (160287)

    Published 2025
    “…This study sought to create a robust, interpretable machine learning-based model that predicts 1-, 3-, and 5-year survival in patients with extremely aggressive prostate cancer. …”
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  4. 944
    Data Sheet 6_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.docx

    Data Sheet 6_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.docx by Cong Peng (160287)

    Published 2025
    “…This study sought to create a robust, interpretable machine learning-based model that predicts 1-, 3-, and 5-year survival in patients with extremely aggressive prostate cancer. …”
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  5. 945
    Data Sheet 1_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.pdf

    Data Sheet 1_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.pdf by Cong Peng (160287)

    Published 2025
    “…This study sought to create a robust, interpretable machine learning-based model that predicts 1-, 3-, and 5-year survival in patients with extremely aggressive prostate cancer. …”
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  6. 946
    Transition from static to dynamic malware detection

    Transition from static to dynamic malware detection by Paul A. Gagniuc (1818325)

    Published 2025
    Subjects:
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  7. 947
    Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms

    Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

    Published 2025
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  8. 948
    Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms

    Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

    Published 2025
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  9. 949
    NRI Comparison between Machine Learning Methods and RPCE.

    NRI Comparison between Machine Learning Methods and RPCE. by Sazzli Kasim (11218558)

    Published 2025
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  10. 950
    NRI Comparison between Machine Learning Methods and FRS.

    NRI Comparison between Machine Learning Methods and FRS. by Sazzli Kasim (11218558)

    Published 2025
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  11. 951
    Image 2_Enhancing COVID-19 classification of X-ray images with hybrid deep transfer learning models.jpg

    Image 2_Enhancing COVID-19 classification of X-ray images with hybrid deep transfer learning models.jpg by Maliki Moustapha (22419664)

    Published 2025
    “…We tested a Kaggle dataset with more than 5,000 samples and found ResNet18 to be the best model based on genetic algorithm-based hyperparameter selection. …”
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  12. 952
    Image 1_Enhancing COVID-19 classification of X-ray images with hybrid deep transfer learning models.jpg

    Image 1_Enhancing COVID-19 classification of X-ray images with hybrid deep transfer learning models.jpg by Maliki Moustapha (22419664)

    Published 2025
    “…We tested a Kaggle dataset with more than 5,000 samples and found ResNet18 to be the best model based on genetic algorithm-based hyperparameter selection. …”
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  13. 953
    SVR and MLPR algorithm flow optimized by GridSearchCV.

    SVR and MLPR algorithm flow optimized by GridSearchCV. by Jintao Li (448681)

    Published 2024
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  14. 954
    Table 5_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls

    Table 5_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls by Ming Xie (420493)

    Published 2024
    “…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …”
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  15. 955
    Table 8_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls

    Table 8_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls by Ming Xie (420493)

    Published 2024
    “…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …”
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  16. 956
    Table 7_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls

    Table 7_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls by Ming Xie (420493)

    Published 2024
    “…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …”
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  17. 957
    Table 4_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls

    Table 4_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls by Ming Xie (420493)

    Published 2024
    “…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …”
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  18. 958
    Table 6_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls

    Table 6_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls by Ming Xie (420493)

    Published 2024
    “…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …”
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  19. 959
    Table 3_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls

    Table 3_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls by Ming Xie (420493)

    Published 2024
    “…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …”
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  20. 960
    Table 2_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls

    Table 2_Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.xls by Ming Xie (420493)

    Published 2024
    “…By intersecting the result of 3 machine learning algorithms and WGCNA, 3 feature genes were identified, including MRAP2, PPP1R14A, and PLN genes. …”
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