يعرض 2,501 - 2,520 نتائج من 9,050 نتيجة بحث عن 'significantly ((((((mean decrease) OR (larger decrease))) OR (teer decrease))) OR (we decrease))', وقت الاستعلام: 0.53s تنقيح النتائج
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    Neutrophil Superoxide anion production, Heat map for gene expression from neutrophils of CGD patients, and PCA plot for genome-wide gene expression. حسب Daniel R. Ambruso (12042605)

    منشور في 2025
    "…Bars and brackets represent mean ± SEM with the number of patients studied below. …"
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    S1 File - حسب Ingmar Lundquist (46422)

    منشور في 2025
    "…Additionally, the significance of extracellular NO on GSIS was studied. …"
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    Relationships between clay and quartz content, TOC, 2D-NMR solid OM, S<sub>1</sub>, 2D-NMR light oil and fractal dimensions. حسب Changjun Ji (18285907)

    منشور في 2024
    "…This results in the formation of larger dissolution pores within the carbonated minerals [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0309346#pone.0309346.ref043" target="_blank">43</a>], leading to a decrease in the fractal dimensions D<sub>1</sub> and D<sub>2</sub>. …"
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    Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML حسب Ayush Garg (21090944)

    منشور في 2025
    "…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …"
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    Fig 5 - حسب Torsten Schober (20485754)

    منشور في 2024
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    Fig 4 - حسب Torsten Schober (20485754)

    منشور في 2024
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    Fig 6 - حسب Torsten Schober (20485754)

    منشور في 2024
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    Serum metabolomic response to aging. حسب Gwangho Yoon (5771678)

    منشور في 2024
    "…<b>(B)</b> Metabolites that decreased with aging. Statistical significance is indicated in the heatmap with asterisks. …"
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    Fig 9 - حسب Torsten Schober (20485754)

    منشور في 2024
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