يعرض 1 - 20 نتائج من 19,095 نتيجة بحث عن '(((( auc values decrease ) OR ( _ values increased ))) OR ( b large decrease ))', وقت الاستعلام: 0.63s تنقيح النتائج
  1. 1

    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" حسب Kira Shaw (18796168)

    منشور في 2025
    "…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …"
  2. 2
  3. 3

    ROC curve and AUC value of all models. حسب Tiago de Oliveira Barreto (20485207)

    منشور في 2024
    "…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …"
  4. 4
  5. 5

    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. حسب Gui Araujo (22170819)

    منشور في 2025
    "…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …"
  6. 6
  7. 7

    Feature engineering. حسب Youli Jiang (15249070)

    منشور في 2025
    الموضوعات:
  8. 8
  9. 9

    Changes in objective value for increasing hospital capacity. حسب Tingting Zhang (264633)

    منشور في 2025
    "…<p>Changes in objective value for increasing hospital capacity.</p>…"
  10. 10

    Normalized sensitivity indices of with increasing the parameter values. حسب Mian Imad Shah (22656439)

    منشور في 2025
    "…<p>Normalized sensitivity indices of with increasing the parameter values.</p>…"
  11. 11
  12. 12
  13. 13

    Table of objective values of feasible solutions by increasing value from top to bottom. حسب Hoang Minh Dang (22208489)

    منشور في 2025
    "…<p>Table of objective values of feasible solutions by increasing value from top to bottom.…"
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19

    AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre حسب Madeline Jarvis-Cross (22394247)

    منشور في 2025
    "…To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…"
  20. 20