Showing 121 - 140 results of 178,257 for search '(( significantly used based ) OR ( significant ((teer decrease) OR (a decrease)) ))', query time: 3.86s Refine Results
  1. 121
  2. 122
  3. 123
  4. 124

    Table_1_High-Intensity Use of Smartphone Can Significantly Increase the Diagnostic Rate and Severity of Dry Eye.XLS by Chunyang Wang (500547)

    Published 2022
    “…After 2 h of continuous reading, NIBUT-First, NIBUT-Average and FBUT-Average were significantly decreased, while the proportion of BUT ≤ 5 s increased significantly. …”
  5. 125
  6. 126

    Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

    Published 2024
    “…(b) Graph depicting the relative contribution of predictor variables to the all-variable XGBoost model for the <i>significant illness</i> binary. ‘Importance’ represents fractional contribution of each feature to the model, based on the total gain from including each feature; ‘cover’ represents the number of observations related to this feature in the model); ‘frequency’ represents the relative number of times a feature has been used in trees). …”
  7. 127
  8. 128
  9. 129
  10. 130
  11. 131
  12. 132
  13. 133
  14. 134
  15. 135
  16. 136
  17. 137
  18. 138
  19. 139
  20. 140