يعرض 1 - 20 نتائج من 748 نتيجة بحث عن '(( learning ((e decrease) OR (we decrease)) ) OR ( ct ((largest decrease) OR (marked decrease)) ))', وقت الاستعلام: 0.62s تنقيح النتائج
  1. 1

    Overview of the WeARTolerance program. حسب Ana Beato (20489933)

    منشور في 2024
    "…The quantitative results from Phase 1 demonstrated a decreasing trend in all primary outcomes. In phase 2, participants acknowledged the activities’ relevance, reported overall satisfaction with the program, and showed great enthusiasm and willingness to learn more. …"
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13

    Using Environmental Mixture Exposure-Triggered Biological Knowledge-Driven Machine Learning to Predict Early Pregnancy Loss حسب Mengyuan Ren (14724676)

    منشور في 2025
    "…The GO-integrated model, with an area under the curve (AUC) of 0.876, outperformed others (AUC = 0.819), even when the sample size decreased to 60% of the total. Additionally, this framework deciphered critical exposures (e.g., serum selenium and chromium) and biological perturbations (e.g., cell population proliferation and apoptotic nuclear changes), linking mixture exposure to EPL. …"
  14. 14

    Passive sensing data. حسب Thierry Jean (20691795)

    منشور في 2025
    "…The CrossCheck dataset includes 6,364 mental state surveys using 4-point ordinal rating scales and 23,551 days of smartphone sensor data contributed by patients with schizophrenia. We trained 120 machine learning models to forecast 10 mental states (e.g., Calm, Depressed, Seeing things) from passive sensor data on 2 predictive tasks (ordinal regression, binary classification) with 2 learning algorithms (XGBoost, LSTM) over 3 forecast horizons (same day, next day, next week). …"
  15. 15

    Surveys. حسب Thierry Jean (20691795)

    منشور في 2025
    "…The CrossCheck dataset includes 6,364 mental state surveys using 4-point ordinal rating scales and 23,551 days of smartphone sensor data contributed by patients with schizophrenia. We trained 120 machine learning models to forecast 10 mental states (e.g., Calm, Depressed, Seeing things) from passive sensor data on 2 predictive tasks (ordinal regression, binary classification) with 2 learning algorithms (XGBoost, LSTM) over 3 forecast horizons (same day, next day, next week). …"
  16. 16
  17. 17
  18. 18

    Barbie audit data. حسب Cylie Williams (3446018)

    منشور في 2025
    الموضوعات:
  19. 19
  20. 20