Showing 61 - 80 results of 1,365 for search '(( third ((((a decrease) OR (larger decrease))) OR (nn decrease)) ) OR ( learning based decrease ))', query time: 0.55s Refine Results
  1. 61

    Table5_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

    Published 2024
    “…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”
  2. 62

    Table3_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

    Published 2024
    “…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”
  3. 63

    Table7_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

    Published 2024
    “…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”
  4. 64

    Table1_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.DOCX by J. Riera-Arnau (20431328)

    Published 2024
    “…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”
  5. 65

    The calcitron model and calcium-based plasticity rules. by Toviah Moldwin (10866708)

    Published 2025
    “…<b>(H)</b> Fixed points (black) and learning rates (pink) in the asymptotic fixed point – learning rate (FPLR) version of the calcium control hypothesis. …”
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  7. 67

    Data Sheet 1_A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers.pdf by Ephrem Tibebe Mekonnen (19710493)

    Published 2024
    “…The methodology involves two major phases: (1) training and evaluating deep-learning-based time series classification models, and (2) extracting parameterized primitive events, such as increasing, decreasing, local max and local min, from each instance of the evaluation set and clustering such events to extract prototypical ones. …”
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