Showing 1,161 - 1,180 results of 21,342 for search '(( significant decrease decrease ) OR ( significance ((step decrease) OR (greater decrease)) ))', query time: 0.57s Refine Results
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    S1 File - by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
  16. 1176

    Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
  17. 1177

    Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
  18. 1178

    Student model architecture. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
  19. 1179

    Configuration of the LastBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
  20. 1180

    Confusion matrix for DistilBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”