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classification model  (SoftMax Inc)

 
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    SoftMax Inc classification model
    Classification Model, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/classification model/product/SoftMax Inc
    Average 90 stars, based on 1 article reviews
    classification model - by Bioz Stars, 2026-05
    90/100 stars

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    Image Search Results


    The effects of asymmetric loss (ASL) and class confidence weights (CCW) on the class imbalance and weak annotation issues. (A) Results on the 11 categories with small sample sizes before and after using ASL. (B) Results of the prediction with and without using ASL or CCW. The red protein labels in the examples are not reflected in the shown single cells. Incorporating ASL and CCW enables the model to identify the categories of the single cells more accurately, even under weak annotation influence.

    Journal: Bioinformatics

    Article Title: Knowledge-enhanced protein subcellular localization prediction from 3D fluorescence microscope images

    doi: 10.1093/bioinformatics/btaf331

    Figure Lengend Snippet: The effects of asymmetric loss (ASL) and class confidence weights (CCW) on the class imbalance and weak annotation issues. (A) Results on the 11 categories with small sample sizes before and after using ASL. (B) Results of the prediction with and without using ASL or CCW. The red protein labels in the examples are not reflected in the shown single cells. Incorporating ASL and CCW enables the model to identify the categories of the single cells more accurately, even under weak annotation influence.

    Article Snippet: The results indicated that the most critical components in classification performance were the ASL and the 2D branch, and CCW has the most significant impact on the OpenCell dataset, which aligns closely with its weak annotation issue. shows that incorporating ASL has enhanced the accuracy for categories with small sample sizes, demonstrating that ASL could perform well in the class imbalance situation.

    Techniques: