113941 (Trending • Manual)

: These models often require large datasets and can be sensitive to "adversarial noise" (small character-level changes that fool the AI).

: The paper introduces Confident Itemsets Explanation (CIE) , a model-agnostic method that identifies sets of features (words or tokens) that strongly influence a model's prediction. 113941

The identifier refers to a specific research article titled "Post-hoc explanation of black-box classifiers using confident itemsets" , published in the journal Expert Systems with Applications (Volume 165, March 2021). Key Details of the Research Authors : Milad Moradi and Matthias Samwald. : These models often require large datasets and

: Sentiment analysis of customer reviews, biomedical literature summarization, and disease-treatment classification. biomedical literature summarization