3 items found

Types: Method Groups: Social Impact of AI and explainable ML Tags: Explainability

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  • Method

    GLocalX - Explaining in a Local to Global setting

    GLocalX is a model-agnostic Local to Global explanation algorithm. Given a set of local explanations expressed in the form of decision rules, and a black-box model to explain,...
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  • Method

    XAI Method for explaining time-series

    LASTS is a framework that can explain the decisions of black box models for time series classification. The explanation consists of factual and counterfactual rules revealing...
  • Method

    TriplEx - Explaining with Triples

    TRIPLEX is an explainability package for Transformer-based models fine-tuned on Natural Language Inference, Semantic Text Similarity, or Text Classification tasks. TRIPLEX...
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