6 items found

Tags: Explainable AI

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  • JournalArticle

    Evaluating local explanation methods on ground truth

    Evaluating local explanation methods is a difficult task due to the lack of a shared and universally accepted definition of explanation. In the literature, one of the most...
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  • JournalArticle

    GLocalX-From Local to Global Explanations of Black Box AI Models

    Artificial Intelligence (AI) has come to prominence as one of the major components of our society, with applications in most aspects of our lives. In this field, complex and...
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  • ConferencePaper

    Explaining Any Time Series Classifier

    We present a method to explain the decisions of black box models for time series classification. The explanation consists of factual and counterfactual shapelet-based rules...
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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...
  • Method

    GLocalX-C

    A Python library to explain machine learning models by hierarchically aggregating single explanations of its predictions. Explanations are provided as decision rules...
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