A new article outlines three techniques for enhancing AI model interpretability—SHAP, LIME, and Integrated Gradients—applied to a customer churn model, emphasizing the EU AI Act's Article 13 requireme…
Researchers proposed a training-time explainability framework that aligns model reasoning with human-annotated rationales, improving both classification performance and interpretability for multilingu…
Researchers introduced BERT-LER, a BERT-style model for coded electronic health records (EHRs) that encodes laboratory test results as discrete tokens via percentile-based binning and integrates Integ…
A new arXiv preprint (2608.06486) proposes Signed Integrated Gradients attribution for feature-tokenized transformers such as BiomeGPT, addressing limitations of nonnegative attention weights that can…
A developer demonstrates how to train an LSTM on daily temperature data and apply three explainability methods—permutation importance, SHAP, and Integrated Gradients—to interpret the model's predictio…