PROBLEMS WITH SHAP AND LIME IN INTERPRETABLE AI FOR EDUCATION: A COMPARATIVE STUDY OF POST-HOC EXPLANATIONS AND NEURAL-SYMBOLIC RULE EXTRACTION

Problems With SHAP and LIME in Interpretable AI for Education: A Comparative Study of Post-Hoc Explanations and Neural-Symbolic Rule Extraction

Given that education is classified as a ‘high-risk’ domain under regulatory frameworks like the EU AI Act, ensuring accurate and trustworthy interpretability in educational AI applications is critical due to its profound impact on student learning rab fire rated wafer and development.This study compares a knowledge-based artificial ne

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The initiation of post-synaptic protrusions

The post-synaptic spines of salamander chameleon neuronal dendrites are highly elaborate membrane protrusions.Their anatomy, stability and density are intimately linked to cognitive performance.The morphological transitions of spines are powered by coordinated polymerization of actin filaments against the plasma membrane, but how the membrane-assoc

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Key Topics and Future Perspectives in Natural Hazards Research

Since early 2018 the “Natural Hazards” Section of Geosciences journal has aimed to publish pure, experimental, or applied research that is focused on advancing methodologies, technologies, expertise, and capabilities to detect, characterize, monitor, and model natural hazards and assess their associated risks.This stream of geoscientifi

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