Explainable Artificial Intelligence (eBook, PDF)

First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part II
Redaktion: Longo, Luca

• Format: PDF

Produktbeschreibung

Chapters "Finding Spurious Correlations with Function-Semantic Contrast Analysis" and "Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 664
• Erscheinungstermin: 20. Oktober 2023
• Englisch
• ISBN-13: 9783031440670
• Artikelnr.: 69974986

Inhaltsangabe

Surveys, benchmarks, visual representations and applications for xAI.- xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks.- Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems.