Explainable Artificial Intelligence [electronic resource] : First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part II / edited by Luca Longo.

Contributor(s):

Longo, Luca [editor.]

Material type: Text

TextLanguage: English Series: Publication details: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.Edition: 1st ed. 2023Description: XVIII, 664 p. 193 illus., 176 illus. in color. online resourceISBN:

9783031440670

Subject(s):

DDC classification:

006.3 23

Online resources:

Click Here

Contents:

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.

Summary: 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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Holdings
Item type	Current library	Call number	Materials specified	Status	Date due	Barcode	Item holds
E-Books	National Library of India Online Resource	006.3 (Browse shelf(Opens below))		Available		EBK000046733ENG

Total holds: 0

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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