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001482584 001__ 1482584
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001482584 005__ 20231128003342.0
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001482584 020__ $$a9783031440700$$q(electronic bk.)
001482584 020__ $$a3031440706$$q(electronic bk.)
001482584 020__ $$z9783031440694
001482584 0247_ $$a10.1007/978-3-031-44070-0$$2doi
001482584 035__ $$aSP(OCoLC)1405845047
001482584 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dOCLCO
001482584 049__ $$aISEA
001482584 050_4 $$aQ334
001482584 08204 $$a006.3$$223/eng/20231024
001482584 1112_ $$aWorld Conference on Explainable Artificial Intelligence$$n(1st :$$d2023 :$$cLisbon, Portugal).
001482584 24510 $$aExplainable artificial intelligence :$$bFirst World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, proceedings.$$nPart III /$$cLuca Longo, editor.
001482584 24630 $$axAI 2023
001482584 264_1 $$aCham :$$bSpringer,$$c[2023]
001482584 264_4 $$c©2023
001482584 300__ $$a1 online resource (xvii, 540 pages) :$$billustrations (chiefly color).
001482584 336__ $$atext$$btxt$$2rdacontent
001482584 337__ $$acomputer$$bc$$2rdamedia
001482584 338__ $$aonline resource$$bcr$$2rdacarrier
001482584 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1903
001482584 500__ $$aInternational conference proceedings.
001482584 500__ $$aIncludes author index.
001482584 5050_ $$axAI for time series and Natural Language Processing -- Human-centered explanations and xAI for Trustworthy and Responsible AI -- Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI.
001482584 506__ $$aAccess limited to authorized users.
001482584 520__ $$aThis three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: 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. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI.
001482584 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 24, 2023).
001482584 650_6 $$aIntelligence artificielle$$vCongrès.
001482584 650_0 $$aArtificial intelligence$$vCongresses.$$xMedical applications$$0(DLC)sh 88003000
001482584 655_0 $$aElectronic books.
001482584 655_7 $$aproceedings (reports)$$2aat
001482584 655_7 $$aConference papers and proceedings$$2fast
001482584 655_7 $$aConference papers and proceedings.$$2lcgft
001482584 655_7 $$aActes de congrès.$$2rvmgf
001482584 7001_ $$aLongo, Luca,$$eeditor.
001482584 830_0 $$aCommunications in computer and information science ;$$v1903.$$x1865-0937
001482584 852__ $$bebk
001482584 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44070-0$$zOnline Access$$91397441.1
001482584 909CO $$ooai:library.usi.edu:1482584$$pGLOBAL_SET
001482584 980__ $$aBIB
001482584 980__ $$aEBOOK
001482584 982__ $$aEbook
001482584 983__ $$aOnline
001482584 994__ $$a92$$bISE