001482739 000__ 03663cam\\22005657i\4500
001482739 001__ 1482739
001482739 003__ OCoLC
001482739 005__ 20231128003349.0
001482739 006__ m\\\\\o\\d\\\\\\\\
001482739 007__ cr\cn\nnnunnun
001482739 008__ 231031s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001482739 019__ $$a1405898974$$a1405899624
001482739 020__ $$a9783031440649$$qelectronic book
001482739 020__ $$a3031440641$$qelectronic book
001482739 020__ $$z9783031440632
001482739 020__ $$z3031440633
001482739 0247_ $$a10.1007/978-3-031-44064-9$$2doi
001482739 035__ $$aSP(OCoLC)1406843088
001482739 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCO
001482739 049__ $$aISEA
001482739 050_4 $$aQ334$$b.E97 2023
001482739 08204 $$a006.3$$223/eng/20231031
001482739 1112_ $$aWorld Conference on eXplainable Artificial Intelligence$$n(1st :$$d2023 :$$cLisbon, Portugal)
001482739 24510 $$aExplainable artificial intelligence :$$bfirst World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings.$$nPart I /$$cLuca Longo, editor.
001482739 2463_ $$axAI 2023
001482739 264_1 $$aCham :$$bSpringer,$$c2023.
001482739 300__ $$a1 online resource (xxv, 692 pages) :$$billustrations (some color).
001482739 336__ $$atext$$btxt$$2rdacontent
001482739 337__ $$acomputer$$bc$$2rdamedia
001482739 338__ $$aonline resource$$bcr$$2rdacarrier
001482739 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1901
001482739 500__ $$aIncludes author index.
001482739 5050_ $$aInterdisciplinary 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.
001482739 506__ $$aAccess limited to authorized users.
001482739 520__ $$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.
001482739 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 31, 2023).
001482739 650_6 $$aIntelligence artificielle$$vCongrès.
001482739 650_0 $$aArtificial intelligence$$vCongresses.$$xMedical applications$$0(DLC)sh 88003000
001482739 655_0 $$aElectronic books.
001482739 7001_ $$aLongo, Luca,$$eeditor.$$1https://orcid.org/0000-0002-2718-5426
001482739 77608 $$iPrint version: $$z3031440633$$z9783031440632$$w(OCoLC)1393301366
001482739 830_0 $$aCommunications in computer and information science ;$$v1901.$$x1865-0937
001482739 852__ $$bebk
001482739 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44064-9$$zOnline Access$$91397441.1
001482739 909CO $$ooai:library.usi.edu:1482739$$pGLOBAL_SET
001482739 980__ $$aBIB
001482739 980__ $$aEBOOK
001482739 982__ $$aEbook
001482739 983__ $$aOnline
001482739 994__ $$a92$$bISE