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Explainable Artificial Intelligence : First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I / / edited by Luca Longo



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Autore: Longo Luca Visualizza persona
Titolo: Explainable Artificial Intelligence : First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I / / edited by Luca Longo Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (711 pages)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Natural language processing (Computer science)
Application software
Computer networks
Artificial Intelligence
Natural Language Processing (NLP)
Computer and Information Systems Applications
Computer Communication Networks
Nota di contenuto: 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.
Sommario/riassunto: This 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.
Titolo autorizzato: Explainable Artificial Intelligence  Visualizza cluster
ISBN: 3-031-44064-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910755085003321
Lo trovi qui: Univ. Federico II
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Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 1901