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Explainable artificial intelligence = first World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023 : proceedings.. Part II /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Explainable artificial intelligence/ edited by Luca Longo.
Reminder of title:
first World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023 : proceedings.
remainder title:
xAI 2023
other author:
Longo, Luca.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer Nature Switzerland : : 2023.,
Description:
xviii, 664 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence -
Online resource:
https://doi.org/10.1007/978-3-031-44067-0
ISBN:
9783031440670
Explainable artificial intelligence = first World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023 : proceedings.. Part II /
Explainable artificial intelligence
first World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023 : proceedings.Part II /[electronic resource] :xAI 2023edited by Luca Longo. - Cham :Springer Nature Switzerland :2023. - xviii, 664 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,19021865-0937 ;. - Communications in computer and information science ;311..
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.
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.
ISBN: 9783031440670
Standard No.: 10.1007/978-3-031-44067-0doiSubjects--Topical Terms:
671585
Artificial intelligence
LC Class. No.: Q334
Dewey Class. No.: 006.3
Explainable artificial intelligence = first World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023 : proceedings.. Part II /
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first World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023 : proceedings.
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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.
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