Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I
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.
1144032391
Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I
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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Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I

Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I

Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I

Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I

eBook1st ed. 2023 (1st ed. 2023)

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Overview

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.

Product Details

ISBN-13: 9783031440649
Publisher: Springer-Verlag New York, LLC
Publication date: 10/29/2023
Series: Communications in Computer and Information Science , #1901
Sold by: Barnes & Noble
Format: eBook
File size: 86 MB
Note: This product may take a few minutes to download.

Table of Contents

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.
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