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OCoLC |
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20241006213017.0 |
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|a 9783031440670
|q (electronic bk.)
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|a 3031440676
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|a 10.1007/978-3-031-44067-0
|2 doi
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2 |
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|a World Conference on Explainable Artificial Intelligence
|n (1st :
|d 2023 :
|c Lisbon, Portugal).
|
| 245 |
1 |
0 |
|a Explainable artificial intelligence :
|b First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, proceedings.
|n Part II /
|c Luca Longo, editor.
|
| 246 |
3 |
0 |
|a xAI 2023
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| 264 |
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1 |
|a Cham :
|b Springer,
|c [2023]
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| 264 |
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|c ©2023
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| 300 |
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|a 1 online resource (xviii, 664 pages) :
|b illustrations (chiefly color).
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
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1 |
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|a Communications in computer and information science,
|x 1865-0937 ;
|v 1902
|
| 500 |
|
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|a International conference proceedings.
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| 520 |
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|a 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.
|
| 505 |
0 |
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|a 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.
|
| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed October 23, 2023).
|
| 650 |
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0 |
|a Artificial intelligence
|v Congresses.
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| 650 |
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7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
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| 655 |
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0 |
|a Electronic books.
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| 655 |
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7 |
|a proceedings (reports)
|2 aat
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| 655 |
|
7 |
|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
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| 655 |
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7 |
|a Conference papers and proceedings.
|2 lcgft
|
| 655 |
|
7 |
|a Actes de congrès.
|2 rvmgf
|
| 700 |
1 |
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|a Longo, Luca,
|e editor.
|
| 830 |
|
0 |
|a Communications in computer and information science ;
|v 1902.
|x 1865-0937
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-44067-0
|y Click for online access
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| 903 |
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|a SPRING-ALL2023
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| 994 |
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|a 92
|b HCD
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