Explainable Artificial Intelligence: First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part I: Communications in Computer and Information Science, cartea 1901
Editat de Luca Longoen Limba Engleză Paperback – 30 oct 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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Paperback (3) | 597.01 lei 6-8 săpt. | |
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Specificații
ISBN-13: 9783031440632
ISBN-10: 3031440633
Pagini: 692
Ilustrații: XXV, 692 p. 198 illus., 158 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.99 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031440633
Pagini: 692
Ilustrații: XXV, 692 p. 198 illus., 158 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.99 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
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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