Overview
Part of the book series: Communications in Computer and Information Science (CCIS, volume 1902)
Included in the following conference series:
Conference proceedings info: xAI 2023.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Keywords
- artificial intelligence
- interpretable machine learning
- causal inference & explanations
- argumentative-based approaches for explanations
- decomposition of neural network-based models for XAI
- convolutional Neural Networks
- natural language processing for explanations
- reinforcement learning for enhancing XAI
- explainability
- neural networks
Table of contents (33 papers)
-
Front Matter
-
Surveys, Benchmarks, Visual Representations and Applications for xAI
-
Front Matter
-
-
xAI for Decision-Making and Human-AI Collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks
-
Front Matter
-
Other volumes
-
Explainable Artificial Intelligence
-
Explainable Artificial Intelligence
-
Explainable Artificial Intelligence
Editors and Affiliations
Bibliographic Information
Book Title: Explainable Artificial Intelligence
Book Subtitle: First World Conference, xAI 2023, Lisbon, Portugal, July 26–28, 2023, Proceedings, Part II
Editors: Luca Longo
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-031-44067-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-44066-3Published: 21 October 2023
eBook ISBN: 978-3-031-44067-0Published: 20 October 2023
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XVIII, 664
Number of Illustrations: 17 b/w illustrations, 176 illustrations in colour
Topics: Artificial Intelligence, Computer Applications, Computer Communication Networks, Natural Language Processing (NLP)