Dr Stewart Massie s.massie@rgu.ac.uk
Editor
Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning (ICCBR 2023).
Contributors
Sutanu Chakraborti
Editor
Abstract
This volume contains the papers presented at the 31st International Conference on Case-Based Reasoning (ICCBR 2023), which was held on July 17–20, 2023, at Robert Gordon University in Aberdeen, Scotland, UK. ICCBR is the premier annual meeting of the Case-Based Reasoning (CBR) research community. The theme of ICCBR 2023 was "CBR in a Data-Driven World", with the aim of considering the question "What is the role of CBR in the modern data-driven world?" The conference encouraged submissions from our invited speakers, researchers, policy makers, and practitioners in the CBR community that consider the current challenges and opportunities for CBR.
Citation
MASSIE, S. and CHAKRABORTI, S. (eds.) 2023. Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science, 14141. Cham: Springer [online]. Available from: https://doi.org/10.1007/978-3-031-40177-0
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | 31st International conference on case-based reasoning (ICCBR 2023) |
Start Date | Jul 17, 2023 |
End Date | Jul 20, 2023 |
Acceptance Date | Jun 16, 2023 |
Online Publication Date | Jul 29, 2023 |
Publication Date | Dec 31, 2023 |
Deposit Date | Oct 5, 2023 |
Publicly Available Date | Jul 30, 2024 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Series Title | Lecture notes in computer science |
Series Number | 14141 |
Series ISSN | 0302-9743; 1611-3349 |
ISBN | 9783031401763 |
DOI | https://doi.org/10.1007/978-3-031-40177-0 |
Keywords | Case-based reasoning; Deep learning; Explainable AI; Artificial intelligence |
Public URL | https://rgu-repository.worktribe.com/output/2029535 |
Additional Information | The file accompanying this record is a representative extract. The full work can be purchased from the publisher's website: https://doi.org/10.1007/978-3-031-40177-0 |
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