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Case-Based Reasoning Research and Development

31st International Conference, ICCBR 2023, Aberdeen, UK, July 17–20, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Stewart Massie

    1. Robert Gordon University, Aberdeen, UK

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  2. Sutanu Chakraborti

    1. Indian Institute of Technology Madras, Chennai, India

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14141)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ICCBR 2023.

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Table of contents (26 papers)

  1. Front Matter

    Pages i-xi
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  2. CBR and Deep Learning

    1. Front Matter

      Pages 1-1
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    2. Examining the Impact of Network Architecture on Extracted Feature Quality for CBR

      • David Leake, Zachary Wilkerson, Vibhas Vats, Karan Acharya, David Crandall
      Pages 3-18

    3. Synergies Between Case-Based Reasoning and Deep Learning for Survival Analysis in Oncology

      • Isabelle Bichindaritz, Guanghui Liu
      Pages 19-33

    4. CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation

      • Ashish Upadhyay, Stewart Massie
      Pages 34-49

  3. Representation and Similarity

    1. Front Matter

      Pages 51-51
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    2. Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization

      • Alexander Schultheis, Maximilian Hoffmann, Lukas Malburg, Ralph Bergmann
      Pages 53-68

    3. On-Demand and Model-Driven Case Building Based on Distributed Data Sources

      • Mark van der Pas, Remco Dijkman, Alp Akçay, Ivo Adan, John Walker
      Pages 69-84

    4. The Case for Circularities in Case-Based Reasoning

      • Adwait P. Parsodkar, Deepak P., Sutanu Chakraborti
      Pages 85-101

    5. A Contextual Information-Augmented Probabilistic Case-Based Reasoning Model for Knowledge Graph Reasoning

      • Yuejia Wu, Jian-tao Zhou
      Pages 102-117

    6. Case-Based Sample Generation Using Multi-Armed Bandits

      • Andreas Korger, Joachim Baumeister
      Pages 118-133

    7. Hybrid Event Memory as a Case Base for State Estimation in Cognitive Agents

      • David H. Ménager, Dongkyu Choi
      Pages 134-149

  4. CBR and Explainable AI

    1. Front Matter

      Pages 151-151
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    2. Cases Are King: A User Study of Case Presentation to Explain CBR Decisions

      • Lawrence Gates, David Leake, Kaitlynne Wilkerson
      Pages 153-168

    3. CBR Driven Interactive Explainable AI

      • Anjana Wijekoon, Nirmalie Wiratunga, Kyle Martin, David Corsar, Ikechukwu Nkisi-Orji, Chamath Palihawadana et al.
      Pages 169-184

    4. Selecting Explanation Methods for Intelligent IoT Systems: A Case-Based Reasoning Approach

      • Humberto Parejas-Llanovarced, Jesus M. Darias, Marta Caro-Martínez, Juan A. Recio-Garcia
      Pages 185-199

    5. CBR-fox: A Case-Based Explanation Method for Time Series Forecasting Models

      • Moisés F. Valdez-Ávila, Carlos Bermejo-Sabbagh, Belen Diaz-Agudo, Mauricio G. Orozco-del-Castillo, Juan A. Recio-Garcia
      Pages 200-214

  5. Case Base Maintenance

    1. Front Matter

      Pages 215-215
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    2. Group Fairness in Case-Based Reasoning

      • Shania Mitra, Ditty Mathew, Deepak P., Sutanu Chakraborti
      Pages 217-232

    3. Addressing Underestimation Bias in CBR Through Case-Base Maintenance

      • William Blanzeisky, Pádraig Cunningham
      Pages 233-243
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  1. Case-Based Reasoning Research and Development

Keywords

About this book

This book constitutes the proceedings of the 31st International Conference on Case-Based Reasoning Research and Development, ICCBR 2023, which took place in Aberdeen, UK, in July 2023. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. The papers have been organized in topical sections as follows: CBR and deep learning; representation and similarity; CBR and explainable AI; case base maintenance; adaptation: techniques and application; and case-based applications.

Editors and Affiliations

  • Robert Gordon University, Aberdeen, UK

    Stewart Massie

  • Indian Institute of Technology Madras, Chennai, India

    Sutanu Chakraborti

Bibliographic Information

  • Book Title: Case-Based Reasoning Research and Development

  • Book Subtitle: 31st International Conference, ICCBR 2023, Aberdeen, UK, July 17–20, 2023, Proceedings

  • Editors: Stewart Massie, Sutanu Chakraborti

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-40177-0

  • 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: 978-3-031-40176-3Published: 30 July 2023

  • eBook ISBN: 978-3-031-40177-0Published: 29 July 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 426

  • Number of Illustrations: 35 b/w illustrations, 96 illustrations in colour

  • Topics: Artificial Intelligence, Computer Applications, Computer Systems Organization and Communication Networks

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