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Case-Based Reasoning Research and Development

27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Kerstin Bach

    1. Norwegian University of Science and Technology, Trondheim, Norway

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    You can also search for this editor in PubMed   Google Scholar

  2. Cindy Marling

    1. Ohio University, Athens, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11680)

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

Included in the following conference series:

Conference proceedings info: ICCBR 2019.

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Table of contents (26 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Comparing Similarity Learning with Taxonomies and One-Mode Projection in Context of the FEATURE-TAK Framework

    • Oliver Berg, Pascal Reuss, Rotem Stram, Klaus-Dieter Althoff
    Pages 1-16

  3. An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs

    • Marta Caro-Martinez, Juan A. Recio-Garcia, Guillermo Jimenez-Diaz
    Pages 17-32

  4. Explanation of Recommenders Using Formal Concept Analysis

    • Belen Diaz-Agudo, Marta Caro-Martinez, Juan A. Recio-Garcia, Jose Jorro-Aragoneses, Guillermo Jimenez-Diaz
    Pages 33-48

  5. FLEA-CBR – A Flexible Alternative to the Classic 4R Cycle of Case-Based Reasoning

    • Viktor Eisenstadt, Christoph Langenhan, Klaus-Dieter Althoff
    Pages 49-63

  6. Lazy Learned Screening for Efficient Recruitment

    • Erik Espenakk, Magnus Johan Knalstad, Anders Kofod-Petersen
    Pages 64-78

  7. On the Generalization Capabilities of Sharp Minima in Case-Based Reasoning

    • Thomas Gabel, Eicke Godehardt
    Pages 79-94

  8. CBR Confidence as a Basis for Confidence in Black Box Systems

    • Lawrence Gates, Caleb Kisby, David Leake
    Pages 95-109

  9. Probabilistic Selection of Case-Based Explanations in an Underwater Mine Clearance Domain

    • Venkatsampath Raja Gogineni, Sravya Kondrakunta, Danielle Brown, Matthew Molineaux, Michael T. Cox
    Pages 110-124

  10. A Data-Driven Approach for Determining Weights in Global Similarity Functions

    • Amar Jaiswal, Kerstin Bach
    Pages 125-139

  11. Personalized Case-Based Explanation of Matrix Factorization Recommendations

    • Jose Jorro-Aragoneses, Marta Caro-Martinez, Juan Antonio Recio-Garcia, Belen Diaz-Agudo, Guillermo Jimenez-Diaz
    Pages 140-154

  12. How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems

    • Mark T. Keane, Eoin M. Kenny
    Pages 155-171

  13. Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI)

    • Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O’Leary, Michael O’Donovan et al.
    Pages 172-187

  14. Learning Workflow Embeddings to Improve the Performance of Similarity-Based Retrieval for Process-Oriented Case-Based Reasoning

    • Patrick Klein, Lukas Malburg, Ralph Bergmann
    Pages 188-203

  15. On Combining Case Adaptation Rules

    • David Leake, Xiaomeng Ye
    Pages 204-218

  16. Semantic Textual Similarity Measures for Case-Based Retrieval of Argument Graphs

    • Mirko Lenz, Stefan Ollinger, Premtim Sahitaj, Ralph Bergmann
    Pages 219-234

  17. An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base

    • Yves Lepage, Jean Lieber
    Pages 235-250

  18. Improving Analogical Extrapolation Using Case Pair Competence

    • Jean Lieber, Emmanuel Nauer, Henri Prade
    Pages 251-265

  19. Towards Finding Flow in Tetris

    • Diana Sofía Lora Ariza, Antonio A. Sánchez-Ruiz, Pedro A. González-Calero
    Pages 266-280

  20. Scoring Performance on the Y-Balance Test

    • Vivek Mahato, William Johnston, Pádraig Cunningham
    Pages 281-296
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  1. Case-Based Reasoning Research and Development

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About this book

This book constitutes the refereed proceedings of the 27th International Conference on Case-Based Reasoning Research and Development, ICCBR 2019, held in Otzenhausen, Germany, in September 2019.

The 26 full papers presented in this book were carefully reviewed and selected from 43 submissions. 15 were selected for oral presentation and 11 for poster presentation. The theme of ICCBR 2019, "Explainable AI (XAI)," was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction.

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Editors and Affiliations

  • Norwegian University of Science and Technology, Trondheim, Norway

    Kerstin Bach

  • Ohio University, Athens, USA

    Cindy Marling

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