Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study. Marín-Veites, P. & Bach, K. In Keane, M. T. & Wiratunga, N., editors, Case-Based Reasoning Research and Development - 30th International Conference, ICCBR 2022, Nancy, France, September 12-15, 2022, Proceedings, volume 13405, of Lecture Notes in Computer Science, pages 111–124, 2022. Springer.
Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/iccbr/Marin-VeitesB22,
  author       = {Paola Mar{\'{\i}}n{-}Veites and
                  Kerstin Bach},
  editor       = {Mark T. Keane and
                  Nirmalie Wiratunga},
  title        = {Explaining {CBR} Systems Through Retrieval and Similarity Measure
                  Visualizations: {A} Case Study},
  booktitle    = {Case-Based Reasoning Research and Development - 30th International
                  Conference, {ICCBR} 2022, Nancy, France, September 12-15, 2022, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {13405},
  pages        = {111--124},
  publisher    = {Springer},
  year         = {2022},
  url          = {https://doi.org/10.1007/978-3-031-14923-8\_8},
  doi          = {10.1007/978-3-031-14923-8\_8},
  timestamp    = {Sat, 10 Sep 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/iccbr/Marin-VeitesB22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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