How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations

Anjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Chamath Palihawadana, David Corsar, Kyle Martin. How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations. In Mark T. Keane, Nirmalie Wiratunga, 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 33-47, Springer, 2022. [doi]

@inproceedings{WijekoonWNPCM22,
  title = {How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations},
  author = {Anjana Wijekoon and Nirmalie Wiratunga and Ikechukwu Nkisi-Orji and Chamath Palihawadana and David Corsar and Kyle Martin},
  year = {2022},
  doi = {10.1007/978-3-031-14923-8_3},
  url = {https://doi.org/10.1007/978-3-031-14923-8_3},
  researchr = {https://researchr.org/publication/WijekoonWNPCM22},
  cites = {0},
  citedby = {0},
  pages = {33-47},
  booktitle = {Case-Based Reasoning Research and Development - 30th International Conference, ICCBR 2022, Nancy, France, September 12-15, 2022, Proceedings},
  editor = {Mark T. Keane and Nirmalie Wiratunga},
  volume = {13405},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-14923-8},
}