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Documenting evidence of a reuse of ‘“why should I trust you?”: explaining the predictions of any classifier’

Published:18 August 2021Publication History

ABSTRACT

We report here the following example of reuse. LIME is a local instance-based explanation generation framework that was originally proposed by Ribeiro et al. in their paper "'Why Should I Trust You?': Explaining the Predictions of Any Classifier". The framework was reused by Peng et al. in their paper "Defect Reduction Planning (using TimeLIME)". The paper used the original implementation of LIME as one of the core components in the proposed framework.

References

  1. Kewen Peng and Tim Menzies. 2021. Defect reduction planning (using timeLIME). IEEE Transactions on Software Engineering, https://doi.org/10.1109/TSE.2021.3062968 Google ScholarGoogle ScholarCross RefCross Ref
  2. Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016. " Why should i trust you?" Explaining the predictions of any classifier. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. 1135–1144. https://doi.org/10.1145/2939672.2939778 Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Documenting evidence of a reuse of ‘“why should I trust you?”: explaining the predictions of any classifier’

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    • Published in

      cover image ACM Conferences
      ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
      August 2021
      1690 pages
      ISBN:9781450385626
      DOI:10.1145/3468264

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 August 2021

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