Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution

Ilija Simic, Vedran Sabol, Eduardo E. Veas. Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution. In Mohammad Al Hasan, Li Xiong 0001, editors, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. pages 1798-1807, ACM, 2022. [doi]

@inproceedings{SimicSV22,
  title = {Perturbation Effect: A Metric to Counter Misleading Validation of Feature Attribution},
  author = {Ilija Simic and Vedran Sabol and Eduardo E. Veas},
  year = {2022},
  doi = {10.1145/3511808.3557418},
  url = {https://doi.org/10.1145/3511808.3557418},
  researchr = {https://researchr.org/publication/SimicSV22},
  cites = {0},
  citedby = {0},
  pages = {1798-1807},
  booktitle = {Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022},
  editor = {Mohammad Al Hasan and Li Xiong 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9236-5},
}