A Novel Metric for Evaluating the Stability of XAI Explanations
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Publisher
ASTES Journal
Link
https://www.astesj.com/publications/ASTESJ_090113.pdf
Reference27 articles.
1. F. Gawantka, A. Schulz, J. L¨assig, F. Just, "SkillDB - An Evaluation on the stability of XAI algorithms for a HR decision support system and the legal context," in 2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 183-190, 2022, doi: 10.1109/ICCICC57084.2022.10101657.
2. H. L¨ofstr¨om, K. Hammar, U. Johansson, "A Meta Survey of Quality Evaluation Criteria in Explanation Methods," in J. De Weerdt, A. Polyvyanyy, editors, Intelligent Information Systems, 55-63, Springer International Publishing, Cham, 2022.
3. D. V. Carvalho, E. M. Pereira, J. S. Cardoso, "Machine learning interpretability: A survey on methods and metrics," Electronics, 8(8), 832, 2019.
4. M. Nauta, J. Trienes, S. Pathak, E. Nguyen, M. Peters, Y. Schmitt, J. Schl¨otterer, M. van Keulen, C. Seifert, "From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai," ACM Computing Surveys, 55(13s), 1-42, 2023.
5. F. Gawantka, F. Just, M. Ullrich, M. Savelyeva, J. L¨assig, "Evaluation of XAI Methods in a FinTech Context," in International Workshop on Artificial Intelligence and Pattern Recognition, 143-154, Springer, 2023.
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