Intepretable Local Explanations Through Genetic Programming
Author:
Affiliation:
1. Victoria University of Wellington, Wellington, New Zealand
2. Queensland University of Technology, Brisbane, Australia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3654370
Reference10 articles.
1. Producing Diverse Rashomon Sets of Counterfactual Explanations with Niching Particle Swarm Optimization Algorithms
2. What's inside the black-box?
3. Applying Genetic Programming to Improve Interpretability in Machine Learning Models
4. Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, and Vaishnavi Bhargava. 2022. s-LIME: Reconciling Locality and Fidelity in Linear Explanations. In Advances in Intelligent Data Analysis XX, Tassadit Bouadi, Elisa Fromont, and Eyke Hüllermeier (Eds.). Springer International Publishing, Cham, 102--114.
5. Explainable Artificial Intelligence by Genetic Programming: A Survey
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