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- abstractAugust 2024
Feature Attribution Explanation Based on Multi-Objective Evolutionary Learning
GECCO '24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference CompanionPages 61–62https://doi.org/10.1145/3638530.3664056Feature attribution explanation (FAE) method, which reveals the contribution of each input feature to the model's output, is one of the most popular explainable artificial intelligence techniques. To assess the quality of explanations provided by FAE ...
- research-articleFebruary 2024
Multi-objective Feature Attribution Explanation For Explainable Machine Learning
ACM Transactions on Evolutionary Learning and Optimization (TELO), Volume 4, Issue 1Article No.: 2, Pages 1–32https://doi.org/10.1145/3617380The feature attribution-based explanation (FAE) methods, which indicate how much each input feature contributes to the model’s output for a given data point, are one of the most popular categories of explainable machine learning techniques. Although ...