G-REX: A Versatile Framework for Evolutionary Data Mining

41 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, neutral): “Besides LIME and related ﬂavors, another approach to rule extraction is G-REX [212] .”
Explainable artificial intelligence: a comprehensive review (2021, methodology): “The simplification approach is a well-known XAI approach, because it has commonly appeared in the latest XAI studies, such as G-REX (Konig et al. 2008) and LIME (Ribeiro et al.”
Principles and Practice of Explainable Machine Learning (2020, background): “asy to understand “if-then” rules that anchor the model’s decision are employed. The rules aim at capturing the essential features, omitting the rest, so it results in more sparse explanations. G-REX [47] is an approach ﬁrst introduced in genetic programming, in order to extract rules from data, but”