7 citations · 8 across the 4 of their papers we have counts for
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cs.NE2024★ 7 cited
Explaining Genetic Programming Trees using Large Language Models
Paula Maddigan, Andrew Lensen, Bing Xue
Genetic programming (GP) has the potential to generate explainable results, especially when used for dimensionality reduction. In this research, we investigate the potential of lev…
cs.NE2024★ 1 cited
Genetic Programming for Explainable Manifold Learning
Ben Cravens, Andrew Lensen, Paula Maddigan +1
Manifold learning techniques play a pivotal role in machine learning by revealing lower-dimensional embeddings within high-dimensional data, thus enhancing both the efficiency and…