Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications

Mohamad Roshanzamir, Roohallah Alizadehsani, Seyed Vahid Moravvej, Javad Hassannataj Joloudari, Hamid Alinejad-Rokny, Juan Manuel Górriz. Enhancing Interpretability in Machine Learning: A Focus on Genetic Network Programming, Its Variants, and Applications. In José Manuel Ferrández Vicente, Mikel Val-Calvo, Hojjat Adeli, editors, Artificial Intelligence for Neuroscience and Emotional Systems - 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4-7, 2024, Proceedings, Part I. Volume 14674 of Lecture Notes in Computer Science, pages 98-107, Springer, 2024. [doi]

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