Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package-Reference-Cited by-同舟云学术

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Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Congress on Evolutionary Computation (CEC)
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Author:

Delgado-Osuna Jose A.¹^ORCID,Garcia-Martinez Carlos²^ORCID,Ventura Sebastian²^ORCID

Affiliation:

1. Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital,Córdoba,Spain,14071

2. Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), University of Córdoba,Computing and Numerical Dept.,Córdoba,Spain,14071

Funder

Spanish Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870361.pdf?arnumber=9870361

Reference20 articles.

1. Comparison of a genetic algorithm to grammatical evolution for automated design of genetic programming classification algorithms

2. An initialization method for grammatical evolution assisted by decision trees

3. Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt

4. An interpretable classification rule mining algorithm

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Grammatical Evolution for Predicting Cervical Cancer Recurrence Risk;2023 13th International Conference on Information Technology in Medicine and Education (ITME);2023-11-24

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