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Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers.

, , , , , and . EvoApplications@EvoStar, volume 13989 of Lecture Notes in Computer Science, page 656-671. Springer, (2023)

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To adapt or not to adapt, or the beauty of random settings., , and . GECCO (Companion), page 336-337. ACM, (2019)Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming., , , , and . SN Comput. Sci., 5 (1): 91 (January 2024)Ensemble Genetic Programming., , and . EuroGP, volume 12101 of Lecture Notes in Computer Science, page 151-166. Springer, (2020)Comparative study of classifier performance using automatic feature construction by M3GP., and . CEC, page 1-8. IEEE, (2022)Plotting time: On the usage of CNNs for time series classification., , , , , , and . CoRR, (2021)Feature Selection on Epistatic Problems Using Genetic Algorithms with Nested Classifiers., , , , , and . EvoApplications@EvoStar, volume 13989 of Lecture Notes in Computer Science, page 656-671. Springer, (2023)SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming., , , , and . EuroGP, volume 13223 of Lecture Notes in Computer Science, page 68-84. Springer, (2022)Improving Land Cover Classification Using Genetic Programming for Feature Construction., , , , and . Remote. Sens., 13 (9): 1623 (2021)Evolving a cloud-robust water index with genetic programming., and . GECCO Companion, page 55-56. ACM, (2022)Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP., and . CEC, page 1-8. IEEE, (2020)