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Data Imputation for Symbolic Regression with Missing Values: A Comparative Study.

, , , and . SSCI, page 2093-2100. IEEE, (2020)

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GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data., , , and . CEC, page 604-611. IEEE, (2021)Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data., , , and . CEC, page 1-8. IEEE, (2020)Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data., , , and . ACPR (2), volume 12047 of Lecture Notes in Computer Science, page 566-579. Springer, (2019)A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data., , , and . SSCI, page 2395-2402. IEEE, (2019)Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data., , , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 523-535. Springer, (2019)Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data., , , and . GECCO, page 913-921. ACM, (2020)Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values., , , and . Australasian Conference on Artificial Intelligence, volume 12576 of Lecture Notes in Computer Science, page 163-175. Springer, (2020)A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values., , , and . Australasian Conference on Artificial Intelligence, volume 11320 of Lecture Notes in Computer Science, page 345-357. Springer, (2018)Data Imputation for Symbolic Regression with Missing Values: A Comparative Study., , , and . SSCI, page 2093-2100. IEEE, (2020)GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data., , , and . SSCI, page 905-912. IEEE, (2020)