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Dynamic Limits for Bloat Control: Variations on Size and Depth., and . GECCO (2), volume 3103 of Lecture Notes in Computer Science, page 666-677. Springer, (2004)Transfer learning in constructive induction with Genetic Programming., , and . Genet. Program. Evolvable Mach., 21 (4): 529-569 (2020)A comparison of the generalization ability of different genetic programming frameworks., , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)neat Genetic Programming: Controlling bloat naturally., , , and . Inf. Sci., (2016)ESAGP - A Semantic GP Framework Based on Alignment in the Error Space., , , and . EuroGP, volume 8599 of Lecture Notes in Computer Science, page 150-161. Springer, (2014)Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data., and . EuroGP, volume 7831 of Lecture Notes in Computer Science, page 73-84. Springer, (2013)Towards Supervised Biomedical Semantic Similarity., , and . SeWeBMeDA@ESWC, volume 3573 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)An Investigation of Geometric Semantic GP with Linear Scaling., , , , , and . GECCO, page 1165-1174. ACM, (2023)A Case Study on Data Science Processes in an Academia-Industry Collaboration., and . SBQS, page 1-10. ACM, (2023)Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators., , , , , , and . EvoApplications, volume 7835 of Lecture Notes in Computer Science, page 334-343. Springer, (2013)