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Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring.

, , , , , and . GECCO (Companion), page 1393-1400. ACM, (2016)

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Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset., , , and . CoRR, (2013)Cluster Analysis of a Symbolic Regression Search Space., , , , , and . GPTP, page 85-102. Springer, (2018)Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs., , , , and . EUROCAST, volume 5717 of Lecture Notes in Computer Science, page 817-824. Springer, (2009)Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data., , , , and . CoRR, (2022)Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction., , , , and . CoRR, (2023)Parameter identification for symbolic regression using nonlinear least squares., , , and . Genet. Program. Evolvable Mach., 21 (3): 471-501 (2020)Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge., , , , and . CoRR, (2021)Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset., , , and . EvoApplications (1), volume 6624 of Lecture Notes in Computer Science, page 274-283. Springer, (2011)Steel Phase Kinetics Modeling using Symbolic Regression., , and . SYNASC, page 327-330. IEEE, (2022)Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization., , and . EUROCAST, volume 13789 of Lecture Notes in Computer Science, page 139-146. Springer, (2022)