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Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes.

, , , , , and . Appl. Soft Comput., (February 2023)

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Genetic Programming for Inductive Inference of Chaotic Series, , , and . Fuzzy Logic and Applications, 6th International Workshop, WILF 2005, Revised Selected Papers, volume 3849 of Lecture Notes in Computer Science, page 156--163. Crema, Italy, Springer, (September 2005)Simulation of Genetic Algorithms on MIMD Multicomputers., , , and . Parallel Process. Lett., (1992)Breeder Genetic Algorithms for Airfoil Design Optimisation., , , and . International Conference on Evolutionary Computation, page 71-75. IEEE, (1996)Evolutionary Neural Networks for Nonlinear Dynamics Modeling., , , and . PPSN, volume 1498 of Lecture Notes in Computer Science, page 593-602. Springer, (1998)Discovering interesting classification rules with genetic programming., , and . Appl. Soft Comput., 1 (4): 257-269 (2002)Evaluation of Particle Swarm Optimization Effectiveness in Classification., , and . WILF, volume 3849 of Lecture Notes in Computer Science, page 164-171. Springer, (2005)An adaptive invasion-based model for distributed Differential Evolution., , , , and . Inf. Sci., (2014)Biological invasion-inspired migration in distributed evolutionary algorithms., , , , and . Inf. Sci., (2012)Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels., , , , , , and . ISCC, page 1056-1061. IEEE, (2019)A novel grammar-based genetic programming approach to clustering, , , and . Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), page 928--932. Santa Fe, New Mexico, USA, ACM, (March 2005)