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Enhancing Grammatical Evolution Through Data Augmentation: Application to Blood Glucose Forecasting.

, , , , , , , and . EvoApplications (1), volume 10199 of Lecture Notes in Computer Science, page 142-157. (2017)

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Adaptive Tuning of Reserved Space in an Appel Collector., , and . ECOOP, volume 3086 of Lecture Notes in Computer Science, page 543-559. Springer, (2004)Data augmentation and evolutionary algorithms to improve the prediction of blood glucose levels in scarcity of training data., , , , , , and . CEC, page 2193-2200. IEEE, (2017)Performance Evaluation of Barrier Techniques for Distributed Tracing Garbage Collectors., , , and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 549-556. Central Institute for Applied Mathematics, Jülich, Germany, (2005)Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020., , , , , , and . KDH@ECAI, volume 2675 of CEUR Workshop Proceedings, page 141-145. CEUR-WS.org, (2020)Genetic Programming Techniques for Glucose Prediction in People with Diabetes., , , and . GPTP, page 105-124. Springer, (2023)Energy Characterization of Garbage Collectors for Dynamic Applications on Embedded Systems., , , , , and . PATMOS, volume 3728 of Lecture Notes in Computer Science, page 69-78. Springer, (2005)Combining data augmentation, EDAs and grammatical evolution for blood glucose forecasting., , , , and . Memetic Comput., 10 (3): 267-277 (2018)Embedded Grammars for Grammatical Evolution on GPGPU., , , , , and . EvoApplications (1), volume 10199 of Lecture Notes in Computer Science, page 789-805. (2017)Modelling the Transmission Dynamics of Obesity: A Multi-Objective Approach Using Dynamic Structured Grammatical Evolution., , , , and . GECCO Companion, page 73-74. ACM, (2023)Dynamic Management of Nursery Space Organization in Generational Collection., , , and . Interaction between Compilers and Computer Architectures, page 33-40. IEEE Computer Society, (2004)