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Operon C++: an efficient genetic programming framework for symbolic regression., , and . GECCO Companion, page 1562-1570. ACM, (2020)Understanding and Preparing Data of Industrial Processes for Machine Learning Applications., , and . CoRR, (2021)Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning., , , , and . EUROCAST, volume 9520 of Lecture Notes in Computer Science, page 326-333. Springer, (2015)Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming., and . EUROCAST (1), volume 8111 of Lecture Notes in Computer Science, page 308-315. Springer, (2013)Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems., , , , , , , and . IJCCI (FCTA), page 51-63. SciTePress, (2016)Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming., , , , and . GPTP, page 1-19. Springer, (2015)Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression., , , , , and . GPTP, page 1-17. Springer, (2016)Optimization Networks for Integrated Machine Learning., , , , , , and . EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 392-399. Springer, (2017)Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets., , , , , , and . EUROCAST (1), volume 6927 of Lecture Notes in Computer Science, page 400-407. Springer, (2011)Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process., , , , and . EUROCAST (1), volume 6927 of Lecture Notes in Computer Science, page 264-271. Springer, (2011)