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Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis.

, , , , , , and . BMC Bioinform., (2009)

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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)Operon C++: an efficient genetic programming framework for symbolic regression., , and . GECCO Companion, page 1562-1570. ACM, (2020)Vectorial Genetic Programming - Optimizing Segments for Feature Extraction., , , and . CoRR, (2023)Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming., , , and . CoRR, (2021)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)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)Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition., , , , , , , , , and 14 other author(s). CoRR, (2023)Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression., , , , , and . GPTP, page 1-17. Springer, (2016)Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge., , , , and . Evol. Comput., 30 (1): 75-98 (2022)