Genetic programming for feature construction and selection in classification on high-dimensional data

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Benchmark and Survey of Automated Machine Learning Frameworks (2019, methodology): “Tran et al. (2016) used genetic programming to construct new features.”
Taking Human out of Learning Applications: A Survey on Automated Machine Learning (2018, background): “feature engineering subsequent classifiers feature sets [9], [10], [45], [46], [47] selection of methods and their hyper-parameters [5], [6], [34]”
Techniques for Automated Machine Learning (2019, methodology): “Equipped AutoFE with EA, constructed features could be represented in the tree structure [30] where the root is a derived feature, the intermediate nodes are arithmetic operators, and leaves are either original features or random”