AutoLearn — Automated Feature Generation and Selection

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Benchmark and Survey of Automated Machine Learning Frameworks (2019, methodology): “, 2018a) or stability selection (Kaul et al., 2017).”
Survey on Automated Machine Learning (2019, methodology): “Using correlation tests and regression models, the correlation between two features can be expressed as a new feature (Kaul et al., 2017; Chen et al., 2018).”
AutoML to Date and Beyond: Challenges and Opportunities (2020, methodology): “Kaul et al. [33] presented a regression-based feature learning algorithm called “AutoLearn.””
Techniques for Automated Machine Learning (2019, methodology): “We can construct ridge and kernel ridge regression models to measure the feature correlations that serve as additional new features [16].”