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Evolving machine learning workflows through interactive AutoML
In this paper we present \ourmethod, an interactive G3P algorithm that allows users to dynamically modify the grammar to prune the search space and focus on their regions of interest.
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
First, it employs a suite of genetic operators, designed specifically for AWC, to optimise both the structure of workflows and their hyper-parameters.
GEML: A Grammar-based Evolutionary Machine Learning Approach for Design-Pattern Detection
We propose GEML, a novel detection approach based on evolutionary machine learning using software properties of diverse nature.
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