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Found 8 papers, 2 papers with code
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.
JCLEC-MO: a Java suite for solving many-objective optimization engineering problems
Although metaheuristics have been widely recognized as efficient techniques to solve real-world optimization problems, implementing them from scratch remains difficult for domain-specific experts without programming skills.
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.
InterEvo-TR: Interactive Evolutionary Test Generation With Readability Assessment
Automated test case generation has proven to be useful to reduce the usually high expenses of software testing.
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.
Artificial intelligence to automate the systematic review of scientific literature
Artificial intelligence (AI) has acquired notorious relevance in modern computing as it effectively solves complex tasks traditionally done by humans.
Interactive Multi-Objective Evolutionary Optimization of Software Architectures
While working on a software specification, designers usually need to evaluate different architectural alternatives to be sure that quality criteria are met.
A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning
However, the value added by ML-based TCP methods should be critically assessed with respect to the cost of collecting the information.
