Dataset for the research paper "Automated machine learning in research – a literature review"

This repository contains the literature used in the research paper "Automated Machine Learning in Research – A Literature Review."

The four BibTeX files contain the following collections of literature:

File
Description
Method

01_Initial_papers.bib
385 Initial papers
Keyword search in scientific databases Scopus and Web of Science

02_Primary_papers.bib
267 Primary papers
Removing duplicate articles and filtering for full articles (i.e., conference and journal papers)

03_Possibly_relevant_papers.bib
54 Possibly relevant papers
Identifying possibly relevant papers through abstract scan and application of inclusion criteria

04_Relevant_papers.bib
49 Relevant papers
Inclusion of relevant papers after full-text analysis and backward and forward searches

The following inclusion criteria were used to identify the 54 possibly relevant papers during the abstract scan:

The abstract must mention autoML or related concepts such as low-code ML, meta-learning, or automated hyperparameter tuning and their potential use in research.

The abstract must mention reproducibility or related concepts such as transparency or explainability in the context of autoML or the related concepts mentioned above