Supplementary Information for Machine Learning Applications in Archaeological Practices: A Review

홈페이지 · 논문 1편

This deposit is supplementary material to "Machine Learning Applications in Archaeological Practices: A Review". It contains six different files: 1. A supplementary document (1-Protocol for Machine Learning Applications in Archaeological Practices_ A Review.docx.docx) describing the detailed protocol used to screen the reviewed articles. It also contains information on the different features of the data table. 2. A data table (2-Results.xlsx) of all reviewed articles. This file contains the following sheets: Automatic_queries, Metadata, Final_results, Models, Tasks, Subfields. 3. The code of the GitHub repository [ML_archaeology_review][2] used for screening and processing the automatic filtering and plotting of the figures in the compressed zip file named 3-Automatic Screening Protocol Code.zip. 4. The code of the GitHub repository [Google-Scholar-Scraper][1] used for screening the records on Google Scholar in the compressed zip file named 4-Manual Screening Protocol Code.zip. 5. A set of research Information Systems (.ris) files containing bibliographic records of all queried, excluded (with reason number), included, and reviewed items all compressed in a zip file named 5-RIS Files.zip. 6. The data table used for the manual screening protocol, outlining the justification of the exclusion of certain records (6-Manual Screening.xslx)" [1]: https://github.com/ac-jorellanaf/Google-Scholar-Scraper.git [2]: https://github.com/mathias-bellat/ML_archaeology_review.git