Under the HLG-MOS ML Project Work Package 1, a total of 19 pilot studies were conducted with three broad themes: coding and classification, edit and imputation and imagery analysis and 2 relevant studies
Work package 1 report provides executive summary of all three application areas.
Theme report provides overview of context, methods, practices and lessons learned from pilot studies under each theme.
Pilot study paper contains details about each study, please see Studies and Codes page for information about programming language and codes.
In addition to the pilot studies, other developments or uses of ML were presented to project members. They are shared to further highlight the interest in advancing the use of ML, please see Other applications of Machine Learning.
WP1
Pilot Study Theme
Pilot Study Paper
Presentation
Work Package (WP) 1 - Pilot Studies Executive Summary Report (to be updated)