Public Sector Machine Learning
Public Sector Machine Learning is a scholarly contribution in the form of a method, model, framework, theory, construct, dataset, task, or metric that specifically advances the application of machine learning techniques to governance, public administration, or government services within the academic domain of Artificial Intelligence in Government.
84
Publications
8.5K
Citations
213
Authors
125
Institutions
Publications per year
2017–2026
83
84
1–5 of 84
213
4
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 213
125
University College London
London, United Kingdom
5 h-index
6 publications
1.1K citations
The Alan Turing Institute
London, United Kingdom
3 h-index
3 publications
508 citations
University of Oxford
Oxford, United Kingdom
3 h-index
5 publications
1K citations

Queensland University of Technology
Brisbane, Australia
3 h-index
7 publications
856 citations
Politecnico di Milano
Milan, Italy
3 h-index
6 publications
475 citations
Tallinn University of Technology
Tallinn, Estonia
3 h-index
7 publications
452 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
492 citations
Joint Research Center
Seville, Spain
2 h-index
2 publications
653 citations
1–8 of 125
Repository · 6 publications · 488 citations
6
h-index
5 publications · 1.5K citations
5
h-index
3 publications · 232 citations
3
h-index
NVSQ · 2 publications · 54 citations
2
h-index
IJPA · 2 publications · 1.2K citations
2
h-index
1–5