Model Change Management
Model Change Management is a formal process within model governance that systematically tracks, evaluates, approves, and implements modifications to analytical or machine learning models in a model repository, ensuring traceability, compliance, and integrity throughout the model lifecycle.
56
Publications
5.5K
Citations
203
Authors
79
Institutions
Publications per year
2017–2026
14
56
PubChem in 2021: new data content and improved web interfaces
Sunghwan Kim, Jie Chen, Tiejun Cheng et al. · Nucleic Acids Research · 2020 · 4K citations · Full text
On Challenges in Machine Learning Model Management
Sebastian Schelter, Felix Bießmann, Tim Januschowski et al. · IEEE Data(base) Engineering Bulletin · 2015 · 139 citations
1–5 of 56
203
3
h-index
2
h-index
National Center for Biotechnology Information, United States
1 publications · 4K citations
1
h-index
1
h-index
1
h-index
1–5 of 203
79
University of Arizona
Tucson, United States
3 h-index
3 publications
171 citations
Texas A&M University
College Station, United States
2 h-index
6 publications
176 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
103 citations
Systems, Applications & Products in Data Processing (United Kingdom)
London, United Kingdom
2 h-index
3 publications
44 citations
IBM Research - India
New Delhi, India
1 h-index
2 publications
36 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
98 citations

University of Manchester
Manchester, United Kingdom
1 h-index
2 publications
28 citations
University of the West Indies
Saint Augustine, Trinidad and Tobago
1 h-index
2 publications
60 citations
1–8 of 79
4 publications · 177 citations
4
h-index
AJHP · 3 publications · 46 citations
3
h-index
2 publications · 22 citations
2
h-index
2 publications · 44 citations
2
h-index
1 publications · 38 citations
1
h-index
1–5