Machine Learning Model Risk
Machine Learning Model Risk is a type of model risk that arises specifically from the development, deployment, and use of machine learning models, distinguished by uncertainties and potential failures associated with data dependencies, algorithmic complexity, non-linear behavior, and model adaptability in dynamic environments.
115
Publications
7.6K
Citations
571
Authors
255
Institutions
Publications per year
2017–2026
103
Parents
115
Hidden technical debt in Machine learning systems
D. Sculley, Gary D. Holt, Daniel Golovin et al. · Neural Information Processing Systems · 2015 · 843 citations
Big Data and Predictive Analytics
Nilay D. Shah, Ewout W. Steyerberg, David M. Kent · JAMA · 2018 · 243 citations
1–5 of 115
571
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 571
255

Johns Hopkins University
Baltimore, United States
4 h-index
20 publications
1.4K citations
Google (United States)
Mountain View, United States
4 h-index
14 publications
8.7K citations

Delft University of Technology
Delft, The Netherlands
3 h-index
5 publications
506 citations

University of Milan
Milan, Italy
3 h-index
4 publications
198 citations
Harvard University
Cambridge, United States
3 h-index
8 publications
503 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
5 publications
1.2K citations

Lund University
Lund, Sweden
2 h-index
2 publications
320 citations
University of Insubria
Varese, Italy
2 h-index
2 publications
64 citations
1–8 of 255
Repository · 11 publications · 800 citations
11
h-index
Repository · 3 publications · 44 citations
3
h-index
3 publications · 124 citations
3
h-index
2 publications · 80 citations
2
h-index
2 publications · 215 citations
2
h-index
1–5