Model Chaining
Model Chaining is a model integration technique that sequentially composes multiple models by feeding the output of one model as input to the next, thereby enabling cascaded processing and dependency propagation across stages.
7
Publications
195
Citations
22
Authors
11
Institutions
Publications per year
2017–2026
1
Variants
Model Cascading
Parents
7
Hierarchical multi-label classification with chained neural networks
Jônatas Wehrmann, Rodrigo C. Barros, Silvia N. das Dôres et al. · 2017 · 69 citations
Rule chaining in Marvel: dynamic binding of parameters
George T. Heineman, Gail E. Kaiser, Naser S. Barghouti et al. · IEEE Expert · 1992 · 42 citations
Chaining model transformations
Anne Etien, Vincent Aranega, Xavier Blanc et al. · 2012 · 25 citations
Engineering, Systems Engineering, Model-based Systems Engineering +14
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1–5 of 22
11
Columbia University
New York, United States
2 h-index
8 publications
212 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
2 publications
30 citations

Universidad Autónoma Metropolitana
Mexico City, Mexico
1 h-index
1 publications
23 citations
Universidade Federal de São Carlos
São Carlos, Brazil
1 h-index
1 publications
69 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
3 publications
75 citations

University of York
York, United Kingdom
1 h-index
1 publications
25 citations

Pontifícia Universidade Católica do Rio Grande do Sul
Porto Alegre, Brazil
1 h-index
3 publications
207 citations

National Institute of Astrophysics, Optics and Electronics
Puebla City, Mexico
1 h-index
4 publications
92 citations
1–8 of 11
Conference · 1 publications · 15 citations
1
h-index
1 publications · 42 citations
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Repository · 1 publications · 13 citations
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