Sensitivity Analysis For Surrogates
Sensitivity Analysis for Surrogates is a systematic methodological framework within surrogate modeling that quantifies the influence of individual input variables or parameters on the output variability of a surrogate model, thereby distinguishing itself from general sensitivity analysis by specifically addressing the uncertainties and approximations inherent in surrogate-based predictions.
45
Publications
1.7K
Citations
152
Authors
97
Institutions
Publications per year
2017–2026
22
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Diederik Coppitters, Ward De Paepe, Francesco Contino · Applied Energy · 2019 · 72 citations · Full text
Arika Ligmann-Zielińska, Peer‐Olaf Siebers, Nicholas R. Magliocca et al. · Journal of Artificial Societies and Social Simulation · 2020 · 67 citations · Full text
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Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France
2 publications · 69 citations
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1–5 of 152
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Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
2 h-index
6 publications
207 citations
Direction des Energies
Gif-sur-Yvette, France
2 h-index
6 publications
207 citations

University of Shahrood
Shahrud, Iran
2 h-index
2 publications
75 citations
University of Florida
Gainesville, United States
2 h-index
4 publications
241 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
2 publications
118 citations
CEA Cadarache
Saint-Paul-lès-Durance, France
2 h-index
6 publications
207 citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
1 h-index
2 publications
54 citations
Tsinghua University
Beijing, China
1 h-index
3 publications
66 citations
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7 publications · 232 citations
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2 publications · 229 citations
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2 publications · 66 citations
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2 publications · 33 citations
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1 publications · 36 citations
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