Identifiability-based Experimental Design
Identifiability-Based Experimental Design is an experimental design framework that systematically selects input conditions, measurements, or interventions to maximize the structural and practical identifiability of model parameters within a given system.
22
Publications
1K
Citations
51
Authors
34
Institutions
Publications per year
2017–2026
6
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22
1–5 of 22
51
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Universidade Federal do Rio Grande do Sul, Brazil
2 publications · 62 citations
2
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2
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1–5 of 51
34
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
2 h-index
2 publications
62 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
3 publications
48 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
4 publications
84 citations

University of Padua
Padua, Italy
2 h-index
4 publications
126 citations
University of Minnesota System
Minneapolis, United States
2 h-index
2 publications
145 citations
DKFZ-ZMBH Alliance
Heidelberg, Germany
1 h-index
2 publications
282 citations
Åbo Akademi University
Turku, Finland
1 h-index
1 publications
10 citations
Universidad de Navarra
Pamplona, Spain
1 h-index
1 publications
10 citations
1–8 of 34
2 publications · 60 citations
2
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2 publications · 75 citations
2
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Repository · 1 publications · 22 citations
1
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1 publications · 127 citations
1
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1 publications · 29 citations
1
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