Multi-objective Metric Selection
Multi-Objective Metric Selection is a formal methodology within metric selection that simultaneously optimizes multiple, often competing, evaluation criteria to identify a set of metrics that collectively provide a balanced and comprehensive assessment of system performance across diverse objectives.
19
Publications
602
Citations
72
Authors
43
Institutions
Publications per year
2017–2026
8
Parents
19
Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice
Roberto Confalonieri, Marco Acutis, Gianni Bellocchi et al. · Ecological Modelling · 2009 · 132 citations
Agriculture, Agronomy, Crop Sciences +12
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43

Deakin University
Burwood, Australia
2 h-index
4 publications
174 citations
Joint Research Centre
Ispra, Italy
2 h-index
4 publications
372 citations

University of Milan
Milan, Italy
2 h-index
4 publications
294 citations
Research Centre for Cereal and Industrial Crops
Foggia, Italy
2 h-index
2 publications
186 citations

King Saud University
Riyadh, Saudi Arabia
1 h-index
2 publications
62 citations

Nantong University
Nantong, China
1 h-index
4 publications
76 citations
Swinburne University of Technology
Melbourne, Australia
1 h-index
2 publications
162 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
19 citations
1–8 of 43
JSS · 3 publications · 125 citations
3
h-index
1 publications · 31 citations
1
h-index
1 publications · 19 citations
1
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1 publications · 29 citations
1
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1 publications · 23 citations
1
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1–5