Parameter Tuning
Parameter Tuning is an optimization method within automotive embedded systems that involves the systematic adjustment of configurable system variables to enhance performance metrics according to specific operational criteria.
1.9K
Publications
112.3K
Citations
5.5K
Authors
1.7K
Institutions
Publications per year
2017–2026
957
1.9K
CatBoost for big data: an interdisciplinary review
John Hancock, Taghi M. Khoshgoftaar · Journal Of Big Data · 2020 · 1.7K citations · Full text
James Bergstra, Daniel Yamins, David Cox · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · 2013 · 1.6K citations · Full text
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University of Maryland, College Park, United States
6 publications · 273 citations
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1.7K

Centre National de la Recherche Scientifique
Paris, France
17 h-index
48 publications
1.9K citations

Harbin Institute of Technology
Harbin, China
17 h-index
72 publications
5K citations
Stanford University
Stanford, United States
16 h-index
57 publications
7.1K citations
Georgia Institute of Technology
Atlanta, United States
15 h-index
46 publications
3.5K citations
ETH Zurich
Zurich, Switzerland
15 h-index
33 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
34 publications
1.5K citations
Tsinghua University
Beijing, China
14 h-index
52 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
14 h-index
43 publications
4.1K citations
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Repository · 93 publications · 4.5K citations
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30 publications · 1.2K citations
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18 publications · 1.5K citations
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16 publications · 1.3K citations
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Conference · 14 publications · 1.2K citations
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