Auto-tuning
Auto-Tuning is a control engineering method that systematically adjusts controller parameters without human intervention to optimize system performance according to predefined criteria.
650
Publications
28.1K
Citations
1.8K
Authors
580
Institutions
Publications per year
2017–2026
186
Variants
Automatic Tuning
650
Automatic Database Management System Tuning Through Large-scale Machine Learning
Dana Van Aken, Andrew Pavlo, Geoffrey J. Gordon et al. · 2017 · 550 citations · Full text
1–5 of 650
1.8K
10
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University of Maryland, College Park, United States
10 publications · 699 citations
10
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9
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9
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8
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1–5 of 1.8K
580
National University of Singapore
Singapore, Singapore
20 h-index
69 publications
5.6K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
38 publications
1.8K citations

Lund University
Lund, Sweden
12 h-index
20 publications
5.2K citations
University of Maryland, College Park
College Park, United States
11 h-index
18 publications
1.4K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
11 h-index
34 publications
5.8K citations
Tsinghua University
Beijing, China
11 h-index
34 publications
821 citations
Politecnico di Milano
Milan, Italy
11 h-index
30 publications
848 citations
North Carolina State University
Raleigh, United States
10 h-index
20 publications
1.2K citations
1–8 of 580
16 publications · 3.3K citations
15
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21 publications · 387 citations
13
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13 publications · 890 citations
13
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11 publications · 464 citations
11
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Repository · 10 publications · 417 citations
10
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