Transformation Optimization
Transformation Optimization is a model transformation method that enhances the efficiency, accuracy, or scalability of transforming source models into target models by systematically improving the transformation rules, execution strategies, or underlying algorithms.
89
Publications
3.7K
Citations
255
Authors
129
Institutions
Publications per year
2017–2026
24
Parents
89
Finding Optimal Normalizing Transformations via bestNormalize
The R Journal · 2021 · 475 citations · Full text
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University of California, Berkeley
Berkeley, United States
4 h-index
7 publications
464 citations

TU Wien
Vienna, Austria
3 h-index
5 publications
178 citations

Budapest University of Technology and Economics
Budapest, Hungary
3 h-index
9 publications
477 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
88 citations

University of L'Aquila
L’Aquila, Italy
2 h-index
6 publications
108 citations

Universidad de Sevilla
Seville, Spain
2 h-index
2 publications
79 citations
University of Michigan
Ann Arbor, United States
2 h-index
6 publications
192 citations
Stanford University
Stanford, United States
2 h-index
4 publications
113 citations
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4 publications · 148 citations
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SoSyM · 3 publications · 186 citations
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2 publications · 208 citations
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TSE · 2 publications · 72 citations
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2 publications · 49 citations
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