Experimentation Pipelines
Experimentation Pipeline is a structured computational framework that orchestrates the sequential execution, management, and evaluation of experimental workflows in systematic empirical research, distinguishing itself by integrating automated stages for hypothesis testing, data processing, model training, validation, and result aggregation within an experimentation platform.
93
Publications
7.4K
Citations
533
Authors
264
Institutions
Publications per year
2017–2026
47
Parents
93
Overlapping experiment infrastructure
Diane Tang, Ashish Agarwal, Deirdre O'Brien et al. · 2010 · 319 citations
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Centre National de la Recherche Scientifique
Paris, France
7 h-index
53 publications
6.7K citations
Stanford University
Stanford, United States
6 h-index
37 publications
13.2K citations
University of Oxford
Oxford, United Kingdom
6 h-index
9 publications
2.2K citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
11 publications
734 citations
University of Washington
Seattle, United States
5 h-index
12 publications
2.7K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
29 publications
4.7K citations
University of California, Irvine
Irvine, United States
5 h-index
6 publications
2.2K citations
Argonne National Laboratory
Lemont, United States
5 h-index
28 publications
2.1K citations
1–8 of 264
Repository · 3 publications · 136 citations
3
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Repository · 3 publications · 89 citations
3
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3 publications · 759 citations
3
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TPDS · 2 publications · 44 citations
2
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2 publications · 52 citations
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