Artifact Removal
Artifact Removal is a data preprocessing technique that specifically identifies and eliminates spurious or non-representative patterns in datasets arising from measurement errors, technical limitations, or external interferences, thereby preserving the integrity of the underlying phenomena under study.
620
Publications
48.6K
Citations
3.1K
Authors
928
Institutions
Publications per year
2017–2026
278
620
Removing electroencephalographic artifacts by blind source separation
Tzyy‐Ping Jung, Scott Makeig, Colin Humphries et al. · Psychophysiology · 2000 · 3.2K citations
Archaeological Context and Systemic Context
Michael Brian Schiffer · American Antiquity · 1972 · 1.1K citations
1–5 of 620
3.1K
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5
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Korea Advanced Institute of Science and Technology, South Korea
5 publications · 138 citations
5
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1–5 of 3.1K
928
University of California San Diego
San Diego, United States
11 h-index
42 publications
27.7K citations
Harvard University
Cambridge, United States
10 h-index
40 publications
18.6K citations
University of Science and Technology of China
Hefei, China
9 h-index
23 publications
984 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
9 h-index
28 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
9 h-index
19 publications
1.5K citations
Stanford University
Stanford, United States
8 h-index
14 publications
716 citations
University of Cambridge
Cambridge, United Kingdom
8 h-index
25 publications
2.6K citations

Shanghai Jiao Tong University
Shanghai, China
8 h-index
31 publications
754 citations
1–8 of 928
27 publications · 2.2K citations
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15 publications · 1.6K citations
13
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12 publications · 418 citations
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MRM · 11 publications · 2.8K citations
11
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11 publications · 985 citations
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