Noise Estimation is a methodological framework within sensor noise analysis that characterizes the statistical properties of unwanted signal variations in measured data to distinguish noise from underlying signal components.
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2017–2026
418
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Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon et al. · 2017 · 1.4K citations
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Centre National de la Recherche Scientifique
Paris, France
24 h-index
101 publications
4.9K citations
Massachusetts Institute of Technology
Cambridge, United States
21 h-index
42 publications
4.9K citations
Delft University of Technology
Delft, The Netherlands
20 h-index
55 publications
4.2K citations
McMaster University
Hamilton, Canada
18 h-index
38 publications
2.2K citations
Uppsala University
Uppsala, Sweden
17 h-index
28 publications
1.7K citations
Chinese Academy of Sciences
Beijing, China
16 h-index
47 publications
1.8K citations
Technion – Israel Institute of Technology
Haifa, Israel
15 h-index
24 publications
2.8K citations
Stanford University
Stanford, United States
15 h-index
43 publications
1.5K citations
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- IEEE Transactions on Signal Processing
120 publications · 7K citations
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- IEEE Transactions on Information Theory
43 publications · 3.4K citations
26
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- IEEE Signal Processing Letters
37 publications · 1.9K citations
23
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- Signal Processing
46 publications · 1.4K citations
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- IEEE Transactions on Instrumentation and Measurement
36 publications · 1.4K citations
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