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Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning

Overview of attention for article published in Frontiers in Artificial Intelligence, June 2022
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Title
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning
Published in
Frontiers in Artificial Intelligence, June 2022
DOI 10.3389/frai.2022.863261
Pubmed ID
Authors

Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Unspecified 1 10%
Student > Bachelor 1 10%
Lecturer 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 4 40%
Readers by discipline Count As %
Unspecified 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Medicine and Dentistry 1 10%
Engineering 1 10%
Unknown 6 60%