Hello, I am using tensorflow_addons during the model.fit() process to print out the R2 and Pearson metrics. In theory, the square of the Pearson coefficient should be similar to the R2 value. However, ...
Abstract: Aiming to the challenge of efficient synthetic aperture radar (SAR) ship detection, knowledge distillation recently gained increasing attention as an effective model lightweight approach.
1 Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China 2 National Engineering Research Center for Information Technology in Agriculture, Beijing ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
Abstract: The electromagnetic (EM) inverse scattering problems (ISPs) exhibit strong nonlinearity, making it a challenge to reconstruct the relative permittivity of strong scatterers with high quality ...
When it comes to analyzing data, correlation plays a vital role in determining the strength and direction of a relationship between two continuous variables. One of the most commonly used methods to ...
The Pearson correlation coefficient allows you to determine the strength and direction of a linear relationship between two variables. By following these six steps, you can easily calculate this ...
ABSTRACT: In this simulation study, five correlation coefficients, namely, Pearson, Spearman, Kendal Tau, Permutation-based, and Winsorized were compared in terms of ...
EEGcorco is a computer program designed to analyze the degree of synchronization between two electroencephalographic signals (EEG) by mean the analysis of correlation and coherence index. The ...
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