Author: Saban Ozturk; Umut Ozkaya; Mucahid Barstugan
Title: Classification of Coronavirus Images using Shrunken Features Document date: 2020_4_6
ID: 2l1zw19o_29
Snippet: where X i new represents the new synthetic sample. σ represents a random number uniformly distributed within the range [0,1]. In the use of this study, the highest number of samples is determined to create an almost equal number of samples for all classes. It is calculated according to the number of samples in other classes. As the upper limit, eight times the number of samples in the minority class is selected. This criterion applies only to ex.....
Document: where X i new represents the new synthetic sample. σ represents a random number uniformly distributed within the range [0,1]. In the use of this study, the highest number of samples is determined to create an almost equal number of samples for all classes. It is calculated according to the number of samples in other classes. As the upper limit, eight times the number of samples in the minority class is selected. This criterion applies only to examples in the no finding class.
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