Selected article for: "classification performance and sae method"
Author: Saban Ozturk; Umut Ozkaya; Mucahid Barstugan
Title: Classification of Coronavirus Images using Shrunken Features
  • Document date: 2020_4_6
    • ID: 2l1zw19o_48
    Snippet: The Table 2 shows the classification performances obtained using SVM. When Table 1 and Table 2 are compared, it is seen that the classification performance decreases considerably. It is understood that education leads to memorization in sAE architecture with its low number of samples and synthetic data. As seen in the AUC curves in Figure 8 , the sAE method cannot be used with these data due to the overfitting problem......
    Document: The Table 2 shows the classification performances obtained using SVM. When Table 1 and Table 2 are compared, it is seen that the classification performance decreases considerably. It is understood that education leads to memorization in sAE architecture with its low number of samples and synthetic data. As seen in the AUC curves in Figure 8 , the sAE method cannot be used with these data due to the overfitting problem.

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