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IEEE/ICACT20240217 Slide.08        [Big Slide]	Oral Presentation
	The proposed method is called Z-score based NC, ZSNC. It observes the ratio of neurons that do not fall within an interval for a given class. The class-specific bounds for each neuron consists of mean and standard deviation of class-specific features in train set, which can be calculated iteratively and scaled by epsilon that is selected from z-score table. To fit the range with FD+, we select 1.96 as a scaling factor. The proposed method does not need to save all output values from training set.

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