Virual Oral Presentation Slide by Slide

IEEE/ICACT20240217 Slide.04        [Big Slide]	Oral Presentation
	After then, variants of NC are comes out. Neural Boundary Coverage extract the minimum and maximum values of the total neuron outputs upon the training set. Then, when the test sample is given, they observe the number of neurons that does not lies between min-max range. Familiarity Degree is a state-of-the-art. It extracts class-specific patterns for each neuron from a training set. For each class, the patterns contains whether neuron 𝑛 is ˇ°activeˇ± or ˇ°inactiveˇ± for class c. If a neuron is ˇ°activeˇ±, then the 5% percentile value of the neuron for the train set is extracted, and 95% percentile value is extracted for inactive neurons. The classification of "active" neuron is that if the 95% of the collected neuron output for the given class are greater than zero, otherwise "inactive".

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!