Abstract: This paper proposes a deep pseudo-label method for unsupervised feature selection, which learns non-linear representations to generate pseudo-labels and trains a Neural Network (NN) to ...
Abstract: Intrusion Detection Systems (IDS) requires the effective feature selection to enhance accuracy and efficiency, especially when handling the extensive datasets. This paper introduces a novel ...
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