Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning

Research article (The Journal of Supercomputing, 2023) · cited 137× · AI/ML
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Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning

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Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/addressing-the-class-imbalance-problem-in-network-intrusion-detection-systems-using-data-resampling-and-deep-learning
MLA “Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/addressing-the-class-imbalance-problem-in-network-intrusion-detection-systems-using-data-resampling-and-deep-learning.
BibTeX @misc{4ortxyz_addressing-the-class-imbalance-problem-in-network-intrusion-detection-systems-using-data-resampling-and-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Addressing the class imbalance problem in network intrusion detection systems using data resampling and deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/addressing-the-class-imbalance-problem-in-network-intrusion-detection-systems-using-data-resampling-and-deep-learning}, note = {Accessed: 2026-05-24}}
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