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Found 2 papers, 2 papers with code
Deep Learning Applications for Intrusion Detection in Network Traffic
The CNN-BiLSTM neural network is synthesized to assess the applicability of deep learning methods for intrusion detection.
Ranked #4 on
Network Intrusion Detection
on CICIDS2017
(using extra training data)
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization
Black-box optimization is one of the vital tasks in machine learning, since it approximates real-world conditions, in that we do not always know all the properties of a given system, up to knowing almost nothing but the results.
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