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Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09796-4
Abstract: Since generative adversarial network (GAN) can learn data distribution and generate new samples based on the learned data distribution, it has become a research hotspot in the area of deep learning and cognitive computation. The…
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Keywords:
generative adversarial;
meta learner;
network;
training data ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3274113
Abstract: Unsupervised anomaly detection (AD) is critical for a wide range of practical applications, from network security to health and medical tools. Due to the diversity of problems, no single algorithm has been found to be…
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Keywords:
meta;
unsupervised anomaly;
anomaly detection;
meta learner ... See more keywords