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We propose a one-class neural network (OC-NN) model to detect anomalies in complex data sets.
On estimation of a probability density function and mode
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Outlier Analysis
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
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Anomaly detection with robust deep autoencoders
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Robust, deep and inductive anomaly detection
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1⟧#1 1⟧ #1
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Deep one-class classification
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