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Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks.
Marco Schreyer
Timur Sattarov
Christian Schulze
Bernd Reimer
Damian Borth
Published in:
CoRR (2019)
Keyphrases
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neural network
latent space
pattern recognition
latent variables
low dimensional
gaussian process latent variable models
feature extraction
high dimensional
dimensionality reduction
probabilistic model
manifold learning