Glossario IA

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Reconstruction error

Metric quantifying the difference between original data and their reconstruction by the autoencoder, serving as the main indicator for anomaly detection.

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Anomaly threshold

Reconstruction error limit value beyond which an observation is classified as an anomaly, determined by statistical analysis.

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Convolutional autoencoder

Autoencoder architecture using convolutional layers adapted for processing images or spatially structured data.

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Sparse autoencoder

Autoencoder incorporating a sparsity constraint to force the activation of only a few neurons in the hidden layer.