Search Results for author: Azarmidokht Motamedi Sedeh

Found 1 papers, 0 papers with code

Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems

no code implementations24 Aug 2021 Andreas Rausch, Azarmidokht Motamedi Sedeh, Meng Zhang

Thus, novelty detection - identifying data that differ in some respect from the data used for training - becomes a safety measure for system development and operation.

Novelty Detection

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