"One-Class Anomaly Detection for Industrial Applications: A Comparative ..."

Davide Paolini et al. (2025)

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DOI: 10.3390/COMPUTERS14070281

access: open

type: Journal Article

metadata version: 2025-10-01

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Davide Paolini, Pierpaolo Dini, Ettore Soldaini, Sergio Saponara:
One-Class Anomaly Detection for Industrial Applications: A Comparative Survey and Experimental Study. Comput. 14(7): 281 (2025)

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