Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools

Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos. Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools. Data \& Knowledge Engineering, 130:101850, 2020. [doi]

Authors

Rocco Langone

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Alfredo Cuzzocrea

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Nikolaos Skantzos

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