A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments - researchr publication authors

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Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos. A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments. In Leonard Barolli, Flora Amato, Francesco Moscato 0001, Tomoya Enokido, Makoto Takizawa 0001, editors, Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA-2020, Caserta, Italy, 15-17 April [canceled because of the COVID-19 crisis]. Volume 1151 of Advances in Intelligent Systems and Computing, pages 693-702, Springer, 2020. [doi]

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