A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments

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]

@inproceedings{LangoneCS20,
  title = {A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments},
  author = {Rocco Langone and Alfredo Cuzzocrea and Nikolaos Skantzos},
  year = {2020},
  doi = {10.1007/978-3-030-44041-1_61},
  url = {https://doi.org/10.1007/978-3-030-44041-1_61},
  researchr = {https://researchr.org/publication/LangoneCS20},
  cites = {0},
  citedby = {0},
  pages = {693-702},
  booktitle = {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]},
  editor = {Leonard Barolli and Flora Amato and Francesco Moscato 0001 and Tomoya Enokido and Makoto Takizawa 0001},
  volume = {1151},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-44041-1},
}