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]
@article{LangoneCS20-0,
title = {Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools},
author = {Rocco Langone and Alfredo Cuzzocrea and Nikolaos Skantzos},
year = {2020},
doi = {10.1016/j.datak.2020.101850},
url = {https://doi.org/10.1016/j.datak.2020.101850},
researchr = {https://researchr.org/publication/LangoneCS20-0},
cites = {0},
citedby = {0},
journal = {Data \& Knowledge Engineering},
volume = {130},
pages = {101850},
}