Detecting non-conforming behaviors, called anomalies, is an important tool for intelligent systems, as it serves as a first step for learning new information and handling it in an appropriate way. To establish a technique for capturing anomalies using contextual and predictive information, we present a generalized framework for detecting anomalies in real-time
@incollection{gizzi2018ijcai,
title={A Generalized Framework for Detecting Anomalies in Real-Time Using Contextual Information},
author={Evana Gizzi and Lisa Le Vie and Matthias Scheutz and Vasanth Sarathy and Jivko Sinapov},
year={2018},
booktitle={Proceedings of the 2018 IJCAI Workshop on Modeling and Reasoning in Context (MRC)},
url={https://hrilab.tufts.edu/publications/gizzi2018ijcai.pdf}
}