A Generalized Framework for Detecting Anomalies in Real-Time Using Contextual Information

Evana Gizzi, Lisa Le Vie, Matthias Scheutz, Vasanth Sarathy, Jivko Sinapov. A Generalized Framework for Detecting Anomalies in Real-Time Using Contextual Information. In Jörg Cassens, Rebekah Wegener, Anders Kofod-Petersen, editors, Proceedings of the Tenth International Workshop Modelling and Reasoning in Context co-located with the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) and the 23rd European Conference on Artificial Intelligence (ECAI 2018), Stockholm, Sweden, July 13, 2018. Volume 2134 of CEUR Workshop Proceedings, pages 1-7, CEUR-WS.org, 2018. [doi]

@inproceedings{GizziVSSS18,
  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},
  url = {http://ceur-ws.org/Vol-2134/paper03.pdf},
  researchr = {https://researchr.org/publication/GizziVSSS18},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {Proceedings of the Tenth International Workshop Modelling and Reasoning in Context co-located with the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) and the 23rd European Conference on Artificial Intelligence (ECAI 2018), Stockholm, Sweden, July 13, 2018},
  editor = {Jörg Cassens and Rebekah Wegener and Anders Kofod-Petersen},
  volume = {2134},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}