User Feedback to Improve the Performance of a Cyberattack Detection Artificial Intelligence System in the e-Health Domain

Carmelo Ardito, Tommaso Di Noia, Eugenio Di Sciascio, Domenico LofĂș, Andrea Pazienza, Felice Vitulano. User Feedback to Improve the Performance of a Cyberattack Detection Artificial Intelligence System in the e-Health Domain. In Carmelo Ardito, Rosa Lanzilotti, Alessio Malizia, Helen Petrie, Antonio Piccinno, Giuseppe Desolda, Kori Inkpen, editors, Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30 - September 3, 2021, Proceedings, Part V. Volume 12936 of Lecture Notes in Computer Science, pages 295-299, Springer, 2021. [doi]

@inproceedings{ArditoNSLPV21,
  title = {User Feedback to Improve the Performance of a Cyberattack Detection Artificial Intelligence System in the e-Health Domain},
  author = {Carmelo Ardito and Tommaso Di Noia and Eugenio Di Sciascio and Domenico LofĂș and Andrea Pazienza and Felice Vitulano},
  year = {2021},
  doi = {10.1007/978-3-030-85607-6_25},
  url = {https://doi.org/10.1007/978-3-030-85607-6_25},
  researchr = {https://researchr.org/publication/ArditoNSLPV21},
  cites = {0},
  citedby = {0},
  pages = {295-299},
  booktitle = {Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30 - September 3, 2021, Proceedings, Part V},
  editor = {Carmelo Ardito and Rosa Lanzilotti and Alessio Malizia and Helen Petrie and Antonio Piccinno and Giuseppe Desolda and Kori Inkpen},
  volume = {12936},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-85607-6},
}