User Feedback to Improve the Performance of a Cyberattack Detection Artificial Intelligence System in the e-Health Domain-Reference-Cited by-同舟云学术

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

Published:2021 Issue: Volume: Page:295-299
ISSN:0302-9743
Container-title:Human-Computer Interaction – INTERACT 2021
language:
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Author:

Ardito Carmelo,Di Noia Tommaso^ORCID,Di Sciascio Eugenio^ORCID,Lofù Domenico^ORCID,Pazienza Andrea^ORCID,Vitulano Felice^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-85607-6_25

Reference12 articles.

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3. Ardito, C., et al.: Towards a situation awareness for ehealth in ageing society. In: Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society (AIxAS 2020), pp. 40–55 (2020)

4. Fails, J.A., Olsen Jr., D.R.: Interactive machine learning. In: Proceedings of the 8th International Conference on Intelligent User Interfaces, pp. 39–45 (2003)

5. Koch, J., Taffin, N., Beaudouin-Lafon, M., Laine, M., Lucero, A., Mackay, W.E.: ImageSense: an intelligent collaborative ideation tool to support diverse human-computer partnerships. Proc. ACM Hum.-Comput. Interact. 4(CSCW1), 1–27 (2020)

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