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Marta Quemada Lopez

Doctoral Research Fellow - Data and Knowledge Management

Email martaq@ifi.uio.no

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Visiting address Gaustadalléen 23B 0373 Oslo

Postal address Postboks 1080 Blindern 0316 Oslo

Other affiliations Faculty of Mathematics and Natural Sciences (Student)

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Publications

Lopez, Marta Quemada; Plagemann, Thomas Peter; Goebel, Vera Hermine; Adams, Jonathan; Hui, David & Øverland, Britt [Show all 8 contributors for this article] (2024). Requirements Analysis for Responsible Explainable AI for Pediatric Sleep Apnea Diagnosis. In Pesch, Dirk (Eds.), Proceeding IEEE International Conference on Smart Computing 2024. IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798350349948. p. 362–367. doi: 10.1109/SMARTCOMP61445.2024.00082. Full text in Research Archive Show summary
This paper presents a novel approach to requirements engineering for responsible explainable AI (rexAI) that pays attention to the broad range of explanation aspects and enforces the consideration of computer science, ethical, legal, and medical requirements. The medical use-case we are investigating is pediatric sleep apnea diagnosis. We analyze the non-functional and functional requirements and explore the multiple relationships and dependencies between the rexAI requirements and principles.

Lopez, Marta Quemada (2024). Uncertainty Quantification in Deep Learning Models for Sleep Apnea Detection. Full text in Research Archive
Lopez, Marta Quemada; Plagemann, Thomas Peter; Goebel, Vera Hermine; Adams, Jonathan; Hui, David & Øverland, Britt [Show all 8 contributors for this article] (2024). Requirements Analysis for Responsible Explainable AI for Pediatric Sleep Apnea Diagnosis. Full text in Research Archive

Published Mar. 25, 2024 10:44 AM - Last modified Mar. 25, 2024 10:44 AM