Conference Paper/Proceeding/Abstract 818 views 194 downloads
An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
PRICAI 2021: Trends in Artificial Intelligence, Pages: 323 - 335
Swansea University Authors:
James Hinns, Xiuyi Fan, Siyuan Liu , Raghav Kovvuri, Markus Roggenbach
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PDF | Accepted Manuscript
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DOI (Published version): 10.1007/978-3-030-89188-6_24
Abstract
An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
Published in: | PRICAI 2021: Trends in Artificial Intelligence |
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ISSN: | 0302-9743 1611-3349 |
Published: |
Cham
Springer International Publishing
2021
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa57960 |
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College: |
Faculty of Science and Engineering |
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Start Page: |
323 |
End Page: |
335 |