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Conference Paper/Proceeding/Abstract 699 views 161 downloads

An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study

James Hinns, Xiuyi Fan, Siyuan Liu Orcid Logo, Raghav Kovvuri, Mehmet Orcun Yalcin, Markus Roggenbach Orcid Logo

PRICAI 2021: Trends in Artificial Intelligence, Pages: 323 - 335

Swansea University Authors: James Hinns, Xiuyi Fan, Siyuan Liu Orcid Logo, Raghav Kovvuri, Markus Roggenbach Orcid Logo

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DOI (Published version): 10.1007/978-3-030-89188-6_24

Published in: PRICAI 2021: Trends in Artificial Intelligence
ISSN: 0302-9743 1611-3349
Published: Cham Springer International Publishing 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa57960
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first_indexed 2021-11-18T16:34:29Z
last_indexed 2021-11-19T04:24:55Z
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spelling 2021-11-18T16:42:08.9185454 v2 57960 2021-09-19 An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study 00ed3d6ac9eafa037b2fa3aa26cde6c0 James Hinns James Hinns true false a88a07c43b3e80f27cb96897d1bc2534 Xiuyi Fan Xiuyi Fan true false 65eb72224498b541c31d702329a2a9d5 0000-0003-1121-594X Siyuan Liu Siyuan Liu true false 80d30602cc477edfcfc6b26e24576f6c Raghav Kovvuri Raghav Kovvuri true false 7733869ae501442da6926fac77cd155b 0000-0002-3819-2787 Markus Roggenbach Markus Roggenbach true false 2021-09-19 SCS Conference Paper/Proceeding/Abstract PRICAI 2021: Trends in Artificial Intelligence 323 335 Springer International Publishing Cham 0302-9743 1611-3349 25 10 2021 2021-10-25 10.1007/978-3-030-89188-6_24 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2021-11-18T16:42:08.9185454 2021-09-19T17:42:39.6199888 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science James Hinns 1 Xiuyi Fan 2 Siyuan Liu 0000-0003-1121-594X 3 Raghav Kovvuri 4 Mehmet Orcun Yalcin 5 Markus Roggenbach 0000-0002-3819-2787 6 57960__20925__f607478111684d0e9cc3426d42305148.pdf 21_An_Initial_Study_of_Machine_Learning_Underspecification.pdf 2021-09-19T17:45:26.2406278 Output 567474 application/pdf Accepted Manuscript true false
title An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
spellingShingle An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
James Hinns
Xiuyi Fan
Siyuan Liu
Raghav Kovvuri
Markus Roggenbach
title_short An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
title_full An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
title_fullStr An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
title_full_unstemmed An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
title_sort An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study
author_id_str_mv 00ed3d6ac9eafa037b2fa3aa26cde6c0
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author_id_fullname_str_mv 00ed3d6ac9eafa037b2fa3aa26cde6c0_***_James Hinns
a88a07c43b3e80f27cb96897d1bc2534_***_Xiuyi Fan
65eb72224498b541c31d702329a2a9d5_***_Siyuan Liu
80d30602cc477edfcfc6b26e24576f6c_***_Raghav Kovvuri
7733869ae501442da6926fac77cd155b_***_Markus Roggenbach
author James Hinns
Xiuyi Fan
Siyuan Liu
Raghav Kovvuri
Markus Roggenbach
author2 James Hinns
Xiuyi Fan
Siyuan Liu
Raghav Kovvuri
Mehmet Orcun Yalcin
Markus Roggenbach
format Conference Paper/Proceeding/Abstract
container_title PRICAI 2021: Trends in Artificial Intelligence
container_start_page 323
publishDate 2021
institution Swansea University
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-030-89188-6_24
publisher Springer International Publishing
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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active_str 0
published_date 2021-10-25T04:14:05Z
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