Conference Paper/Proceeding/Abstract 913 views 219 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 
,
Raghav Kovvuri,
Mehmet Orcun Yalcin,
Markus Roggenbach
,
Raghav Kovvuri,
Mehmet Orcun Yalcin,
Markus Roggenbach
PRICAI 2021: Trends in Artificial Intelligence, Pages: 323 - 335
Swansea University Authors:
James Hinns, Xiuyi Fan, Siyuan Liu , Raghav Kovvuri, Markus Roggenbach
-
PDF | Accepted Manuscript
Download (554.17KB)
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 |
|---|---|
| ISSN: | 0302-9743 1611-3349 |
| Published: |
Cham
Springer International Publishing
2021
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa57960 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| College: |
Faculty of Science and Engineering |
|---|---|
| Start Page: |
323 |
| End Page: |
335 |